1 00:00:00,840 --> 00:00:04,000 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:05,280 Speaker 1: my co host Matt Miller. 3 00:00:05,640 --> 00:00:09,600 Speaker 2: Every business day we bring you interviews from CEOs, market pros, 4 00:00:09,720 --> 00:00:13,600 Speaker 2: and Bloomberg experts, along with essential market moven news. 5 00:00:14,160 --> 00:00:17,279 Speaker 1: Find the Bloomberg Markets podcast called Apple Podcasts or wherever 6 00:00:17,400 --> 00:00:20,520 Speaker 1: you listen to podcasts, and at Bloomberg dot com slash podcast. 7 00:00:21,079 --> 00:00:23,200 Speaker 1: All right, let's bring on our next guest. We love 8 00:00:23,280 --> 00:00:27,200 Speaker 1: talking to Danielle. Danielle de Martino Booth, chief strategist and 9 00:00:27,320 --> 00:00:31,480 Speaker 1: CEO at QI Intelligence. Danielle, We've now had some time 10 00:00:31,520 --> 00:00:33,360 Speaker 1: a weekend or so to kind of digest what we've 11 00:00:33,400 --> 00:00:37,000 Speaker 1: heard from various central bankers around the world. I'm sure 12 00:00:37,000 --> 00:00:39,839 Speaker 1: you've had a chance to kind of coalesce a viewpoint. 13 00:00:40,080 --> 00:00:42,280 Speaker 1: Anything change for you. What are you really thinking about 14 00:00:42,320 --> 00:00:45,400 Speaker 1: where these central banks are going, where rates are going, 15 00:00:45,440 --> 00:00:47,440 Speaker 1: based on what we learned from some of them last week. 16 00:00:48,840 --> 00:00:51,040 Speaker 3: Well, I think at a very minimum, you need to 17 00:00:51,040 --> 00:00:52,640 Speaker 3: think of rates as going nowhere. 18 00:00:52,800 --> 00:00:55,120 Speaker 4: Okay, and I say that as a minimum. 19 00:00:55,440 --> 00:00:58,279 Speaker 3: We've only got a twenty percent probability of a rate 20 00:00:58,360 --> 00:01:00,920 Speaker 3: hike for the September the twentieth, But you know, this 21 00:01:00,960 --> 00:01:03,920 Speaker 3: is a big week for payroll data, so you know, 22 00:01:04,520 --> 00:01:08,000 Speaker 3: more strength in that area, even if it's very lagged 23 00:01:08,040 --> 00:01:11,080 Speaker 3: in nature, even if we're seeing massive revisions come out 24 00:01:11,080 --> 00:01:13,560 Speaker 3: of the Bureau of Labor Statistics, their birth death adjustment 25 00:01:13,920 --> 00:01:18,679 Speaker 3: showed a negative eight hundred and sixteen thousand revision downward 26 00:01:19,040 --> 00:01:22,840 Speaker 3: in the three quarters and December thirty first, twenty twenty two. 27 00:01:23,200 --> 00:01:26,160 Speaker 3: Even though the data seems to be catching up with reality, 28 00:01:26,440 --> 00:01:27,560 Speaker 3: it's pretty apparent to me. 29 00:01:27,480 --> 00:01:28,080 Speaker 4: At least that J. 30 00:01:28,280 --> 00:01:32,399 Speaker 3: Powell is looking at backward looking data for reasons to 31 00:01:32,560 --> 00:01:35,839 Speaker 3: justify higher for longer. I think that that is the goal, 32 00:01:36,160 --> 00:01:37,760 Speaker 3: and I think that he's going to look for whatever 33 00:01:37,880 --> 00:01:41,640 Speaker 3: data he can find to justify pressing forward with another 34 00:01:41,720 --> 00:01:44,600 Speaker 3: rate high ort again at a minimum, staying higher for longer, 35 00:01:44,640 --> 00:01:46,360 Speaker 3: continuing to run that balance sheet down. 36 00:01:47,000 --> 00:01:49,960 Speaker 5: Danielle, this is Simone here in New York. Good morning 37 00:01:50,000 --> 00:01:53,560 Speaker 5: to you. You know you talk about this meeting reality, 38 00:01:53,600 --> 00:01:58,800 Speaker 5: the FED meeting reality, and how the yellow trucking shut 39 00:01:58,840 --> 00:02:01,400 Speaker 5: down may herald the big beginning of a sort of 40 00:02:01,440 --> 00:02:05,160 Speaker 5: bankruptcy cycle. How do you see this playing out? What 41 00:02:05,240 --> 00:02:09,799 Speaker 5: kind of timeline would you anticipate for seeing more bankruptcies? 42 00:02:09,880 --> 00:02:12,480 Speaker 5: And then when can kind of the FED no longer 43 00:02:12,520 --> 00:02:13,119 Speaker 5: ignore that. 44 00:02:14,440 --> 00:02:16,880 Speaker 3: You know, that's a fabulous question, because you know, if 45 00:02:16,880 --> 00:02:20,560 Speaker 3: you look at bcygo on the terminal, you'll see that 46 00:02:20,600 --> 00:02:22,639 Speaker 3: the march of bankruptcies really. 47 00:02:22,639 --> 00:02:23,839 Speaker 4: Has not subsided. 48 00:02:23,880 --> 00:02:27,200 Speaker 3: We're continuing to see bankruptcies roll in at the fastest 49 00:02:27,240 --> 00:02:30,080 Speaker 3: pace since two thousand and nine. I think what the 50 00:02:30,120 --> 00:02:32,600 Speaker 3: FED has to take into account though, right now. 51 00:02:32,520 --> 00:02:33,320 Speaker 4: Is headline risk. 52 00:02:33,639 --> 00:02:36,679 Speaker 3: You kind of had a series of quarters where Silicon 53 00:02:36,760 --> 00:02:40,239 Speaker 3: Valley was coming out with very splashy headlines ten thousand here, 54 00:02:40,280 --> 00:02:43,280 Speaker 3: ten thousand there, and then that kind of went dormant 55 00:02:43,360 --> 00:02:46,560 Speaker 3: for a while. We really haven't seen headline risk in 56 00:02:46,680 --> 00:02:49,720 Speaker 3: layoffs announcements, but I think that we're going to see 57 00:02:49,760 --> 00:02:54,200 Speaker 3: that increasingly going forward. Whether you're talking to Chris Williamson 58 00:02:54,360 --> 00:02:57,520 Speaker 3: over at Standard and Poors, who is saying that, you know, 59 00:02:57,520 --> 00:03:01,560 Speaker 3: if manufacturing backlogs remain in traction as they'd have now 60 00:03:01,600 --> 00:03:04,960 Speaker 3: for fourteen fifteen straight months, that you're going to start 61 00:03:05,000 --> 00:03:08,720 Speaker 3: to see manufacturers that are not benefiting from the Inflation 62 00:03:08,760 --> 00:03:12,760 Speaker 3: Production Act, they are not building green new factories, You're 63 00:03:12,800 --> 00:03:15,079 Speaker 3: going to see layoffs start to come through. And that's 64 00:03:15,120 --> 00:03:18,400 Speaker 3: exactly what Chris Williamson warned about in the second quarter 65 00:03:18,400 --> 00:03:21,320 Speaker 3: earning season. Remember worldly at the halfway point in this 66 00:03:21,360 --> 00:03:24,560 Speaker 3: earning season, and you've got this great, big splashy thirty 67 00:03:24,639 --> 00:03:27,720 Speaker 3: thousand people losing their jobs. Because it looks like this 68 00:03:27,760 --> 00:03:30,480 Speaker 3: is going to be a Chapter seven filing straight to 69 00:03:30,520 --> 00:03:33,960 Speaker 3: liquidation as opposed to a Chapter eleven restructuring. This is 70 00:03:34,000 --> 00:03:36,440 Speaker 3: going to take capture a lot of Americans' attention. 71 00:03:37,320 --> 00:03:40,240 Speaker 1: So we're going to have a ton of economic data 72 00:03:40,480 --> 00:03:42,240 Speaker 1: this week, Danielle, You're going to you and your team 73 00:03:42,240 --> 00:03:46,280 Speaker 1: going to be very busy. Obviously, the non form payroll 74 00:03:46,360 --> 00:03:49,280 Speaker 1: will be a big data point. I guess I'm looking 75 00:03:49,280 --> 00:03:52,720 Speaker 1: around the world. I'm seeing some recessions around the world. 76 00:03:52,760 --> 00:03:55,760 Speaker 1: I guess Germany just had a flatline quarter after a 77 00:03:55,800 --> 00:03:59,960 Speaker 1: couple quarters of contraction. Are you concerned? What is your 78 00:04:00,160 --> 00:04:02,440 Speaker 1: level of concern about this US economy here? 79 00:04:03,760 --> 00:04:07,360 Speaker 3: Well, the US economy cannot claim to exist on an island. 80 00:04:07,680 --> 00:04:10,600 Speaker 3: You know, there was a very slight uptick in Chinese 81 00:04:10,640 --> 00:04:15,040 Speaker 3: official manufacturing data overnight, but that remained in contraction. I 82 00:04:15,120 --> 00:04:18,400 Speaker 3: think the more notable development out of China, given that 83 00:04:18,480 --> 00:04:21,520 Speaker 3: we had such great hopes for this reopening trade, is 84 00:04:21,600 --> 00:04:25,839 Speaker 3: more so that we're seeing a downward movement in the 85 00:04:26,000 --> 00:04:30,520 Speaker 3: services components of these PMI numbers, and that I think 86 00:04:30,680 --> 00:04:34,240 Speaker 3: was what people paid closer attention to overnight. G If 87 00:04:34,279 --> 00:04:36,599 Speaker 3: it's not going to be the industrial sector out of China, 88 00:04:36,839 --> 00:04:38,880 Speaker 3: then what's going to happen if the services side is 89 00:04:38,880 --> 00:04:41,840 Speaker 3: slowing down? Specifically that that service is one dropped to 90 00:04:41,920 --> 00:04:44,120 Speaker 3: fifty one point five. So you're kind of on the 91 00:04:44,279 --> 00:04:47,800 Speaker 3: edge of contraction in the second largest economy. And as 92 00:04:47,839 --> 00:04:52,600 Speaker 3: you just pointed out, Germany is really three quarters into recession. 93 00:04:52,960 --> 00:04:56,000 Speaker 3: We saw that the first quarter in Germany ended up 94 00:04:56,000 --> 00:04:59,640 Speaker 3: being revised downward into contraction. We could see a similar 95 00:05:00,080 --> 00:05:02,320 Speaker 3: a bit of data coming out of Germany that revises 96 00:05:02,360 --> 00:05:06,119 Speaker 3: this the second quarter into contraction as well. The United 97 00:05:06,160 --> 00:05:09,120 Speaker 3: States cannot isolate. 98 00:05:08,640 --> 00:05:12,400 Speaker 4: Itself from the globality of the current recession. 99 00:05:13,200 --> 00:05:15,760 Speaker 5: Yeah, but I mean to that end, though, the United 100 00:05:15,760 --> 00:05:20,760 Speaker 5: States has existed a little bit apart from China for 101 00:05:20,839 --> 00:05:24,880 Speaker 5: several years now. Considering how slowly China has come back 102 00:05:24,920 --> 00:05:30,520 Speaker 5: in the game post pandemic, and the US consumer remains strong, 103 00:05:30,560 --> 00:05:33,120 Speaker 5: I mean, do you think that the US consumer can 104 00:05:33,200 --> 00:05:36,599 Speaker 5: potentially continue to kind of power through some of this 105 00:05:36,880 --> 00:05:40,720 Speaker 5: growth and offset some of the woes that we hear 106 00:05:40,839 --> 00:05:43,440 Speaker 5: from around the world despite this level of a rising 107 00:05:43,440 --> 00:05:44,080 Speaker 5: interst rates. 108 00:05:45,080 --> 00:05:48,400 Speaker 3: You know, it's interesting you raise that question. Outside of 109 00:05:48,440 --> 00:05:50,760 Speaker 3: the employee Retention Credit, which we know, I think pumped 110 00:05:50,839 --> 00:05:54,479 Speaker 3: about thirty three billion dollars into the US economy, we 111 00:05:54,560 --> 00:05:57,640 Speaker 3: know much of this is fraudulent. Outside of that fiscal 112 00:05:57,760 --> 00:06:01,240 Speaker 3: area of massive support going to some of the wealthy Americans, 113 00:06:01,400 --> 00:06:04,640 Speaker 3: We're seeing a big uptick in the number of student 114 00:06:04,720 --> 00:06:07,760 Speaker 3: loan borrowers who are preemptively getting out in front of 115 00:06:07,760 --> 00:06:11,120 Speaker 3: what they know to be resumed student loan payments, and 116 00:06:11,160 --> 00:06:14,400 Speaker 3: that's going to have a crimping effect on US consumption. 117 00:06:14,440 --> 00:06:17,400 Speaker 3: And we are indeed beginning to see that. So people 118 00:06:17,440 --> 00:06:21,040 Speaker 3: are getting ahead of interest accrual beginning on septem of 119 00:06:21,080 --> 00:06:24,240 Speaker 3: the first actual payments beginning on October the first. I 120 00:06:24,320 --> 00:06:28,880 Speaker 3: don't see an offset to that in terms of layoffs decreasing, 121 00:06:28,960 --> 00:06:32,640 Speaker 3: in terms of hiring increasing. We're just not seeing enough 122 00:06:32,640 --> 00:06:36,960 Speaker 3: evidence to show that there's any upward momentum going forward 123 00:06:37,279 --> 00:06:38,560 Speaker 3: for the US consumer. 