1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg P and L Podcast. I'm pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg P M L 6 00:00:20,840 --> 00:00:32,920 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. Well, 7 00:00:32,960 --> 00:00:35,320 Speaker 1: if you wanted like to know how many chicken wings 8 00:00:35,320 --> 00:00:37,720 Speaker 1: are going to be consumed during the Super Bowl weekend, 9 00:00:37,720 --> 00:00:41,199 Speaker 1: look no further than the National Chicken Council's annual report. 10 00:00:41,479 --> 00:00:45,880 Speaker 1: Americans are set to eat one point three three billion 11 00:00:46,000 --> 00:00:51,600 Speaker 1: chicken wings and is actually up to from these numbers, 12 00:00:51,600 --> 00:00:55,360 Speaker 1: of course, for twenties seventeen. One point three billion chicken 13 00:00:55,360 --> 00:00:57,240 Speaker 1: wings is a lot of chicken. In Here to tell 14 00:00:57,320 --> 00:01:00,280 Speaker 1: us how it all happens is Charlie Morrison is the 15 00:01:00,320 --> 00:01:03,080 Speaker 1: chairman and the chief executive of wing Stop and also 16 00:01:03,160 --> 00:01:06,400 Speaker 1: joining us here in studio Stacy Peterson, the chief experience 17 00:01:06,440 --> 00:01:09,759 Speaker 1: officer for Wingstop, and they are in our New York 18 00:01:09,840 --> 00:01:14,000 Speaker 1: studios coming from Dallas. All right, Charlie, one point three 19 00:01:14,440 --> 00:01:19,840 Speaker 1: billion chicken wings that it's a little hard to comprehend, right, Now, 20 00:01:19,880 --> 00:01:22,120 Speaker 1: how did you get into this? You, I know have 21 00:01:22,240 --> 00:01:26,360 Speaker 1: done stints at Boston Market. Pizza was also in your past. 22 00:01:26,760 --> 00:01:29,800 Speaker 1: How did you combine all of this to bring it 23 00:01:29,840 --> 00:01:34,720 Speaker 1: to Wingstop? Well, I was honored with the opportunity to 24 00:01:34,840 --> 00:01:37,759 Speaker 1: lead this brand about six years ago when I started 25 00:01:37,760 --> 00:01:39,479 Speaker 1: with wing Stop, and it's a brand that's been around 26 00:01:39,480 --> 00:01:42,080 Speaker 1: since the mid nineties, was founded in the Dallas Fort 27 00:01:42,080 --> 00:01:46,520 Speaker 1: Worth area where we're headquartered, and we realized what a 28 00:01:46,560 --> 00:01:48,320 Speaker 1: great opportunity we had in front of us. We are 29 00:01:48,480 --> 00:01:51,920 Speaker 1: all about this. Capital came in this. This is right 30 00:01:51,960 --> 00:01:55,360 Speaker 1: when Capital came in and then you joined the because 31 00:01:55,400 --> 00:01:57,360 Speaker 1: they thought you would be good to do this. Yes, 32 00:01:57,440 --> 00:01:59,600 Speaker 1: well that's that they thought, and so far, so good. 33 00:02:00,200 --> 00:02:02,480 Speaker 1: Uh yeah. We so wings as a center of the 34 00:02:02,480 --> 00:02:05,600 Speaker 1: plate item where something was something that was really not 35 00:02:05,920 --> 00:02:09,000 Speaker 1: thought of many years ago. But now you look at 36 00:02:09,040 --> 00:02:10,880 Speaker 1: the success of this brand and the fact that people 37 00:02:10,919 --> 00:02:14,040 Speaker 1: are passionate about wings. It is great for the Super Bowl, 38 00:02:14,120 --> 00:02:17,040 Speaker 1: will sell probably fourteen to fifteen million wings just on 39 00:02:17,120 --> 00:02:20,440 Speaker 1: that day alone. But really it's an occasion item for 40 00:02:20,480 --> 00:02:24,480 Speaker 1: anybody for any eating occasion. What okay, you gave me 41 00:02:24,520 --> 00:02:27,519 Speaker 1: the number of of wings. Can you put that into 42 00:02:27,639 --> 00:02:30,880 Speaker 1: some context in terms of compared to a normal weekend 43 00:02:31,120 --> 00:02:34,640 Speaker 1: or other holidays, that may make that more popular. Sure, 44 00:02:34,760 --> 00:02:37,480 Speaker 1: in some cases we'll do as much business on that 45 00:02:37,600 --> 00:02:40,000 Speaker 1: day as we might do in an entire week on 46 00:02:40,080 --> 00:02:42,519 Speaker 1: average for the chain. So it is our biggest day 47 00:02:42,520 --> 00:02:44,880 Speaker 1: of the year, one of the very big days, uh 48 00:02:44,919 --> 00:02:47,880 Speaker 1: for