124 00:06:39,720 --> 00:06:42,359 Speaker 1: All Right, So I'm going back and I'm looking at 125 00:06:42,400 --> 00:06:45,240 Speaker 1: this ecoscreen on the Bloomberg terminal. It is literally two 126 00:06:45,320 --> 00:06:47,720 Speaker 1: screens full of data we're going to get this week, Danielle, 127 00:06:47,760 --> 00:06:49,479 Speaker 1: can you help me focus on what I need to 128 00:06:49,480 --> 00:06:51,200 Speaker 1: focus on if there's a data point out there that 129 00:06:51,279 --> 00:06:53,799 Speaker 1: you're really going to pay attention to this week. 130 00:06:55,080 --> 00:06:56,880 Speaker 3: So I'm going to be looking a lot in terms 131 00:06:56,920 --> 00:07:00,719 Speaker 3: of hours worked, and that really is a gauge of 132 00:07:00,760 --> 00:07:04,960 Speaker 3: how tightly employees are holding on to their employers are 133 00:07:05,000 --> 00:07:08,280 Speaker 3: holding onto their employees. If they're cutting back hours aggressively, 134 00:07:08,640 --> 00:07:12,640 Speaker 3: trying to not push through with cutting handcount to cut costs. 135 00:07:12,920 --> 00:07:15,720 Speaker 3: That's something we pay very close attention to. And again, 136 00:07:15,960 --> 00:07:18,640 Speaker 3: we had Chicago PMI just out a few minutes ago 137 00:07:18,800 --> 00:07:22,119 Speaker 3: that showed that backlogs remain in contraction. I'll be looking 138 00:07:22,160 --> 00:07:25,040 Speaker 3: for a similar echo out of the Dallas Fed Manufacturing 139 00:07:25,080 --> 00:07:28,480 Speaker 3: that hits at half past this hour. I focus, we 140 00:07:28,560 --> 00:07:32,240 Speaker 3: focus at QI Research so closely on backlogs because that 141 00:07:32,440 --> 00:07:34,560 Speaker 3: is a gauge of future demand. 142 00:07:34,680 --> 00:07:36,480 Speaker 4: If the demand is not there, if. 143 00:07:36,440 --> 00:07:39,920 Speaker 3: Unfilled orders are not there, and in fact contracting, that 144 00:07:40,040 --> 00:07:42,760 Speaker 3: means that your need for employees is decreasing as a 145 00:07:42,760 --> 00:07:43,520 Speaker 3: factor of time. 146 00:07:43,720 --> 00:07:45,840 Speaker 1: Hi, Danielle, thank you very much. Always appreciate getting a 147 00:07:45,840 --> 00:07:48,440 Speaker 1: couple minutes of your time, Danielle. Dee Martina Booth, CEO 148 00:07:48,640 --> 00:07:52,720 Speaker 1: and chief strategists at QI Research. Busy Busy Economic Week. 149 00:07:52,720 --> 00:07:57,160 Speaker 6: This week, you're listening to the Team Cans live program 150 00:07:57,280 --> 00:08:01,240 Speaker 6: Bloomberg Markets weekdays at ten am Eastern on Bloomberg dot Com, 151 00:08:01,320 --> 00:08:04,680 Speaker 6: the iHeartRadio app and the Bloomberg Business App, or listen. 152 00:08:04,520 --> 00:08:06,640 Speaker 7: On demand wherever you get your podcasts. 153 00:08:08,800 --> 00:08:10,680 Speaker 1: Still got a ton of earning, so when we get 154 00:08:10,680 --> 00:08:12,480 Speaker 1: their earnings, we like to talk to smart people and 155 00:08:12,520 --> 00:08:15,080 Speaker 1: we can find them. We just dial b Igo on 156 00:08:15,120 --> 00:08:18,200 Speaker 1: the terminal that gets you Bloomberg Intelligence four hundred research 157 00:08:18,200 --> 00:08:21,280 Speaker 1: anelts around the world covering you know, two thousand companies 158 00:08:21,320 --> 00:08:23,320 Speaker 1: one hundred and thirty industries and what they do is 159 00:08:23,360 --> 00:08:24,080 Speaker 1: really incredible. 160 00:08:24,120 --> 00:08:26,520 Speaker 5: They take you through from the beginning to the end 161 00:08:26,760 --> 00:08:28,720 Speaker 5: of how these stories for these different times. 162 00:08:28,800 --> 00:08:30,360 Speaker 1: Yeah, I don't know who started that business, but the 163 00:08:30,400 --> 00:08:32,959 Speaker 1: person must be a genius here. Anyway, let's bring in 164 00:08:33,000 --> 00:08:34,880 Speaker 1: a couple of those smart ones. Man Deep Scene covers 165 00:08:34,920 --> 00:08:38,640 Speaker 1: the tech stuff for Bloomberg Intelligence, and Punamcoil covers all 166 00:08:38,640 --> 00:08:40,440 Speaker 1: the retail and we're going to tie that in because 167 00:08:40,600 --> 00:08:44,480 Speaker 1: retail and technology they have collided. I think Amazon dot Com. 168 00:08:44,520 --> 00:08:47,040 Speaker 1: All right, So Man Deep, I want to start off with, 169 00:08:47,480 --> 00:08:49,320 Speaker 1: and we'll let you do I know this news on 170 00:08:49,360 --> 00:08:51,280 Speaker 1: pat palns. Here I'm gonna talk about Apple. What do 171 00:08:51,360 --> 00:08:53,760 Speaker 1: I need to pay attention to from Apples when they 172 00:08:53,800 --> 00:08:56,720 Speaker 1: report numbers after the closed Thursday unit shipments. 173 00:08:56,760 --> 00:09:00,400 Speaker 8: When it comes to smartphones as well as your tutts 174 00:09:00,520 --> 00:09:04,880 Speaker 8: and Max and look, I think expectations are low. Unlike 175 00:09:05,000 --> 00:09:09,800 Speaker 8: some of the other tech companies, Apple's estimates have gone down, 176 00:09:10,200 --> 00:09:13,959 Speaker 8: so in terms of you know, expectations, they are low. 177 00:09:14,600 --> 00:09:17,959 Speaker 8: I do think they're probably going to print an inline quarter. 178 00:09:18,200 --> 00:09:21,280 Speaker 8: But in terms of guide you have the iPhone fifteen 179 00:09:21,320 --> 00:09:24,959 Speaker 8: coming up. That is where the focus is the holiday quarter. 180 00:09:25,240 --> 00:09:25,920 Speaker 8: What could it do? 181 00:09:26,080 --> 00:09:29,240 Speaker 1: I think I might upgrade to the fifteen. Honor Rocks 182 00:09:29,280 --> 00:09:31,840 Speaker 1: pushing it on rok Run another one in your tech 183 00:09:32,360 --> 00:09:36,000 Speaker 1: flunkies over their Bloomberg intelligence. He's tell me that's meaningful upgrade. 184 00:09:36,600 --> 00:09:39,080 Speaker 8: It is, but I guess in the context of what's 185 00:09:39,120 --> 00:09:42,079 Speaker 8: going on in the tech world, the generative AI buzz, 186 00:09:42,720 --> 00:09:45,280 Speaker 8: it's not going to be that big off an upgrade 187 00:09:45,360 --> 00:09:47,679 Speaker 8: in terms of what the phone can do. And everyone 188 00:09:47,760 --> 00:09:52,000 Speaker 8: is excited about potentially upgrading the hardware for running these 189 00:09:52,080 --> 00:09:54,280 Speaker 8: large language models on your phone. I don't think the 190 00:09:54,320 --> 00:09:56,000 Speaker 8: iPhone fifteen doing that. 191 00:09:56,400 --> 00:09:57,199 Speaker 9: I mean, I'm interested. 192 00:09:57,360 --> 00:10:00,240 Speaker 5: Is this part of the overall weakness that you have 193 00:10:00,280 --> 00:10:03,600 Speaker 5: seen in PC demand? Is it just that your PCs 194 00:10:03,679 --> 00:10:07,679 Speaker 5: last longer, or is it somehow about penny pinching and 195 00:10:07,760 --> 00:10:10,160 Speaker 5: a broader consumer story at this point With that. 196 00:10:10,360 --> 00:10:13,400 Speaker 8: I think there was a kind of certain cadence to 197 00:10:13,520 --> 00:10:17,280 Speaker 8: refresh cycle for both piecs and smartphones that hasn't changed. 198 00:10:17,760 --> 00:10:21,280 Speaker 8: Every time you have a big upgrade to hardware is 199 00:10:21,280 --> 00:10:24,000 Speaker 8: when you have a new technology coming up, and I 200 00:10:24,040 --> 00:10:28,840 Speaker 8: think whether it's linking your headset or being able to 201 00:10:28,920 --> 00:10:31,920 Speaker 8: run generative AI on your phone, these are the type 202 00:10:31,920 --> 00:10:35,640 Speaker 8: of things that can drive people to upgrade their phones, 203 00:10:35,720 --> 00:10:38,319 Speaker 8: the ones that are on the fans. My device is 204 00:10:38,360 --> 00:10:41,160 Speaker 8: good enough, do I really need a new one? And 205 00:10:41,200 --> 00:10:44,320 Speaker 8: that's what drives the asps. So right now everyone is 206 00:10:44,360 --> 00:10:47,760 Speaker 8: talking about even though the unit shipments is flat, how 207 00:10:47,760 --> 00:10:51,000 Speaker 8: will Apple keep growing? It's the services and the asps 208 00:10:51,040 --> 00:10:53,839 Speaker 8: because the next version of the phones continues to get 209 00:10:53,880 --> 00:10:55,920 Speaker 8: expensive and they keep learning more services. 210 00:10:56,160 --> 00:10:59,120 Speaker 1: All right, Punham, We've got a lot of retailers set 211 00:10:59,120 --> 00:11:01,319 Speaker 1: the report and the come weeks, but let's start with 212 00:11:01,320 --> 00:11:04,200 Speaker 1: with Amazon. What do you expect the story to be 213 00:11:04,320 --> 00:11:05,080 Speaker 1: from Amazon. 214 00:11:06,000 --> 00:11:06,640 Speaker 4: It's dark pall. 215 00:11:06,760 --> 00:11:08,160 Speaker 10: I think it's going to be a mixed break. So 216 00:11:08,160 --> 00:11:10,959 Speaker 10: we're going to see some strength online with sales growing 217 00:11:11,480 --> 00:11:13,559 Speaker 10: or I should say gm re growing in the high 218 00:11:13,559 --> 00:11:16,400 Speaker 10: single digit range, which is a good thing because since 219 00:11:16,440 --> 00:11:19,559 Speaker 10: the pandemic, you know, Amazon has dealt to it having 220 00:11:19,960 --> 00:11:23,400 Speaker 10: to see more moderated sales growth and coming back to 221 00:11:23,480 --> 00:11:26,000 Speaker 10: the high single digit, low double digit range just puts 222 00:11:26,000 --> 00:11:28,439 Speaker 10: it on track to go back to the double digit 223 00:11:28,480 --> 00:11:31,280 Speaker 10: games that we've been used to seeing in online. But 224 00:11:31,360 --> 00:11:33,240 Speaker 10: outside of that, you know, the focus is also on 225 00:11:33,280 --> 00:11:37,040 Speaker 10: a WUS and EWS sales will slow in the quarter. 226 00:11:37,440 --> 00:11:40,320 Speaker 10: They're only expected to grow at a high single digit pace, 227 00:11:40,679 --> 00:11:44,080 Speaker 10: and they could even moderate further in three Q when 228 00:11:44,080 --> 00:11:46,520 Speaker 10: we see their guidance, which could probably be closer to 229 00:11:46,559 --> 00:11:47,240 Speaker 10: seven percent. 230 00:11:48,360 --> 00:11:51,520 Speaker 5: How much does AWS just simply outweigh, you know? However, 231 00:11:51,559 --> 00:11:55,160 Speaker 5: successful or not, Prime Day was the various shopping trends 232 00:11:55,160 --> 00:11:55,720 Speaker 5: that we're seeing. 233 00:11:56,559 --> 00:11:58,720 Speaker 10: Yeah, so Prime Day was a huge success. We heard 234 00:11:58,720 --> 00:12:01,440 Speaker 10: from Amazon the first day of it's largest sales date ever. 235 00:12:01,640 --> 00:12:04,840 Speaker 10: It even out faced Black Friday and Cyber Monday last year. 236 00:12:04,960 --> 00:12:06,600 Speaker 10: But when it comes to a WUS, the reason a 237 00:12:06,760 --> 00:12:10,520 Speaker 10: WS is so important because it is the cashprap for Amazon. 238 00:12:10,600 --> 00:12:14,280 Speaker 10: Right they produced pretty much all for nearly all of 239 00:12:14,280 --> 00:12:17,880 Speaker 10: Amazon's profits, so it's really important to see those profit 240 00:12:17,960 --> 00:12:21,720 Speaker 10: numbers rise. In the quarter, Amazon's a WUS business will 241 00:12:21,720 --> 00:12:24,640 Speaker 10: only yield about a twenty four percent profit margin. It 242 00:12:24,840 --> 00:12:27,880 Speaker 10: has historically been year thirty percent. We do see it 243 00:12:27,920 --> 00:12:30,040 Speaker 10: coming back to that and even now facing that as 244 00:12:30,040 --> 00:12:33,280 Speaker 10: we move forward in the next few years. But for now, 245 00:12:33,320 --> 00:12:36,520 Speaker 10: you know that profit dwindles a little, it will pressure 246 00:12:36,600 --> 00:12:37,760 Speaker 10: the overall profitability. 247 00:12:38,960 --> 00:12:42,559 Speaker 1: Man Deep AI is certainly story number one in your 248 00:12:42,559 --> 00:12:46,560 Speaker 1: world and technology another name today that seems to be 249 00:12:46,640 --> 00:12:49,160 Speaker 1: getting the you know, the AI you know, kind of 250 00:12:49,360 --> 00:12:51,720 Speaker 1: tap on the shoulders Palenteer. What's going on there? What 251 00:12:51,840 --> 00:12:54,880 Speaker 1: is Palenteer and why is it up eleven percent today? 252 00:12:55,240 --> 00:12:58,440 Speaker 8: So with all the talk around generative AI, and you know, 253 00:12:58,640 --> 00:13:01,800 Speaker 8: Microsoft is the only one that has launched a tangible 254 00:13:01,840 --> 00:13:06,160 Speaker 8: product around it. They're charging thirty dollars coat gpt well 255 00:13:06,800 --> 00:13:09,880 Speaker 8: and also they're charging thirty dollars for their co pilots. 256 00:13:10,360 --> 00:13:13,240 Speaker 8: This is the enterprise version of the product. Jackipt is 257 00:13:13,280 --> 00:13:17,120 Speaker 8: more consumer facing. So to me, you know, all these companies, 258 00:13:17,160 --> 00:13:21,880 Speaker 8: whether it's Palenteer Snowflake data breaks. What they're doing is 259 00:13:22,720 --> 00:13:26,040 Speaker 8: essentially ingesting these large amounts of data that is being 260 00:13:26,200 --> 00:13:30,520 Speaker 8: created and trying to use you know, generative AI or 261 00:13:30,640 --> 00:13:34,400 Speaker 8: large aguage models to make the AI better. And that 262 00:13:34,600 --> 00:13:36,040 Speaker 8: is what the play is now. 263 00:13:36,120 --> 00:13:36,880 Speaker 11: Whether or not. 264 00:13:36,920 --> 00:13:40,200 Speaker 8: They're successful in monetizing it, we don't know because they 265 00:13:40,280 --> 00:13:43,640 Speaker 8: haven't launched a product like Microsoft has, So. 266 00:13:44,000 --> 00:13:44,840 Speaker 4: That is the key. 267 00:13:45,000 --> 00:13:48,560 Speaker 8: If if any time you see a company actually launching 268 00:13:48,559 --> 00:13:51,560 Speaker 8: a product being able to sell their customers, that's when 269 00:13:51,600 --> 00:13:55,280 Speaker 8: you know this is a new deal. And that's I 270 00:13:55,280 --> 00:13:58,280 Speaker 8: think the only tangible revenue you see right now is 271 00:13:58,320 --> 00:14:01,240 Speaker 8: for Microsoft. Yes it's for they're out, but at least 272 00:14:01,240 --> 00:14:04,000 Speaker 8: they have a product out there they're looking to monetize it. 273 00:14:04,320 --> 00:14:07,720 Speaker 8: With Palenteer, you've seen multiple expansion. Yes, this is a 274 00:14:07,760 --> 00:14:11,800 Speaker 8: company that is built around data visualization and potentially could 275 00:14:11,840 --> 00:14:14,280 Speaker 8: use generative AI, but we don't know if they have 276 00:14:14,320 --> 00:14:15,000 Speaker 8: a product. 277 00:14:14,760 --> 00:14:16,840 Speaker 1: They'll be But that gets an eleven percent move in 278 00:14:16,840 --> 00:14:17,479 Speaker 1: the stock. 279 00:14:17,880 --> 00:14:20,560 Speaker 8: And that's where you know. Everything that has happened this 280 00:14:20,680 --> 00:14:25,480 Speaker 8: year is multiple expansion, no optick in estimates, so come earnings. 281 00:14:25,760 --> 00:14:29,320 Speaker 8: The expectations are sky high, and that's where you got 282 00:14:29,320 --> 00:14:30,760 Speaker 8: to deliver like Nvidia has. 283 00:14:30,800 --> 00:14:30,960 Speaker 7: You know. 284 00:14:31,320 --> 00:14:33,560 Speaker 1: That's what Doug Cast from Seabree's Partners was saying to 285 00:14:33,560 --> 00:14:37,000 Speaker 1: Tom Keenan and I. And he's he's gotten increasingly bearish 286 00:14:37,080 --> 00:14:39,680 Speaker 1: as years going on because it's all multiple expansion. He 287 00:14:39,720 --> 00:14:42,240 Speaker 1: hasn't seen the earnings yet the first half of the year. Okay, 288 00:14:42,280 --> 00:14:45,160 Speaker 1: he kind of understands, you know, the most recent you know, 289 00:14:45,400 --> 00:14:47,480 Speaker 1: four or five, six weeks he just doesn't get. So 290 00:14:47,520 --> 00:14:48,320 Speaker 1: that makes kind of surprise. 291 00:14:48,480 --> 00:14:53,160 Speaker 5: It's people looking for the long term growth that we're 292 00:14:53,160 --> 00:14:55,480 Speaker 5: not going to necessarily see immediately. But put on, I 293 00:14:55,480 --> 00:14:57,240 Speaker 5: want to throw this to you as well, because I 294 00:14:57,280 --> 00:15:01,160 Speaker 5: know you cover lots of these consumer and e commerce companies. 295 00:15:01,280 --> 00:15:04,760 Speaker 5: One of the things that that we've been trying to 296 00:15:04,800 --> 00:15:08,080 Speaker 5: parse here on the AI story is do we see 297 00:15:08,080 --> 00:15:10,600 Speaker 5: some of these AI upgrades roll out, you know, for 298 00:15:10,840 --> 00:15:15,600 Speaker 5: consumer benefit, for you know, tailoring ads that get to consumers, 299 00:15:15,640 --> 00:15:17,920 Speaker 5: for getting the right products in front of them, or 300 00:15:17,920 --> 00:15:21,720 Speaker 5: do we just simply see efficiency on the back end? 301 00:15:21,840 --> 00:15:23,400 Speaker 5: What are you seeing from some of the brands that 302 00:15:23,440 --> 00:15:25,240 Speaker 5: you cover, because I know there are quite the lengthy 303 00:15:25,280 --> 00:15:27,880 Speaker 5: list that report this week that may throw in that 304 00:15:27,920 --> 00:15:29,920 Speaker 5: mention of AI and their earnings calls. 305 00:15:31,240 --> 00:15:34,680 Speaker 10: Sure, I think AI is both. It definitely will drive 306 00:15:34,680 --> 00:15:37,760 Speaker 10: efficiencies on the back end, but we are seeing companies 307 00:15:37,800 --> 00:15:39,640 Speaker 10: also bring it to the benefit of the consumers and 308 00:15:39,720 --> 00:15:43,160 Speaker 10: the sellers. A recent example they reported last week and 309 00:15:43,240 --> 00:15:46,120 Speaker 10: they launched a listing program where you can take a 310 00:15:46,160 --> 00:15:48,960 Speaker 10: picture of a product that you want to sell and 311 00:15:49,160 --> 00:15:52,600 Speaker 10: AI will generate the description for you. So it removes 312 00:15:52,600 --> 00:15:55,160 Speaker 10: a pain point to our friction point in the selling 313 00:15:55,240 --> 00:15:59,240 Speaker 10: process and also allows you to amplify your listings online. 314 00:15:59,240 --> 00:16:02,080 Speaker 10: So we think that's one Useas we have revolved reporting 315 00:16:02,120 --> 00:16:05,920 Speaker 10: this week, they've used AI to help generate marketing billboards, 316 00:16:06,040 --> 00:16:08,920 Speaker 10: They're using AI to help improve search. So I think 317 00:16:08,960 --> 00:16:11,880 Speaker 10: there's a lot happening with AI, notably generative AI that's 318 00:16:11,920 --> 00:16:15,040 Speaker 10: really going to drive the ROI for both the buyers 319 00:16:15,160 --> 00:16:17,280 Speaker 10: and the sellers. 320 00:16:16,840 --> 00:16:17,600 Speaker 7: Real quick. 321 00:16:18,840 --> 00:16:20,760 Speaker 1: And deep. I want to talk to you about advanced 322 00:16:20,760 --> 00:16:23,560 Speaker 1: micro devices. It's a chip maker. Can it be a 323 00:16:23,960 --> 00:16:25,800 Speaker 1: Nvidia kind of like play? 324 00:16:26,560 --> 00:16:29,560 Speaker 8: I mean, last week we learned from Intel that PC 325 00:16:29,680 --> 00:16:33,080 Speaker 8: market seems to be bottoming out in terms of inventory correction, 326 00:16:33,200 --> 00:16:36,000 Speaker 8: so that's a positive sign. And look, bulk of AMD's 327 00:16:36,040 --> 00:16:39,440 Speaker 8: revenue is still tied to CPUs now what's going on 328 00:16:39,520 --> 00:16:43,600 Speaker 8: with generative AI is there is a substitution phenomena. Things 329 00:16:43,720 --> 00:16:46,800 Speaker 8: that you were able to do with CPUs before right 330 00:16:46,840 --> 00:16:50,000 Speaker 8: now you're looking to do with GPUs because that's where 331 00:16:50,040 --> 00:16:53,040 Speaker 8: the generative AI connection comes into play. So I do 332 00:16:53,080 --> 00:16:57,520 Speaker 8: think eventually you're going to find that these companies either 333 00:16:57,600 --> 00:17:03,120 Speaker 8: have to diversify their CPU footprint YEP and produce these accelerators, 334 00:17:03,400 --> 00:17:06,120 Speaker 8: or I think they will be a tale of two 335 00:17:06,240 --> 00:17:08,920 Speaker 8: stories that one part is growing and the other part 336 00:17:08,960 --> 00:17:09,600 Speaker 8: is declining. 337 00:17:09,680 --> 00:17:11,240 Speaker 1: All right, well, keep an eye on all that. More 338 00:17:11,280 --> 00:17:14,840 Speaker 1: earnings coming up this week and probably going into next 339 00:17:14,840 --> 00:17:17,479 Speaker 1: week as well. Man Deep Singh Punamgoyle. They are two 340 00:17:17,560 --> 00:17:20,120 Speaker 1: of the best analysts of Bloomberg Intelligence, one covering tech, 341 00:17:20,160 --> 00:17:22,960 Speaker 1: one covering retail. But guess what, it's all converging. 342 00:17:23,240 --> 00:17:26,359 Speaker 6: You're listening to the tape Cat's are live program Bloomberg 343 00:17:26,400 --> 00:17:30,000 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg Radio, the 344 00:17:30,080 --> 00:17:32,200 Speaker 6: tune in app, Bloomberg dot Com, and the. 345 00:17:32,080 --> 00:17:33,280 Speaker 7: Bloomberg Business app. 346 00:17:33,320 --> 00:17:36,160 Speaker 6: You can also listen live on Amazon Alexa from our 347 00:17:36,160 --> 00:17:41,200 Speaker 6: flagship New York station. Just say Alexa play Bloomberg eleven thirty. 348 00:17:41,840 --> 00:17:45,480 Speaker 1: Let's stop the salad business. I'm not a big salad here. 349 00:17:45,960 --> 00:17:50,000 Speaker 5: I love I love you kind of like salads at lunch, 350 00:17:50,160 --> 00:17:51,720 Speaker 5: which is okay, I think our. 351 00:17:51,640 --> 00:17:54,920 Speaker 1: Next All I know is, you know the people here 352 00:17:55,040 --> 00:17:57,400 Speaker 1: come around lunchtime, they come in and out. They're all 353 00:17:57,400 --> 00:18:00,919 Speaker 1: carrying these bags from Sweet Green, which I guessed at 354 00:18:00,960 --> 00:18:02,720 Speaker 1: the time was a salad thing. Again, not being a 355 00:18:02,760 --> 00:18:06,639 Speaker 1: solid person, I don't know, but it is definitely a 356 00:18:06,680 --> 00:18:09,280 Speaker 1: thing across the street from the Bloomberg HQ here at 357 00:18:09,520 --> 00:18:12,159 Speaker 1: Midtown Manhattan, and I know it is around the country 358 00:18:12,200 --> 00:18:14,399 Speaker 1: as well. Jonathan Neeman joins us. He's the CEO and 359 00:18:14,480 --> 00:18:18,000 Speaker 1: founder of Sweet Green. It's sweet Green trades on New 360 00:18:18,080 --> 00:18:21,199 Speaker 1: York Stock Exchange symbols. SG can put that into your 361 00:18:21,200 --> 00:18:23,840 Speaker 1: Bloomberg terminal. Jonathan, Thanks so much for joining us here. 362 00:18:23,880 --> 00:18:26,119 Speaker 1: I know you guys reported earnings last week, missed a 363 00:18:26,119 --> 00:18:29,840 Speaker 1: little bit on revs and on EPs stock traded down. 364 00:18:30,359 --> 00:18:32,520 Speaker 1: Tell us about the most recent quarter, tell us about 365 00:18:32,520 --> 00:18:34,840 Speaker 1: the guidance you're giving your investors. 366 00:18:35,640 --> 00:18:38,399 Speaker 12: Absolutely, good morning everyone. So we're really proud of the 367 00:18:38,480 --> 00:18:41,040 Speaker 12: quarter we posted. We had twenty two percent year over 368 00:18:41,160 --> 00:18:44,480 Speaker 12: year growth, three percent comps with positive traffic, and we 369 00:18:44,560 --> 00:18:48,359 Speaker 12: expanded our restaurant level margin above twenty percent, delivering our 370 00:18:48,359 --> 00:18:51,719 Speaker 12: first profitable quarter on an adjusted ebad up perspective as 371 00:18:51,720 --> 00:18:54,800 Speaker 12: a public company. So I think a sign of more 372 00:18:54,840 --> 00:18:58,080 Speaker 12: things to come companies focused on discipline, capital efficient growth 373 00:18:58,080 --> 00:19:00,360 Speaker 12: as we continue to bring our mission across the country 374 00:19:00,720 --> 00:19:04,040 Speaker 12: to more cities and more locations, and we're looking forward 375 00:19:04,040 --> 00:19:07,480 Speaker 12: to continuing driving some comp drivers we have around our 376 00:19:07,520 --> 00:19:09,679 Speaker 12: loyalty program as well as our expanded menu. 377 00:19:10,080 --> 00:19:12,359 Speaker 5: Well, Jonathan, you know, Piper Sandler was out today with 378 00:19:12,440 --> 00:19:15,600 Speaker 5: a note talking about how the tide maybe turning here 379 00:19:15,640 --> 00:19:17,880 Speaker 5: a bit for Sweet Green after a tough sledding since 380 00:19:17,920 --> 00:19:22,120 Speaker 5: going public, And I think it's pretty obvious going public 381 00:19:22,880 --> 00:19:26,399 Speaker 5: November twenty twenty one, right post pandemic, then seeing the 382 00:19:26,440 --> 00:19:29,920 Speaker 5: wave of omicron has to be hard for any company 383 00:19:29,960 --> 00:19:33,520 Speaker 5: that does a lot of office business. Do you see 384 00:19:33,520 --> 00:19:37,280 Speaker 5: the tide as turning? What things are you telling investors, Hey, 385 00:19:37,320 --> 00:19:41,960 Speaker 5: wait for this because in a quarter, two quarters, we're 386 00:19:41,960 --> 00:19:44,040 Speaker 5: really going to be able to start delivering on some 387 00:19:44,119 --> 00:19:45,280 Speaker 5: of those expectations. 