Wingstop. Wings are the number one consumed item for 49 00:02:47,919 --> 00:02:51,239 Speaker 1: the Super Bowl, and UH we're one of the largest 50 00:02:51,320 --> 00:02:53,880 Speaker 1: chains out there that's providing access to those for our 51 00:02:53,960 --> 00:02:57,200 Speaker 1: for our fans. Stacy Peterson, come in for just a 52 00:02:57,200 --> 00:03:00,400 Speaker 1: second and tell us about the uh the new ways 53 00:03:00,560 --> 00:03:03,440 Speaker 1: in which people can consume their food. One of them 54 00:03:03,680 --> 00:03:08,720 Speaker 1: is using the Alexa voice ordering system. Tell us about 55 00:03:08,800 --> 00:03:11,960 Speaker 1: that venture and how you put that together. That's right. 56 00:03:12,000 --> 00:03:14,280 Speaker 1: Digital ordering has been a focus for us, and last 57 00:03:14,320 --> 00:03:17,320 Speaker 1: year we really tried to extend the convenience to our guests. 58 00:03:17,320 --> 00:03:20,520 Speaker 1: So instead of requiring them to download our app, which 59 00:03:20,639 --> 00:03:23,520 Speaker 1: they can do, we decided to bring ordering to them. 60 00:03:23,560 --> 00:03:27,520 Speaker 1: So if they're on Facebook, Messenger, Twitter, Messenger, Alexa, even 61 00:03:27,520 --> 00:03:30,960 Speaker 1: now GM, on Star Marketplace, they can order ring wings 62 00:03:31,000 --> 00:03:33,800 Speaker 1: directly from the apps or platforms that they choose to 63 00:03:33,919 --> 00:03:36,440 Speaker 1: be on. Okay, but I'm just curious, was there a 64 00:03:37,440 --> 00:03:39,880 Speaker 1: just a little insight into the negotiation, because you know, 65 00:03:39,920 --> 00:03:41,880 Speaker 1: people may be listening and thinking, gee, you know, I 66 00:03:41,960 --> 00:03:44,480 Speaker 1: have a product I'd like to figure out how to 67 00:03:44,920 --> 00:03:49,640 Speaker 1: get included in the Alexa artificial intelligence world. What were 68 00:03:49,680 --> 00:03:52,720 Speaker 1: those conversations like, what were some of the concerns and 69 00:03:52,760 --> 00:03:56,040 Speaker 1: what were some of the challenges. Well, for us, integration 70 00:03:56,080 --> 00:03:58,360 Speaker 1: as a challenge. We want our franchise operators when an 71 00:03:58,440 --> 00:04:01,320 Speaker 1: order comes through any digital channel to look the same, 72 00:04:01,400 --> 00:04:03,960 Speaker 1: feel the same. We don't want them to care where 73 00:04:03,960 --> 00:04:06,920 Speaker 1: it came from. And so integrating that into our point 74 00:04:06,960 --> 00:04:10,480 Speaker 1: of sale where at the restaurant they have a consistent process, 75 00:04:10,600 --> 00:04:13,880 Speaker 1: was really key to us unleashing all of these platforms. 76 00:04:14,000 --> 00:04:17,279 Speaker 1: And is the data that is put together and and 77 00:04:17,520 --> 00:04:20,080 Speaker 1: stored about the customer? I mean, is that data the 78 00:04:20,160 --> 00:04:24,240 Speaker 1: thing can be used for ordering U you know, ordering 79 00:04:24,279 --> 00:04:26,839 Speaker 1: and as well as supply chain operation. That's right, there's 80 00:04:26,839 --> 00:04:29,799 Speaker 1: a lot that we can learn from our customers um 81 00:04:30,000 --> 00:04:32,320 Speaker 1: and understand more of their behavior so that we can 82 00:04:32,360 --> 00:04:35,960 Speaker 1: be more relevant to them. All right, Charlie, the menu 83 00:04:36,240 --> 00:04:39,120 Speaker 1: at the wing stop. I understand that many analysts say 84 00:04:39,160 --> 00:04:42,920 Speaker 1: the fact that it's simple is positive for the company. 85 00:04:42,960 --> 00:04:45,000 Speaker 1: Can you speak to that. I think that's a testament 86 00:04:45,000 --> 00:04:47,839 Speaker 1: to any great restaurant concept is to keep it simple, 87 00:04:48,000 --> 00:04:50,920 Speaker 1: especially in today's focused environment where you have menus that 88 00:04:50,960 --> 00:04:54,360 Speaker 1: are focused on certain products. That's what we love about Wingstop. 