388 00:19:46,640 --> 00:19:48,840 Speaker 12: Yeah, you know, we're focused. We're focused on a few 389 00:19:48,840 --> 00:19:52,639 Speaker 12: big things. One is continuing to expand our footprint and 390 00:19:52,720 --> 00:19:55,160 Speaker 12: not only opening our classic stores, but a few new 391 00:19:55,160 --> 00:19:57,959 Speaker 12: formats that we've opened that have been really interesting and successful, 392 00:19:58,240 --> 00:20:00,800 Speaker 12: one being our drive through format called the Sweet Lane, 393 00:20:00,880 --> 00:20:03,919 Speaker 12: another being our Infinite Kitchen. We've also been you know, 394 00:20:04,000 --> 00:20:06,080 Speaker 12: I hear you guys talk about, you know, not being 395 00:20:06,119 --> 00:20:08,639 Speaker 12: a salad guy. While Sweegeren started as a salad company, 396 00:20:08,640 --> 00:20:11,119 Speaker 12: we're much more than that today. Really consider ourselves healthy 397 00:20:11,119 --> 00:20:13,760 Speaker 12: comfort food and our warm bowls. We sell more warm 398 00:20:13,800 --> 00:20:16,560 Speaker 12: bowls than we do salads. We're on a journey to 399 00:20:16,640 --> 00:20:19,439 Speaker 12: continue to expand our menu and taking the type of 400 00:20:19,480 --> 00:20:22,399 Speaker 12: sourcing and fresh prep that we do, but expanding it 401 00:20:22,440 --> 00:20:25,720 Speaker 12: beyond just salads and so things with you know, leaning 402 00:20:25,720 --> 00:20:29,919 Speaker 12: on protein and carbs and just heardier craveable items to 403 00:20:30,040 --> 00:20:33,000 Speaker 12: really bring our mission to life. As I mentioned, we've 404 00:20:33,040 --> 00:20:35,720 Speaker 12: also been focused on a loyalty program. We call it 405 00:20:35,760 --> 00:20:38,800 Speaker 12: Sweet Pass. It has two components, both the free rewards 406 00:20:38,800 --> 00:20:41,560 Speaker 12: and challenges, as well as a membership program where for 407 00:20:41,640 --> 00:20:44,440 Speaker 12: ten dollars a month you get three dollars off every day, 408 00:20:44,800 --> 00:20:47,240 Speaker 12: and so a number of comp drivers built into the 409 00:20:47,280 --> 00:20:50,560 Speaker 12: business as we look forward, all while bringing a discipline, 410 00:20:50,600 --> 00:20:53,359 Speaker 12: a you know, a cost discipline approach and making this 411 00:20:53,400 --> 00:20:54,399 Speaker 12: company profitable. 412 00:20:54,760 --> 00:20:57,360 Speaker 5: Yeah, talk to me about Infinite Kitchen. You mentioned this there. 413 00:20:57,440 --> 00:21:00,399 Speaker 5: This is the sort of automated version of your kitchen. 414 00:21:00,800 --> 00:21:04,000 Speaker 5: You've rolled out one of them that I believe and 415 00:21:04,040 --> 00:21:06,720 Speaker 5: correct me if I'm wrong. Here eliminates employees, you know, 416 00:21:06,760 --> 00:21:11,439 Speaker 5: you put together these bulls without employees there. What's your 417 00:21:11,560 --> 00:21:16,680 Speaker 5: vision for the scale of this, for the timeline with 418 00:21:16,720 --> 00:21:19,520 Speaker 5: respect to getting this in more than just kind of 419 00:21:19,720 --> 00:21:21,040 Speaker 5: a handful of stores. 420 00:21:22,760 --> 00:21:22,800 Speaker 3: No. 421 00:21:22,920 --> 00:21:25,720 Speaker 12: Automation is something that I'm personally very excited about, and 422 00:21:25,920 --> 00:21:27,879 Speaker 12: it's something that Sweekering has been working on for a 423 00:21:27,960 --> 00:21:31,080 Speaker 12: number of years, develop you know, developing this technology in house. 424 00:21:31,480 --> 00:21:34,880 Speaker 12: And so what we see is is we believe that 425 00:21:35,359 --> 00:21:38,000 Speaker 12: we will always still make the food in house, but 426 00:21:38,200 --> 00:21:41,399 Speaker 12: with this automation, we're able to assemble the bulls in 427 00:21:41,440 --> 00:21:45,040 Speaker 12: a precise manner at much higher throughputs. So the Infinite 428 00:21:45,119 --> 00:21:47,440 Speaker 12: Kitchen can make four to five hundred bowls per hour, 429 00:21:47,880 --> 00:21:52,439 Speaker 12: perfectly portioned, perfectly accurate, with very high quality, a very 430 00:21:52,520 --> 00:21:55,960 Speaker 12: high quality experience both for our team members and our consumers. 431 00:21:56,000 --> 00:21:58,280 Speaker 12: So people are loving the pilot store that we have. 432 00:21:58,720 --> 00:22:01,719 Speaker 12: We're opening a second Infinite Kitchen restaurant later this year 433 00:22:01,760 --> 00:22:05,240 Speaker 12: in Huntington Beach, California, and have plans to begin integrating 434 00:22:05,240 --> 00:22:09,200 Speaker 12: this technology into restaurants next year. We do believe over time, 435 00:22:09,680 --> 00:22:12,080 Speaker 12: you know, a huge portion of our fleet will integrate 436 00:22:12,160 --> 00:22:14,960 Speaker 12: this technology. But we still have a lot to learn 437 00:22:15,000 --> 00:22:18,040 Speaker 12: in terms of in terms of you know, exactly how 438 00:22:18,040 --> 00:22:20,720 Speaker 12: to deploy it. But all to say, a very promising 439 00:22:20,760 --> 00:22:21,879 Speaker 12: start with this technology. 440 00:22:22,560 --> 00:22:25,880 Speaker 1: John, to talk to me again, not being that familiar 441 00:22:25,920 --> 00:22:28,200 Speaker 1: with your restaurants, although I am going to go today 442 00:22:28,200 --> 00:22:30,160 Speaker 1: for the first time because it's on sixty first Street, 443 00:22:30,200 --> 00:22:33,600 Speaker 1: I think, and Lex, I'll give that a shot. You 444 00:22:33,960 --> 00:22:37,520 Speaker 1: where have you historically located your stores and where are 445 00:22:37,560 --> 00:22:40,640 Speaker 1: you and how has that changed maybe since the pandemic 446 00:22:41,000 --> 00:22:44,040 Speaker 1: in the different way ways people work and the amount 447 00:22:44,040 --> 00:22:45,560 Speaker 1: of time to spend in the office versus home. 448 00:22:46,600 --> 00:22:49,280 Speaker 12: Absolutely so we hope. We started the company in Washington, 449 00:22:49,320 --> 00:22:52,960 Speaker 12: d C. Almost sixteen years to the day. Three kids 450 00:22:53,000 --> 00:22:55,520 Speaker 12: in Georgetown really had nowhere to aid, so we started 451 00:22:55,560 --> 00:22:57,880 Speaker 12: in DC. We worked our way up the Eastern Corridor 452 00:22:58,240 --> 00:23:00,880 Speaker 12: and for the first call it decade of the company's history. 453 00:23:00,920 --> 00:23:04,080 Speaker 12: We're very urban leaning, although you know, we did have 454 00:23:04,320 --> 00:23:07,280 Speaker 12: suburban stores as well. Ever since the pandemic, with the 455 00:23:07,320 --> 00:23:10,520 Speaker 12: dispersion of consumers as well as following our customers home, 456 00:23:11,000 --> 00:23:14,200 Speaker 12: we've begun to explore more suburban and so our pipeline 457 00:23:14,240 --> 00:23:17,520 Speaker 12: has leaned heavily suburban to a number of new markets 458 00:23:17,560 --> 00:23:20,119 Speaker 12: over the past few years, where our fleet today is 459 00:23:20,480 --> 00:23:24,440 Speaker 12: approximately fifty percent urban fifty percent suburban, and we see 460 00:23:24,720 --> 00:23:27,639 Speaker 12: pretty much equal success in both in both worlds, so 461 00:23:27,800 --> 00:23:31,680 Speaker 12: similar av similar margins, which really is you know, talks 462 00:23:31,720 --> 00:23:34,040 Speaker 12: a lot about the portability of the brand not only 463 00:23:34,119 --> 00:23:36,439 Speaker 12: in different type of trade areas, but in different markets 464 00:23:36,440 --> 00:23:37,280 Speaker 12: all over the country. 465 00:23:37,400 --> 00:23:40,639 Speaker 5: Does that capture a different kind of consumer when you 466 00:23:40,680 --> 00:23:45,199 Speaker 5: move outside those typically urban areas. And then also you know, 467 00:23:45,240 --> 00:23:48,760 Speaker 5: with respect to the consumer, are you worried about the 468 00:23:48,840 --> 00:23:54,280 Speaker 5: restart of student loan payments weighing on your customer's wallets. 469 00:23:55,720 --> 00:23:58,520 Speaker 12: So we are expanding, We're continuing to expand our consumer, 470 00:23:58,680 --> 00:24:03,119 Speaker 12: so looking to capture more families, different age groups and 471 00:24:03,160 --> 00:24:06,360 Speaker 12: really be relevant for anyone looking for a craveable, delicious 472 00:24:06,400 --> 00:24:08,879 Speaker 12: and healthy meal. So over time, our vision is to 473 00:24:08,920 --> 00:24:12,080 Speaker 12: redefine fast food and really bring this idea of healthy 474 00:24:12,080 --> 00:24:14,680 Speaker 12: comfort food to scale and kind of see everyone as 475 00:24:14,720 --> 00:24:17,880 Speaker 12: being our consumer over time. In terms of the health 476 00:24:17,880 --> 00:24:20,680 Speaker 12: of the consumer, we see a lot of health in 477 00:24:20,720 --> 00:24:24,600 Speaker 12: our consumer today, we haven't seen any reason to be concerned. 478 00:24:24,600 --> 00:24:27,399 Speaker 12: It is something we're of course watching, understanding the student 479 00:24:27,400 --> 00:24:30,679 Speaker 12: debt repayments, but given the twenty two percent year over 480 00:24:30,760 --> 00:24:33,919 Speaker 12: year growth and the positive comp and positive traffic, we 481 00:24:34,000 --> 00:24:36,679 Speaker 12: are overall feeling very good about the trajectory. 482 00:24:37,280 --> 00:24:39,560 Speaker 1: All right, Jonathan, thanks so much for taking some time 483 00:24:39,640 --> 00:24:42,600 Speaker 1: to chat with this. Jonathan Nieman. He's the CEO and 484 00:24:42,720 --> 00:24:45,800 Speaker 1: co founder of sweet Green. As a publicly traded company. 485 00:24:45,800 --> 00:24:48,520 Speaker 1: You could type in the ticker SG into your Bloomberg 486 00:24:48,600 --> 00:24:51,560 Speaker 1: Professional terminal and get all the day you need on 487 00:24:51,640 --> 00:24:54,720 Speaker 1: that company. I think I'm gonna go there today. It'll 488 00:24:54,760 --> 00:24:55,400 Speaker 1: be my first time. 489 00:24:55,600 --> 00:24:57,800 Speaker 5: Are you gonna as you going there? Going to add 490 00:24:57,800 --> 00:24:59,879 Speaker 5: to the twelve percent gain that we're seeing in this 491 00:25:00,040 --> 00:25:01,480 Speaker 5: shares some sweet Green today. 492 00:25:01,359 --> 00:25:06,960 Speaker 1: Maybe I think Paul eating a salad he like defeats 493 00:25:07,000 --> 00:25:09,040 Speaker 1: the purpose. I think you're right, he's gonna put fried 494 00:25:09,119 --> 00:25:09,719 Speaker 1: chicken in it. 495 00:25:09,760 --> 00:25:10,000 Speaker 7: Etc. 496 00:25:10,880 --> 00:25:12,920 Speaker 1: All right, we'll see how it goes. I'll report back. 497 00:25:14,119 --> 00:25:17,520 Speaker 6: You're listening to the teenth Ken's Are Live program Bloomberg 498 00:25:17,560 --> 00:25:19,920 Speaker 6: Markets weekdays at ten am Eastern. 499 00:25:19,640 --> 00:25:22,680 Speaker 7: On Bloomberg dot com, the iHeartRadio. 500 00:25:21,960 --> 00:25:24,719 Speaker 6: App, and the Bloomberg Business app or listen on demand 501 00:25:24,760 --> 00:25:26,360 Speaker 6: wherever you get your podcasts. 502 00:25:27,920 --> 00:25:31,600 Speaker 1: So let's talk beer, let's talk Heineken, and we do that. 503 00:25:31,640 --> 00:25:34,400 Speaker 1: We talked to Duncan Fox Research Channel, so Bloomberg Intelligence 504 00:25:34,440 --> 00:25:39,800 Speaker 1: you can tell via zoom from the phenomenal Bloomberg European 505 00:25:39,880 --> 00:25:43,359 Speaker 1: headquarters at Queen Victoria Street in London and absolutely phenomenal 506 00:25:43,840 --> 00:25:45,960 Speaker 1: building right in the city of London, right by the 507 00:25:45,960 --> 00:25:48,360 Speaker 1: Bank of England. Thank you very much, Mike. We appreciate 508 00:25:48,600 --> 00:25:51,840 Speaker 1: those digs over there. Duncan talk to us about Heinegen. 509 00:25:51,920 --> 00:25:54,720 Speaker 1: What do we hear from our good friends in Amsterdam. 510 00:25:55,480 --> 00:25:57,640 Speaker 11: It was a little bit of a surprise today actually 511 00:25:57,680 --> 00:26:02,360 Speaker 11: in that they actually don't radio expectations. That's something that 512 00:26:02,800 --> 00:26:06,080 Speaker 11: our friends at Hanegan don't do very often. So they've 513 00:26:06,119 --> 00:26:09,280 Speaker 11: basically been investing a lot more behind their brands, and 514 00:26:09,320 --> 00:26:11,920 Speaker 11: there was a couple of markets which really had had 515 00:26:11,920 --> 00:26:16,160 Speaker 11: some poor volume, mainly Vietnam and Nigeria, and so they've 516 00:26:16,160 --> 00:26:18,679 Speaker 11: decided to keep their investment high in those markets and 517 00:26:18,680 --> 00:26:21,360 Speaker 11: take the hit on operating profit, which from my point 518 00:26:21,359 --> 00:26:23,879 Speaker 11: of view as an analyst for the long term, absolutely the 519 00:26:23,920 --> 00:26:25,280 Speaker 11: right thing to do. But it was a bit of 520 00:26:25,280 --> 00:26:28,840 Speaker 11: a shock this morning at six o'clock, shares a down 521 00:26:28,920 --> 00:26:31,320 Speaker 11: seven percent or so what they were the last song looked. 522 00:26:31,800 --> 00:26:34,000 Speaker 5: Hard to go out despite being in Europe, hard to 523 00:26:34,040 --> 00:26:35,760 Speaker 5: go out and get a beer at six am. I 524 00:26:35,840 --> 00:26:39,720 Speaker 5: think where the earnings come in as a surprise. Talk 525 00:26:39,760 --> 00:26:42,399 Speaker 5: to me about so a lot of this I understand 526 00:26:43,760 --> 00:26:50,920 Speaker 5: is they've invested heavily in these smaller, more local oriented operations. 527 00:26:51,440 --> 00:26:52,359 Speaker 4: But there is. 528 00:26:52,359 --> 00:26:55,800 Speaker 5: Where the consumers are feeling maybe the pinch is it 529 00:26:55,840 --> 00:26:58,920 Speaker 5: because they kind of can't continue to add these price 530 00:26:59,000 --> 00:27:05,480 Speaker 5: increases on as supply prices increase, or explain to me 531 00:27:05,520 --> 00:27:07,840 Speaker 5: how this how they how this bruise down? 532 00:27:09,720 --> 00:27:10,119 Speaker 7: Nice one. 533 00:27:10,200 --> 00:27:13,600 Speaker 11: Yeah, basically they pushed price up about twelve percent on average, 534 00:27:13,600 --> 00:27:16,240 Speaker 11: which is which is pretty high. But you have to 535 00:27:16,240 --> 00:27:20,399 Speaker 11: remember that their their costs went up mid teams in 536 00:27:20,880 --> 00:27:22,800 Speaker 11: Q one, They're going to go up low teams in 537 00:27:22,880 --> 00:27:25,320 Speaker 11: Q two. So what they've done is effectively take the 538 00:27:25,359 --> 00:27:29,240 Speaker 11: pricing up front, and occasionally in some markets they just 539 00:27:29,280 --> 00:27:32,320 Speaker 11: want to be too far as the economies slowed, so 540 00:27:32,400 --> 00:27:35,439 Speaker 11: the consumer has, however much money they've got to spend, 541 00:27:35,520 --> 00:27:39,119 Speaker 11: and beer is not an essentials much as I'd like 542 00:27:39,160 --> 00:27:41,919 Speaker 11: it to be. So you know, they've traded down, i 543 00:27:41,960 --> 00:27:45,840 Speaker 11: think in some markets to cheaper brands, So they've got 544 00:27:45,880 --> 00:27:48,920 Speaker 11: the right long term strategy for sure. You know, they've 545 00:27:48,920 --> 00:27:51,480 Speaker 11: the markets still are mentioned Vietnam and Nigeria. They have 546 00:27:51,680 --> 00:27:55,920 Speaker 11: huge populations, great economic growth in the long term. They've 547 00:27:55,960 --> 00:27:58,280 Speaker 11: just had some short term issues that have that have 548 00:27:58,440 --> 00:28:01,280 Speaker 11: caused them some volume decline in short term. But you know, 549 00:28:02,080 --> 00:28:05,000 Speaker 11: they've taken the decision to look long term, which I 550 00:28:05,000 --> 00:28:07,800 Speaker 11: think is the right decision and sort of take the 551 00:28:07,880 --> 00:28:10,439 Speaker 11: volume sort of the profit hit this year. So it 552 00:28:10,520 --> 00:28:13,360 Speaker 11: makes sense to me. But yeah, right now, so I've 553 00:28:13,359 --> 00:28:14,080 Speaker 11: been expecting that. 554 00:28:14,119 --> 00:28:17,040 Speaker 1: First thing, I'm looking at the pg EO function on 555 00:28:17,080 --> 00:28:19,399 Speaker 1: the Bloomberg terminal that gives you a financial analysis in 556 00:28:19,400 --> 00:28:21,040 Speaker 1: a kind of you can see by segment where these 557 00:28:21,080 --> 00:28:23,680 Speaker 1: guys are and by geography. Forty percent of their revenues 558 00:28:23,680 --> 00:28:26,480 Speaker 1: comes from Europe, you know, about thirty three percent from 559 00:28:26,680 --> 00:28:30,040 Speaker 1: America's and then Asia's the next biggest and then Emea. 560 00:28:30,119 --> 00:28:33,200 Speaker 1: So are they investing in? I guess where are really 561 00:28:33,240 --> 00:28:35,600 Speaker 1: the key growth markets for them that you talk about 562 00:28:35,600 --> 00:28:36,560 Speaker 1: their investment. 563 00:28:38,000 --> 00:28:40,520 Speaker 11: Ironicy Brazil is one that they've pushed quite a lot 564 00:28:40,520 --> 00:28:42,680 Speaker 11: of money into in the last couple of years. They 565 00:28:42,840 --> 00:28:45,440 Speaker 11: bought Kier in this business, probably about four or five 566 00:28:45,520 --> 00:28:49,360 Speaker 11: years ago now, and they've been transferring that to make 567 00:28:49,400 --> 00:28:52,920 Speaker 11: sure they have Amstell and Heineken beer going through that network. 568 00:28:53,280 --> 00:28:56,920 Speaker 11: They're gaining market share, but obviously it's not showing through 569 00:28:56,920 --> 00:29:00,400 Speaker 11: and operating profits. Because of that investment, You've then got 570 00:29:00,560 --> 00:29:05,240 Speaker 11: Mexico's a big market. Vietnam China are the big markets. 571 00:29:05,240 --> 00:29:07,720 Speaker 11: So all of those have got very very big populations, 572 00:29:07,760 --> 00:29:11,960 Speaker 11: with one more importantly been young urban populations, and that's 573 00:29:11,960 --> 00:29:14,880 Speaker 11: what you want as a beer manufacturer. Then you can 574 00:29:14,880 --> 00:29:17,479 Speaker 11: tell your investment to actually get long term growth. So 575 00:29:17,720 --> 00:29:20,640 Speaker 11: say it all makes sense, but every now and again 576 00:29:20,680 --> 00:29:23,640 Speaker 11: you come up with a shock because economic growth has 577 00:29:23,720 --> 00:29:30,040 Speaker 11: slowed down. Vietnam just for some reason, the economy just 578 00:29:30,120 --> 00:29:33,960 Speaker 11: stalled after the Chinese New Year. There was some overstocking 579 00:29:34,000 --> 00:29:36,600 Speaker 11: that they put in place during Chinese Year after pushing 580 00:29:36,640 --> 00:29:40,120 Speaker 11: prices up dramatically. They had forty three percent volume growth 581 00:29:40,120 --> 00:29:43,800 Speaker 11: in Vietnam last year, and I think they were expecting 582 00:29:43,840 --> 00:29:45,800 Speaker 11: something similar and I think they just got caught out 583 00:29:45,800 --> 00:29:47,840 Speaker 11: a little bit when they pushed prices a bit too high. 584 00:29:48,160 --> 00:29:49,960 Speaker 1: Dog Just let's step back and just look at the 585 00:29:49,960 --> 00:29:52,360 Speaker 1: global beer market. You know, when you talk to the 586 00:29:52,360 --> 00:29:55,479 Speaker 1: big brewers that that you cover, how do they think 587 00:29:55,480 --> 00:29:58,120 Speaker 1: about just kind of global growth for this category. 588 00:30:00,760 --> 00:30:05,920 Speaker 11: They would expect something low volume growth, but it's really 589 00:30:05,960 --> 00:30:10,760 Speaker 11: about premiumizing your brand portfolio so you get very good 590 00:30:10,800 --> 00:30:15,400 Speaker 11: pricing and mix. That's where their strategies are. Problem with 591 00:30:15,520 --> 00:30:19,000 Speaker 11: that is when you've got economic growth faltering, you take 592 00:30:19,040 --> 00:30:20,640 Speaker 11: it on the chin in the short term and you've 593 00:30:20,680 --> 00:30:23,200 Speaker 11: just got to keep investing behind those brands to try 594 00:30:23,240 --> 00:30:27,640 Speaker 11: and get us to buy the premium beer. So it's 595 00:30:27,680 --> 00:30:30,240 Speaker 11: all about that, all about getting into the markets where 596 00:30:30,240 --> 00:30:33,480 Speaker 11: you've got younger than populations, so emerging markets, to where 597 00:30:33,480 --> 00:30:35,840 Speaker 11: the growth is going to be, and then making as 598 00:30:35,920 --> 00:30:38,080 Speaker 11: much money as you can from your core home markets, 599 00:30:38,120 --> 00:30:41,040 Speaker 11: which are more likely in developed markets like the US 600 00:30:41,120 --> 00:30:44,800 Speaker 11: or Europe. As you mentioned earlier for Heineken, So Heinekens's 601 00:30:45,120 --> 00:30:49,200 Speaker 11: investment has been getting outside of Europe basically and reducing 602 00:30:49,240 --> 00:30:52,920 Speaker 11: that GEO split to forty percent. It was well over 603 00:30:53,360 --> 00:30:55,640 Speaker 11: it was probably sixty percent of about ten years ago. 604 00:30:55,960 --> 00:30:58,640 Speaker 11: So they've done a very good job at pushing the 605 00:30:58,680 --> 00:31:00,000 Speaker 11: portfolio into the right area. 606 00:31:00,880 --> 00:31:04,480 Speaker 5: Speaking about those core markets in North America and Europe. 607 00:31:05,120 --> 00:31:10,080 Speaker 5: Is the beer drinker or spirits drinker, perhaps more broadly, 608 00:31:10,440 --> 00:31:13,560 Speaker 5: are they healthier in one versus the other? What is 609 00:31:13,600 --> 00:31:16,320 Speaker 5: some of the commentary that you're hearing from these brands 610 00:31:16,320 --> 00:31:18,200 Speaker 5: that span both markets telling you. 611 00:31:20,440 --> 00:31:24,080 Speaker 11: Well? Certainly, up until recently, the spirits market was doing 612 00:31:24,160 --> 00:31:27,720 Speaker 11: very very well. Experiences you probably heard an iconic Debra 613 00:31:27,880 --> 00:31:30,880 Speaker 11: can talk about those very very key for the young 614 00:31:30,880 --> 00:31:34,360 Speaker 11: consumer at the moment, and the spirits companies have been 615 00:31:34,400 --> 00:31:38,280 Speaker 11: extremely good at fueling that. If you look at all 616 00:31:38,320 --> 00:31:40,600 Speaker 11: of the marketing campaigns that the spirit companies do, it's 617 00:31:40,640 --> 00:31:43,720 Speaker 11: around events, so they hire bars and do something around 618 00:31:43,720 --> 00:31:47,720 Speaker 11: the brand, and that's been very very successful. Beer companies 619 00:31:47,720 --> 00:31:50,520 Speaker 11: have yet really to go down that route, though they 620 00:31:50,520 --> 00:31:55,120 Speaker 11: are now putting money into e commerce to make sure 621 00:31:55,160 --> 00:31:57,760 Speaker 11: that it can get more of that spend I suppose, 622 00:31:57,800 --> 00:32:00,640 Speaker 11: and more of the consumers doing it it the beer companies, 623 00:32:00,680 --> 00:32:02,040 Speaker 11: I think you've got to catch up a little bit. 624 00:32:02,480 --> 00:32:04,800 Speaker 11: All in all, they both get a volume growth in 625 00:32:04,840 --> 00:32:07,480 Speaker 11: the sort of low single digit if you strip out 626 00:32:07,600 --> 00:32:10,960 Speaker 11: the COVID anomalies that we've had over the last few years. 627 00:32:11,000 --> 00:32:14,160 Speaker 11: So it's going to be very interesting how the results go. 628 00:32:14,280 --> 00:32:16,320 Speaker 11: The rest of this week and the Agio tomorrow and 629 00:32:16,360 --> 00:32:19,000 Speaker 11: ABI later in the week, and let's see where their 630 00:32:19,080 --> 00:32:23,120 Speaker 11: volume growth are. We know there's been some slight overstocking 631 00:32:23,160 --> 00:32:26,240 Speaker 11: in the trade as we've gone through all that COVID anomalies, 632 00:32:26,320 --> 00:32:28,720 Speaker 11: so it's going to be very interesting set of results. 633 00:32:28,920 --> 00:32:31,920 Speaker 1: So don't get to know your top level analyst. You 634 00:32:32,040 --> 00:32:34,280 Speaker 1: like to do a lot of primary research. So you're 635 00:32:34,320 --> 00:32:37,200 Speaker 1: in your local, your favorite pub in London. What's a 636 00:32:37,280 --> 00:32:40,800 Speaker 1: pint of your favorite beer cost you today? 637 00:32:42,640 --> 00:32:45,800 Speaker 11: Too much would be my response to that. But you're 638 00:32:45,840 --> 00:32:48,680 Speaker 11: looking at probably somewhere around between six and seven pounds 639 00:32:48,680 --> 00:32:53,040 Speaker 11: a pint. It's all sad. Yeah, it's not cheap. My 640 00:32:53,160 --> 00:32:55,320 Speaker 11: favorite pub though, is where I live, and I live 641 00:32:55,360 --> 00:32:59,120 Speaker 11: in Dorset now and it's a little bit better there. 642 00:32:59,120 --> 00:33:02,200 Speaker 11: It's probably around about three fifty a points fifty. Living 643 00:33:02,240 --> 00:33:03,560 Speaker 11: out in the country really. 644 00:33:03,360 --> 00:33:07,000 Speaker 1: Helps very good. All right, Well, you're right down there 645 00:33:07,200 --> 00:33:09,840 Speaker 1: in the city of London where all the big hitters 646 00:33:09,840 --> 00:33:12,080 Speaker 1: are in London, you can afford to pay a little 647 00:33:12,080 --> 00:33:15,600 Speaker 1: bit more. Duncan Fox doing that primary research that he's 648 00:33:15,600 --> 00:33:17,640 Speaker 1: known for. He cuts hover, He covers all the consumer 649 00:33:17,640 --> 00:33:21,200 Speaker 1: products over there in Europe for Bloomberg Intelligence six. 650 00:33:21,080 --> 00:33:23,000 Speaker 5: Seven dollars a pint. I mean when you can when 651 00:33:23,040 --> 00:33:24,160 Speaker 5: you take this dollar. 652 00:33:24,400 --> 00:33:26,720 Speaker 1: Oh yeah, yeah, yeah, it's exactly. I mean I remember 653 00:33:26,760 --> 00:33:28,960 Speaker 1: back when I went to UH. I think this is 654 00:33:29,000 --> 00:33:32,440 Speaker 1: a correct memory putting down a pound coin, which by 655 00:33:32,440 --> 00:33:34,360 Speaker 1: the way, is still the best coin in the plant 656 00:33:34,400 --> 00:33:36,600 Speaker 1: on the planet, the pound coin, the one British pound 657 00:33:37,000 --> 00:33:39,560 Speaker 1: that would get you a beer back in nineteen eighty 658 00:33:39,560 --> 00:33:43,720 Speaker 1: seven in London. So I don't know. So that's inflation. 659 00:33:44,040 --> 00:33:46,480 Speaker 1: That's inflation you can take home with all right. That 660 00:33:46,520 --> 00:33:48,240 Speaker 1: was Duncan Fox talking beer. 661 00:33:48,640 --> 00:33:51,760 Speaker 6: You're listening to the tape. Cat's are live program Bloomberg 662 00:33:51,800 --> 00:33:55,400 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg Radio, the 663 00:33:55,480 --> 00:33:57,400 Speaker 6: tune in app, Bloomberg dot Com, and. 664 00:33:57,400 --> 00:33:58,680 Speaker 7: The Bloomberg Business App. 665 00:33:58,720 --> 00:34:01,560 Speaker 6: You can also listen live on Amazon Alexa from our 666 00:34:01,560 --> 00:34:06,240 Speaker 6: flagship New York station. Just say Alexa play Bloomberg eleven thirty. 667 00:34:07,760 --> 00:34:10,800 Speaker 1: Simone Foxman Paul Swingey here in the Bloomberg Interactive Broker Studio. 668 00:34:10,840 --> 00:34:13,600 Speaker 1: We are streaming live on YouTube. Can head over to 669 00:34:13,680 --> 00:34:16,960 Speaker 1: YouTube and search for Bloomberg the Global News, and that's where 670 00:34:17,000 --> 00:34:20,200 Speaker 1: you'll find this our C Suite conversation. Today we're gonna 671 00:34:20,200 --> 00:34:23,400 Speaker 1: be visit a company we checked in with earlier this 672 00:34:23,440 --> 00:34:26,920 Speaker 1: year is really a fascinating company. Dex Com is the company. 673 00:34:26,960 --> 00:34:30,319 Speaker 1: It's a medical equipment company. DXCM is the ticker. It's 674 00:34:30,320 --> 00:34:33,479 Speaker 1: a fifty billion dollar market cap company. Stocks up about 675 00:34:33,520 --> 00:34:35,560 Speaker 1: ten percent this year, up about fifty percent over the 676 00:34:35,600 --> 00:34:38,839 Speaker 1: trailing twelve twelve month basis, and they're into this thing, 677 00:34:38,960 --> 00:34:44,759 Speaker 1: the Continuous Glucose Monitoring System dc CGM Systems, and it's 678 00:34:44,800 --> 00:34:49,040 Speaker 1: pretty pretty cool stuff. Joining us today is their CEO, 679 00:34:49,160 --> 00:34:52,480 Speaker 1: Kevin Sayer. Joining us. Hey, Kevin, I know you guys recently, 680 00:34:52,560 --> 00:34:55,680 Speaker 1: I guess last week reported some numbers, beat on revenue, 681 00:34:55,680 --> 00:34:58,399 Speaker 1: beat on EPs. Talk to us about the quarter. What's 682 00:34:58,440 --> 00:35:01,080 Speaker 1: the key takeaway there and more importantly, what kind of 683 00:35:01,080 --> 00:35:02,280 Speaker 1: guidance did you give the street? 684 00:35:04,040 --> 00:35:06,080 Speaker 9: Well, thanks for having me on the show today. It 685 00:35:06,160 --> 00:35:09,479 Speaker 9: was a great quarter for us. In fact, I said 686 00:35:09,520 --> 00:35:11,880 Speaker 9: in the earnings remarks, it was like a highlight reel 687 00:35:12,400 --> 00:35:15,680 Speaker 9: with twenty six percent year over year growth, the largest 688 00:35:15,719 --> 00:35:19,760 Speaker 9: dollar growth in the history year over year quarterly basis 689 00:35:19,760 --> 00:35:22,240 Speaker 9: in the history of our company, more new patient ads 690 00:35:22,440 --> 00:35:25,480 Speaker 9: than any quarter in our existence. On top of that, 691 00:35:25,520 --> 00:35:29,799 Speaker 9: we had operating expense leverage that resulted in record net 692 00:35:29,840 --> 00:35:33,879 Speaker 9: income and profitability the factors that drove that. First of all, 693 00:35:33,920 --> 00:35:38,120 Speaker 9: we launched our latest system, our G seven, in the US, 694 00:35:38,120 --> 00:35:42,200 Speaker 9: and that launch has gone extremely well. We've got access 695 00:35:42,360 --> 00:35:45,759 Speaker 9: through all the major PBMs in the country and all 696 00:35:45,840 --> 00:35:49,960 Speaker 9: the insurance plans. We've also launched G seven and thirteen 697 00:35:50,000 --> 00:35:54,160 Speaker 9: international markets. Our international growth was actually forty percent this 698 00:35:54,320 --> 00:35:57,840 Speaker 9: quarter compared you on a year over year basis. The 699 00:35:57,920 --> 00:36:00,520 Speaker 9: G seven launches helped with that. Combined, if we have 700 00:36:00,719 --> 00:36:04,680 Speaker 9: a product portfolio strategy internationally to whereby we have a 701 00:36:04,719 --> 00:36:07,439 Speaker 9: family of products in each of these geographies that best 702 00:36:07,480 --> 00:36:11,719 Speaker 9: meets the access and reimbursement needs of those areas, and 703 00:36:11,760 --> 00:36:14,560 Speaker 9: we've been able to expand our international markets greatly. With 704 00:36:14,600 --> 00:36:17,919 Speaker 9: that bottom line, we took share in pretty much every 705 00:36:17,920 --> 00:36:21,040 Speaker 9: major reimburse market in the world this past quarter, and 706 00:36:21,080 --> 00:36:22,360 Speaker 9: that you see it in the numbers. 707 00:36:22,719 --> 00:36:22,919 Speaker 7: Yeah. 708 00:36:22,960 --> 00:36:25,000 Speaker 5: Can you talk to me about that international strategy a 709 00:36:25,040 --> 00:36:26,840 Speaker 5: little bit further. I know in your earnings call you 710 00:36:26,880 --> 00:36:28,960 Speaker 5: talked a little bit of Germany, a little bit of Friends, 711 00:36:30,200 --> 00:36:33,600 Speaker 5: and you're in thirteen markets. How are you rolling out, 712 00:36:33,640 --> 00:36:36,200 Speaker 5: where are you pushing into next and what are your 713 00:36:36,280 --> 00:36:39,279 Speaker 5: challenges there that are distinct from your challenges in the 714 00:36:39,400 --> 00:36:40,080 Speaker 5: US market. 715 00:36:41,600 --> 00:36:43,920 Speaker 9: With respect to our G seven, we have losched in 716 00:36:43,960 --> 00:36:46,960 Speaker 9: thirteen markets, but we're in several countries around the world. 717 00:36:47,280 --> 00:36:50,319 Speaker 9: The challenges that are different is is who pays for 718 00:36:50,400 --> 00:36:53,000 Speaker 9: it in the various geographies. You know, in the US, 719 00:36:55,239 --> 00:36:57,359 Speaker 9: the majority of our venues have been US for quite 720 00:36:57,360 --> 00:37:00,600 Speaker 9: some time with the insurance companies, but also AMS and 721 00:37:00,640 --> 00:37:05,759 Speaker 9: the medicaid programs. In the outside the US, oftentimes it's 722 00:37:05,840 --> 00:37:10,399 Speaker 9: the government who reimburses for continuous glucose monitoring, and they 723 00:37:10,400 --> 00:37:15,120 Speaker 9: have various standards in their classifications of products. So for example, 724 00:37:15,320 --> 00:37:18,240 Speaker 9: in some countries, they want to pay for a CGM 725 00:37:18,320 --> 00:37:22,080 Speaker 9: that integrates with insulin pumps, has automated insulin delivery and 726 00:37:22,239 --> 00:37:24,200 Speaker 9: reimburse at a higher price for that. 727 00:37:24,480 --> 00:37:26,040 Speaker 7: They'll have a. 728 00:37:26,040 --> 00:37:29,520 Speaker 9: Product that's a different classification that doesn't do as much 729 00:37:30,080 --> 00:37:33,120 Speaker 9: that they want to reimburse less money on a monthly basis. 730 00:37:33,120 --> 00:37:37,120 Speaker 9: For what we've done is we've created classes of products 731 00:37:37,120 --> 00:37:39,880 Speaker 9: that will address all the needs based on the geographies. 732 00:37:40,480 --> 00:37:44,279 Speaker 9: So you know, the UK is a perfect example. They 733 00:37:44,320 --> 00:37:47,000 Speaker 9: have two classes of products. We developed a product called 734 00:37:47,000 --> 00:37:49,920 Speaker 9: dex Com one. There is in this class that's not 735 00:37:50,000 --> 00:37:52,520 Speaker 9: a connected system. Well, it does talk to your phone. 736 00:37:52,520 --> 00:37:55,759 Speaker 9: It doesn't connect with other medical devices, whereas our G 737 00:37:55,960 --> 00:37:58,960 Speaker 9: series or our G seven product will in fact eventually 738 00:37:59,000 --> 00:38:02,239 Speaker 9: connect with an insulin pump or an insulin pen and 739 00:38:02,280 --> 00:38:05,399 Speaker 9: provide patients with an integrated system. So what we've done 740 00:38:05,440 --> 00:38:10,080 Speaker 9: in these geographies we assess the reimbursement strategies to whereby 741 00:38:10,120 --> 00:38:10,760 Speaker 9: we can grow. 742 00:38:11,280 --> 00:38:13,000 Speaker 7: We now offer the product. 743 00:38:12,600 --> 00:38:15,200 Speaker 9: That's best for that geography, or are all the products 744 00:38:15,200 --> 00:38:17,879 Speaker 9: if they'll reimburse for a family of products. And we've 745 00:38:17,920 --> 00:38:20,200 Speaker 9: been able to pick up market share in those geographies 746 00:38:20,200 --> 00:38:21,680 Speaker 9: and we analyze them one by one. 747 00:38:22,760 --> 00:38:24,839 Speaker 1: Well I did some I'll get give you some real 748 00:38:24,840 --> 00:38:26,719 Speaker 1: time feedback. I was on the beach in Jersey Shore 749 00:38:26,719 --> 00:38:28,120 Speaker 1: this weekend. I went up to a person who had 750 00:38:28,120 --> 00:38:31,120 Speaker 1: one of those patches and it looked just like the 751 00:38:31,120 --> 00:38:34,480 Speaker 1: one from Dexcom. And I asked this person about it 752 00:38:34,640 --> 00:38:37,279 Speaker 1: and she said, quote, it changed my life. So how 753 00:38:37,280 --> 00:38:39,279 Speaker 1: about that? I mean, so that's got to be pretty good. 754 00:38:40,440 --> 00:38:43,320 Speaker 9: It is spectacular. And I started to interrupt you, but 755 00:38:43,400 --> 00:38:45,200 Speaker 9: it's the best part of my job when I run 756 00:38:45,239 --> 00:38:49,040 Speaker 9: into one of our users. Literally, it's so great to 757 00:38:49,080 --> 00:38:49,880 Speaker 9: hear their stories. 758 00:38:50,080 --> 00:38:53,120 Speaker 1: Yep, you got some happy campers on the Jersey Shore. 759 00:38:53,120 --> 00:38:56,000 Speaker 1: I want to ask you about kind of the market opportunity. 760 00:38:56,040 --> 00:38:58,240 Speaker 1: I know in twenty twenty four you're thinking about getting 761 00:38:58,320 --> 00:39:00,720 Speaker 1: a CGM product that can be utilized by the twenty 762 00:39:00,719 --> 00:39:03,719 Speaker 1: eight million diabetic patients in the US that do not 763 00:39:04,160 --> 00:39:08,000 Speaker 1: use insulin. What's the status of that role out and development. 764 00:39:09,280 --> 00:39:12,360 Speaker 9: That product is in development right now. We will build 765 00:39:12,360 --> 00:39:16,120 Speaker 9: it around our G seven technology from hardware and an 766 00:39:16,200 --> 00:39:19,640 Speaker 9: accuracy performance perspective, but we want to create a different 767 00:39:19,680 --> 00:39:23,120 Speaker 9: experience for those individuals, an experience that focuses more on 768 00:39:23,480 --> 00:39:27,239 Speaker 9: their lifestyle, on the effects of nutrition, exercise, and things 769 00:39:27,239 --> 00:39:30,640 Speaker 9: that they do taking their medications. You know, somebody who's 770 00:39:30,640 --> 00:39:33,120 Speaker 9: on insulin, this is something that really does change their 771 00:39:33,120 --> 00:39:36,280 Speaker 9: life because they rely on the alerts and the alarms 772 00:39:36,320 --> 00:39:39,359 Speaker 9: and the integration of that product. Somebody would type two 773 00:39:39,400 --> 00:39:41,920 Speaker 9: diabetes not on insulin. What they really need more is 774 00:39:41,960 --> 00:39:45,239 Speaker 9: to understand how their body works and understand their health 775 00:39:45,239 --> 00:39:48,600 Speaker 9: and understand what all the things they can do to 776 00:39:48,719 --> 00:39:51,960 Speaker 9: make them more healthy to keep diabetes from progressing and advancing. 777 00:39:52,600 --> 00:39:55,360 Speaker 9: And we are working on that. We're developing a completely 778 00:39:55,480 --> 00:39:58,640 Speaker 9: new software experience for that product will be based on 779 00:39:58,640 --> 00:40:03,040 Speaker 9: our G seven technology. We will submit that product to 780 00:40:03,080 --> 00:40:04,719 Speaker 9: the FDA before the end of the year, and then 781 00:40:04,760 --> 00:40:06,439 Speaker 9: we hope to launch it in twenty twenty four. 782 00:40:06,840 --> 00:40:09,520 Speaker 5: And do you expect this to get broad coverage from 783 00:40:09,520 --> 00:40:13,080 Speaker 5: insurers as well? Because I think there's probably a group 784 00:40:13,120 --> 00:40:16,000 Speaker 5: of people who want to know about their and don't 785 00:40:16,000 --> 00:40:18,040 Speaker 5: want to know about their health because they need to, 786 00:40:19,080 --> 00:40:22,840 Speaker 5: and others that just want to know. How broad do 787 00:40:22,840 --> 00:40:25,839 Speaker 5: you see the market? And then I guess what's your 788 00:40:25,880 --> 00:40:27,520 Speaker 5: thinking with respect to coverage. 789 00:40:28,520 --> 00:40:30,840 Speaker 9: Out of the gate, we'll have a cash pay option, 790 00:40:31,160 --> 00:40:34,480 Speaker 9: and then we will continue to accumulate data in studies 791 00:40:34,920 --> 00:40:37,279 Speaker 9: to make a case for reimbursement. You know, we've run 792 00:40:37,360 --> 00:40:42,160 Speaker 9: numerous studies in this area. Every time we put patients 793 00:40:42,200 --> 00:40:45,080 Speaker 9: on CGM, they get better outcomes than they had before 794 00:40:45,680 --> 00:40:47,280 Speaker 9: significant ae C drops. 795 00:40:48,520 --> 00:40:49,360 Speaker 7: One of the other. 796 00:40:49,360 --> 00:40:53,400 Speaker 9: Statistics that's measured for people with diabetes is time and range. 797 00:40:53,600 --> 00:40:55,920 Speaker 9: How much time during the day are you in a 798 00:40:55,960 --> 00:40:59,520 Speaker 9: healthy range. We had a seven thousand patient study that 799 00:40:59,560 --> 00:41:03,439 Speaker 9: we talk about at ADA where people experience the forty 800 00:41:03,440 --> 00:41:06,800 Speaker 9: percent improvement in time and range by wearing a CGM 801 00:41:07,040 --> 00:41:09,319 Speaker 9: who are not on inst I have type two diabetes. 802 00:41:09,840 --> 00:41:12,319 Speaker 9: That time and range is what really leads to long 803 00:41:12,440 --> 00:41:15,960 Speaker 9: term and short term better health, and so as we 804 00:41:16,000 --> 00:41:18,920 Speaker 9: will accumulate data like that and ultimately seek reimbursement for 805 00:41:19,000 --> 00:41:20,000 Speaker 9: people in this market. 806 00:41:20,080 --> 00:41:22,239 Speaker 4: Yes, what's the. 807 00:41:22,200 --> 00:41:27,800 Speaker 5: Impact of the rise and interest in GLP one drugs, 808 00:41:27,920 --> 00:41:30,719 Speaker 5: which I know are diabetes drugs, but you know the 809 00:41:30,760 --> 00:41:33,319 Speaker 5: ideas that you can use them for more than just 810 00:41:33,400 --> 00:41:34,280 Speaker 5: diabetes alone. 811 00:41:35,840 --> 00:41:38,520 Speaker 9: We think it's a natural fit for us. In all honesty, 812 00:41:38,600 --> 00:41:42,360 Speaker 9: CGM delivers information you can't get any place else. And 813 00:41:42,800 --> 00:41:45,640 Speaker 9: as I've spoken with physicians who use GLP once and 814 00:41:45,680 --> 00:41:49,879 Speaker 9: CGM combined, what they tell us is these individuals learn 815 00:41:49,920 --> 00:41:52,319 Speaker 9: from the CGM the effect that the change in their 816 00:41:52,360 --> 00:41:55,880 Speaker 9: eating habits brought on by the golp ones. You know 817 00:41:55,920 --> 00:41:58,080 Speaker 9: what it does to their bodies. So they learn from that, 818 00:41:58,440 --> 00:42:01,360 Speaker 9: and so I think can go hand in hand. I 819 00:42:01,400 --> 00:42:04,399 Speaker 9: think in this weight loss environment. Also, for example, I've 820 00:42:04,880 --> 00:42:07,520 Speaker 9: spoke on physicians who put people on golp ones for 821 00:42:07,560 --> 00:42:09,640 Speaker 9: some period of time that if they take them off, 822 00:42:10,480 --> 00:42:12,279 Speaker 9: how do they know what's going on? How do they 823 00:42:12,320 --> 00:42:14,560 Speaker 9: know they haven't reverted back to their old habits. It's 824 00:42:14,680 --> 00:42:17,080 Speaker 9: very simple. You can put them on a CGM and 825 00:42:17,120 --> 00:42:19,520 Speaker 9: they can see what their glucose values do I wonder. 826 00:42:19,320 --> 00:42:21,799 Speaker 5: If that'sable, if a coverable. 827 00:42:21,280 --> 00:42:25,520 Speaker 9: Thing hopefully over time, Yeah, we think it will be. 828 00:42:25,840 --> 00:42:29,239 Speaker 1: Hey, Kevin, just real quick here, thirty seconds left. Give 829 00:42:29,320 --> 00:42:31,560 Speaker 1: us a sense of your competitive environment here both in 830 00:42:31,560 --> 00:42:32,680 Speaker 1: the US and then globally. 831 00:42:34,120 --> 00:42:38,279 Speaker 9: It's a very competitive environment. US and Abbot are the 832 00:42:38,320 --> 00:42:41,799 Speaker 9: two largest companies in the space. But the environment is 833 00:42:41,800 --> 00:42:44,040 Speaker 9: so big, and the need is so on men, and 834 00:42:44,080 --> 00:42:46,440 Speaker 9: the information is so important. Again, you look at our 835 00:42:46,480 --> 00:42:49,840 Speaker 9: growth numbers and the opportunity we have in front of 836 00:42:49,920 --> 00:42:53,680 Speaker 9: us will continue to compete very well. It is a 837 00:42:53,760 --> 00:42:55,640 Speaker 9: great problem. 838 00:42:55,280 --> 00:42:56,200 Speaker 7: To solve for us. 839 00:42:56,440 --> 00:42:59,359 Speaker 1: And is this the opportunity outside the US? Is it 840 00:42:59,480 --> 00:43:02,200 Speaker 1: just depend upon the I guess the development of the 841 00:43:02,239 --> 00:43:03,240 Speaker 1: healthcare system there. 842 00:43:04,080 --> 00:43:07,120 Speaker 9: It very frequently depends upon the reimbursement and the geography 843 00:43:07,480 --> 00:43:09,160 Speaker 9: that we're trying to go to and where we don't 844 00:43:09,160 --> 00:43:12,000 Speaker 9: have reimbursement. One of the things we kicked off this 845 00:43:12,120 --> 00:43:14,440 Speaker 9: year is we do launch cash pay options in those 846 00:43:14,840 --> 00:43:17,480 Speaker 9: countries through an e commerce platform, and a couple of 847 00:43:17,520 --> 00:43:21,440 Speaker 9: times it's already led to the government's changing their position 848 00:43:21,480 --> 00:43:24,400 Speaker 9: on reimbursement and covering our product because they see how 849 00:43:24,440 --> 00:43:27,719 Speaker 9: many people literally rush to the cash option to buy 850 00:43:27,760 --> 00:43:29,000 Speaker 9: it all. 851 00:43:28,920 --> 00:43:31,120 Speaker 1: Right, Kevin, thanks for checking in with us. We appreciate it. 852 00:43:31,200 --> 00:43:34,000 Speaker 1: Kevin Sayer is the CEO of dex Com. 853 00:43:34,280 --> 00:43:35,560 Speaker 7: You're listening to the tape. 854 00:43:35,680 --> 00:43:39,040 Speaker 6: Ken's our live program Bloomberg Markets weekdays at ten am 855 00:43:39,040 --> 00:43:43,200 Speaker 6: Eastern on Bloomberg Radio, the tune in app, Bloomberg dot Com. 856 00:43:42,880 --> 00:43:44,360 Speaker 7: And the Bloomberg Business App. 857 00:43:44,360 --> 00:43:47,200 Speaker 6: You can also listen live on Amazon Alexa from our 858 00:43:47,200 --> 00:43:51,600 Speaker 6: flagship New York station. Just say Alexa play Bloomberg eleven thirty. 859 00:43:53,239 --> 00:43:56,800 Speaker 5: This is Simon and Paul. We've been around all morning 860 00:43:56,920 --> 00:44:00,040 Speaker 5: and we're here for another couple another twenty minutes or so. 861 00:44:00,840 --> 00:44:05,239 Speaker 5: Really interested in our next guest because part because of 862 00:44:05,320 --> 00:44:09,640 Speaker 5: the name, which is Shark Ninja. Mark Rosenswig is CEO 863 00:44:09,680 --> 00:44:12,719 Speaker 5: of Shark Ninja and they just rang the New York 864 00:44:12,719 --> 00:44:16,719 Speaker 5: Stock Exchange bell this morning, publicly traded, and they've been 865 00:44:16,719 --> 00:44:19,600 Speaker 5: through a little bit of an interesting corporate history. So 866 00:44:19,719 --> 00:44:22,680 Speaker 5: this is the maker both of those Shark vacuums and 867 00:44:22,960 --> 00:44:27,680 Speaker 5: Ninja blenders. They were a part of a Hong Kong 868 00:44:27,760 --> 00:44:32,680 Speaker 5: listed company, apropos of our previous conversation, but now they 869 00:44:32,680 --> 00:44:36,919 Speaker 5: have gone public and shares, yeah, through a spin out here. 870 00:44:36,960 --> 00:44:39,680 Speaker 5: So Mark I want to bring you on as well. 871 00:44:40,360 --> 00:44:46,080 Speaker 5: Looks like shares jumping higher in New York after this 872 00:44:46,320 --> 00:44:51,040 Speaker 5: spin off today, talk me through why go it alone? 873 00:44:51,200 --> 00:44:53,560 Speaker 5: Why spin out from JS Global? 874 00:44:55,000 --> 00:44:59,480 Speaker 13: Yeah, well, thanks for having me. Look, Shark Ninja has 875 00:44:59,520 --> 00:45:03,399 Speaker 13: a great story to tell, and we believe that it's 876 00:45:03,840 --> 00:45:06,040 Speaker 13: the right place to tell that story is the New 877 00:45:06,160 --> 00:45:10,560 Speaker 13: York Stock Exchange. Shark Ninja goes to market under two 878 00:45:10,680 --> 00:45:14,360 Speaker 13: really well respected brands, as you mentioned, the Shark brand, 879 00:45:14,360 --> 00:45:18,160 Speaker 13: which is a market leader in cleaning, home, environment and beauty, 880 00:45:18,520 --> 00:45:21,399 Speaker 13: and the Ninja brand, which does just about everything in 881 00:45:21,440 --> 00:45:25,480 Speaker 13: the kitchen and has now gone outside with our outdoor 882 00:45:25,520 --> 00:45:29,680 Speaker 13: cooking appliances. We have a story of scale, nearly four 883 00:45:29,680 --> 00:45:33,520 Speaker 13: billion dollars of revenue. We have a story of profitability. 884 00:45:33,560 --> 00:45:37,640 Speaker 13: The business is highly profitable, and we have a story 885 00:45:37,680 --> 00:45:41,320 Speaker 13: of growth and a demonstrated track record of organic growth. 886 00:45:41,640 --> 00:45:43,600 Speaker 13: You know, we were a business back in two thousand 887 00:45:43,640 --> 00:45:45,840 Speaker 13: and eight that was less than two hundred million dollars 888 00:45:45,880 --> 00:45:49,640 Speaker 13: in revenue. Today nearly four billion. You know, all of 889 00:45:49,680 --> 00:45:52,440 Speaker 13: that has been organic. We've never acquired a dollar of 890 00:45:52,520 --> 00:45:56,520 Speaker 13: revenue in the company's history, and so we really believe 891 00:45:56,600 --> 00:45:58,759 Speaker 13: that you know the right place for us is to 892 00:45:58,800 --> 00:46:01,760 Speaker 13: be a standalone business on the New York Stock Exchange. 893 00:46:01,920 --> 00:46:06,160 Speaker 5: Now, it's my impression you were the largest part of 894 00:46:06,520 --> 00:46:09,400 Speaker 5: js Global or Shark Ninja was the largest part of 895 00:46:09,480 --> 00:46:12,520 Speaker 5: Jazz Global. How did it come about that, you guys 896 00:46:12,840 --> 00:46:13,920 Speaker 5: went your separate ways. 897 00:46:15,800 --> 00:46:20,800 Speaker 13: Well, you know, Shark Ninja was owned by my partner 898 00:46:21,000 --> 00:46:24,760 Speaker 13: Mark and I up until twenty seventeen, when we sold 899 00:46:24,760 --> 00:46:28,040 Speaker 13: a majority stake in the business. We really wanted to 900 00:46:28,080 --> 00:46:31,919 Speaker 13: bring a partner in to help globalize the business. Five 901 00:46:31,960 --> 00:46:34,560 Speaker 13: and a half years later, the business is nearly has 902 00:46:34,640 --> 00:46:36,320 Speaker 13: more than doubled in size. 903 00:46:37,239 --> 00:46:38,080 Speaker 7: You know, we have a. 904 00:46:38,120 --> 00:46:43,560 Speaker 13: Fast approaching billion dollar business outside of North America. You know, 905 00:46:43,680 --> 00:46:47,440 Speaker 13: we you know, our customers, our consumers, you know are 906 00:46:47,480 --> 00:46:49,560 Speaker 13: here in the United States. The United States are the 907 00:46:49,640 --> 00:46:53,840 Speaker 13: largest market for us. We're based in Boston. We have 908 00:46:53,880 --> 00:46:57,280 Speaker 13: a team of almost a thousand folks just outside of Boston. 909 00:46:58,040 --> 00:47:01,520 Speaker 13: And so we really felt like being a subsidiary of 910 00:47:01,560 --> 00:47:04,239 Speaker 13: a Hong Kong listed company wasn't the right place to 911 00:47:04,280 --> 00:47:05,040 Speaker 13: tell the story. 912 00:47:05,920 --> 00:47:08,560 Speaker 1: All right, So for your company, and I'm not familiar 913 00:47:08,600 --> 00:47:10,640 Speaker 1: with your company, I have to admit talk to us 914 00:47:10,640 --> 00:47:14,520 Speaker 1: about kind of your distribution model and kind of how 915 00:47:14,520 --> 00:47:15,200 Speaker 1: that's evolved. 916 00:47:17,040 --> 00:47:19,560 Speaker 13: Yeah, So the distribution model is that, you know, we 917 00:47:19,600 --> 00:47:24,720 Speaker 13: sell to every major retailer in North America, in Europe. 918 00:47:25,600 --> 00:47:27,920 Speaker 13: You know, we have a very strong dot com business. 919 00:47:28,000 --> 00:47:30,799 Speaker 13: Our brands are the most search brands in our categories 920 00:47:30,840 --> 00:47:34,279 Speaker 13: on Amazon, and we have a really healthy direct to 921 00:47:34,320 --> 00:47:39,040 Speaker 13: consumer business. So our distribution model has really been based 922 00:47:39,080 --> 00:47:42,320 Speaker 13: on the idea that we want to be relevant where 923 00:47:42,360 --> 00:47:45,719 Speaker 13: the consumer chooses to shop for our products, if that 924 00:47:45,840 --> 00:47:48,120 Speaker 13: happens to be in a retail store, grade, if it 925 00:47:48,160 --> 00:47:51,719 Speaker 13: happens to be direct to consumer or go online. But 926 00:47:51,800 --> 00:47:54,759 Speaker 13: that really is kind of how the model is not 927 00:47:54,960 --> 00:47:57,600 Speaker 13: just in the US, but really in every market that 928 00:47:57,640 --> 00:47:58,760 Speaker 13: we sell. 929 00:47:58,920 --> 00:48:01,319 Speaker 1: Mark talk to us at the decision to spin off 930 00:48:01,480 --> 00:48:04,600 Speaker 1: as opposed to perhaps an IPO, how did that play out? 931 00:48:06,200 --> 00:48:06,719 Speaker 7: Well? 932 00:48:06,840 --> 00:48:10,759 Speaker 13: When we made the decision to spin out and be 933 00:48:10,920 --> 00:48:13,560 Speaker 13: a publicly listed company, you know, that was going back 934 00:48:13,560 --> 00:48:15,799 Speaker 13: a number of months ago, and at the time, the 935 00:48:15,840 --> 00:48:20,200 Speaker 13: IPO market in the US was quite challenged, and so 936 00:48:20,880 --> 00:48:24,120 Speaker 13: you know, we really wanted certainty to become a US 937 00:48:24,120 --> 00:48:27,000 Speaker 13: public company, and this gave us the most certainty to 938 00:48:27,040 --> 00:48:29,480 Speaker 13: be able to do that. We think we have a 939 00:48:29,480 --> 00:48:34,279 Speaker 13: great story. We think when investors hear the story. You know, 940 00:48:34,360 --> 00:48:37,279 Speaker 13: many of these investors are already consumers of ours. I mean, 941 00:48:37,280 --> 00:48:40,000 Speaker 13: our products are loved you know in in you know, 942 00:48:40,080 --> 00:48:45,319 Speaker 13: millions and millions of homes across America. You know, investors 943 00:48:45,320 --> 00:48:48,320 Speaker 13: will respond and and you know we will become a 944 00:48:48,960 --> 00:48:51,680 Speaker 13: company of interest, you know, for for investors on the 945 00:48:51,680 --> 00:48:52,800 Speaker 13: New York Stock Exchange. 946 00:48:53,960 --> 00:48:57,080 Speaker 5: Talk to me about what you're seeing from consumers at 947 00:48:57,120 --> 00:49:01,520 Speaker 5: the moment. Are you there has been some shift away 948 00:49:01,560 --> 00:49:06,839 Speaker 5: from consumer discretionary products because consumers are feeling a pinch 949 00:49:06,840 --> 00:49:10,080 Speaker 5: in their wallets. Are you seeing that or are you 950 00:49:10,400 --> 00:49:13,960 Speaker 5: seeing consumers switched to different kinds of products. 951 00:49:15,680 --> 00:49:21,040 Speaker 13: Look, I mean we're obviously you know, concern for consumers 952 00:49:21,040 --> 00:49:24,200 Speaker 13: and the inflationary challenges that they've had over the course 953 00:49:24,239 --> 00:49:27,680 Speaker 13: of the last few years. You know, we believe that 954 00:49:27,719 --> 00:49:34,080 Speaker 13: Shark Ninja delivers incredible performance, high quality and reliable products, 955 00:49:34,120 --> 00:49:37,040 Speaker 13: and we do it at an extraordinary value to the consumer. 956 00:49:37,480 --> 00:49:39,839 Speaker 13: We're not the highest priced products in the market, we're 957 00:49:39,840 --> 00:49:42,799 Speaker 13: not the lowest price, but we think that when the 958 00:49:42,840 --> 00:49:46,480 Speaker 13: consumer buys a Sharker Ninja product, they're really, you know, 959 00:49:46,600 --> 00:49:49,959 Speaker 13: getting extraordinary value. And I think that when you read 960 00:49:50,080 --> 00:49:54,280 Speaker 13: consumer reviews of what people write about Shark and Ninja products. 961 00:49:54,360 --> 00:49:57,680 Speaker 13: You'll see that coming through in those reviews. So, you know, 962 00:49:57,719 --> 00:49:59,920 Speaker 13: we're a business that's grown fourteen out of the last 963 00:50:00,160 --> 00:50:03,800 Speaker 13: fifteen years. We have strong growth in our first quarter. 964 00:50:04,840 --> 00:50:08,520 Speaker 13: So we believe that if we can continue to give 965 00:50:08,600 --> 00:50:14,160 Speaker 13: exciting innovation to consumers that solve their problems and continue 966 00:50:14,160 --> 00:50:16,880 Speaker 13: to do it at a great value, that the consumer 967 00:50:16,960 --> 00:50:17,600 Speaker 13: will respond. 968 00:50:18,440 --> 00:50:21,279 Speaker 1: Mark what are the growth drivers over the next year 969 00:50:21,320 --> 00:50:23,160 Speaker 1: to two for you guys? 970 00:50:24,160 --> 00:50:26,840 Speaker 13: So for us, it's the same growth drivers that have 971 00:50:26,880 --> 00:50:29,080 Speaker 13: been really in the business over the last you know, 972 00:50:29,200 --> 00:50:34,800 Speaker 13: eight years. We've developed three strong pillars of organic growth, 973 00:50:34,840 --> 00:50:38,080 Speaker 13: and that's the important word. They're organic, you know. The 974 00:50:38,160 --> 00:50:42,440 Speaker 13: first is, you know, gaining share in the existing categories 975 00:50:42,440 --> 00:50:46,680 Speaker 13: that we participate in. We're in big, definable categories and 976 00:50:46,719 --> 00:50:49,920 Speaker 13: Shark Ninja has a demonstrated track record of being able 977 00:50:49,960 --> 00:50:53,759 Speaker 13: to gain share in those categories. The second is expanding 978 00:50:53,800 --> 00:50:57,960 Speaker 13: into new and adjacent product categories. We've expanded into ten 979 00:50:58,040 --> 00:51:02,120 Speaker 13: new categories just over the last three years. Categories like 980 00:51:02,200 --> 00:51:06,000 Speaker 13: beauty with our Shark Flex style hair dryer, categories like 981 00:51:06,040 --> 00:51:09,799 Speaker 13: outdoor cooking with our Ninja wood fire grill. And the 982 00:51:09,840 --> 00:51:12,839 Speaker 13: third is international expansion. I mentioned earlier that we are 983 00:51:12,920 --> 00:51:16,799 Speaker 13: fast approaching a billion dollars in revenue outside of North America. 984 00:51:17,280 --> 00:51:20,480 Speaker 13: So there's real scale in our international business, but there's 985 00:51:20,520 --> 00:51:24,520 Speaker 13: still tremendous opportunity. I mean, Shark Ninja sells in twenty 986 00:51:24,560 --> 00:51:29,000 Speaker 13: five countries around the world. We sell in twenty seven 987 00:51:29,120 --> 00:51:33,480 Speaker 13: different product categories. We believe that there's more product categories 988 00:51:33,480 --> 00:51:35,839 Speaker 13: for us to enter into, and we believe there's more 989 00:51:35,880 --> 00:51:40,080 Speaker 13: markets for us to expand into. So that's really you know, 990 00:51:40,520 --> 00:51:42,320 Speaker 13: driving those pillars of growth. 991 00:51:42,320 --> 00:51:45,319 Speaker 1: Okay, excellent, Mark, thanks so much for joining us. We 992 00:51:45,360 --> 00:51:49,400 Speaker 1: appreciate it. Mark barakas CEO and president of Shark Ninja. 993 00:51:49,920 --> 00:51:53,040 Speaker 2: Thanks for listening to the Bloomberg Markets podcast. You can 994 00:51:53,040 --> 00:51:56,840 Speaker 2: subscribe and listen to interviews at Apple Podcasts or whatever 995 00:51:56,920 --> 00:52:00,640 Speaker 2: podcast platform you prefer. I'm Matt Miller. I'm on Twitter 996 00:52:00,840 --> 00:52:02,920 Speaker 2: at Matt Miller nineteen seventy three. 997 00:52:03,239 --> 00:52:05,680 Speaker 1: And I'm Faull Sweeney. I'm on Twitter at pt Sweeney. 998 00:52:05,719 --> 00:52:08,360 Speaker 1: Before the podcast, you can always catch us worldwide at 999 00:52:08,400 --> 00:52:09,160 Speaker 1: Bloomberg Radio