89 00:04:54,440 --> 00:04:58,240 Speaker 1: We have chicken wings, fries, and sides that makes up 90 00:04:59,040 --> 00:05:03,280 Speaker 1: what we sell. Since our founding in we started with 91 00:05:03,320 --> 00:05:05,880 Speaker 1: eight flavors and added three over the years. We we 92 00:05:05,960 --> 00:05:09,840 Speaker 1: really innovate, as Stacy talked about, through technology more so 93 00:05:09,880 --> 00:05:12,080 Speaker 1: than we do through flavors and products, and we think 94 00:05:12,120 --> 00:05:14,320 Speaker 1: that's the way restaurants are gonna be well positioned into 95 00:05:14,320 --> 00:05:17,640 Speaker 1: the future. You've also got an initiative outside the United 96 00:05:17,640 --> 00:05:20,680 Speaker 1: States franchising there. Tell us about that. Yeah, we operate 97 00:05:20,720 --> 00:05:23,719 Speaker 1: in nine countries around the world today with signed agreements 98 00:05:23,720 --> 00:05:27,160 Speaker 1: for thirteen total countries, a little over one hundred restaurants 99 00:05:27,200 --> 00:05:30,560 Speaker 1: and growing very rapidly. We believe that this will position 100 00:05:30,600 --> 00:05:33,520 Speaker 1: this brand to be a top ten global brand ultimately 101 00:05:34,240 --> 00:05:37,400 Speaker 1: one day in the future. Because chicken and chicken wings 102 00:05:37,440 --> 00:05:40,479 Speaker 1: are the most consumed protein all around the world. What 103 00:05:40,520 --> 00:05:43,440 Speaker 1: about the cost of the prices, They're pretty comparable now, 104 00:05:43,440 --> 00:05:45,560 Speaker 1: they're pretty comparable. Last year was a tough year in 105 00:05:45,560 --> 00:05:48,719 Speaker 1: the US for chicken wings, the commodity spiked, but outside 106 00:05:48,760 --> 00:05:52,200 Speaker 1: the US very similar economics to what we see here. 107 00:05:52,320 --> 00:05:54,920 Speaker 1: Are we going to get kiosks in more and more 108 00:05:54,920 --> 00:06:00,760 Speaker 1: Wingstop restaurant location? Stacy, Quite possible. We would love to 109 00:06:01,120 --> 00:06:04,680 Speaker 1: um expedite and automate the pickup experience, so along with Chios, 110 00:06:04,800 --> 00:06:07,279 Speaker 1: we could envision a day where you order digitally, You 111 00:06:07,320 --> 00:06:09,799 Speaker 1: get a message sent to you that your order is ready, 112 00:06:09,880 --> 00:06:11,800 Speaker 1: and you pick it up from a locker, get a 113 00:06:11,839 --> 00:06:14,680 Speaker 1: code you scan in, you lock our opens, you take 114 00:06:14,720 --> 00:06:16,599 Speaker 1: your food and go. So we'd like to continue that 115 00:06:16,680 --> 00:06:19,600 Speaker 1: digital experience inside the restaurant. Thanks very much for being 116 00:06:19,680 --> 00:06:22,680 Speaker 1: with us. Stacy Peterson is a chief experience officer and 117 00:06:22,760 --> 00:06:25,479 Speaker 1: Charlie Morrison is the chairman and the chief executive of 118 00:06:25,560 --> 00:06:42,039 Speaker 1: Wingstop Oil. Oil prices down by about a half a 119 00:06:42,080 --> 00:06:44,599 Speaker 1: percent right now on the NI Max w t I 120 00:06:44,720 --> 00:06:47,799 Speaker 1: trades at sixty four dollars and thirteen cents of barrel. 121 00:06:47,960 --> 00:06:50,039 Speaker 1: You're to tell us more about the world of energy. 122 00:06:50,120 --> 00:06:53,680 Speaker 1: Is Javier Blass, our chief energy correspondent for Bloomberg Intelligence, 123 00:06:53,720 --> 00:06:56,679 Speaker 1: and he joins us from London, and you can follow 124 00:06:56,760 --> 00:07:01,320 Speaker 1: Javier on Twitter at Javier Blass two. All right, Javier 125 00:07:01,400 --> 00:07:03,640 Speaker 1: Blast too. Before we get to oil, I just want 126 00:07:03,680 --> 00:07:06,520 Speaker 1: you to maybe speak a little bit about a photo that, 127 00:07:06,680 --> 00:07:10,640 Speaker 1: courtesy of your handiwork, I was able to see on 128 00:07:10,680 --> 00:07:14,880 Speaker 1: Twitter having to do with Davos and the crowd that 129 00:07:15,120 --> 00:07:18,880 Speaker 1: was looking to get into the main hall where President 130 00:07:18,920 --> 00:07:22,400 Speaker 1: Donald Trump eventually gave his speech. Can you just tell 131 00:07:22,480 --> 00:07:24,840 Speaker 1: me a little bit about that. I was hoping that 132 00:07:24,880 --> 00:07:27,480 Speaker 1: you have forgotten about it, not at all. I thought 133 00:07:27,480 --> 00:07:30,920 Speaker 1: that was really something because the crush of people to 134 00:07:31,000 --> 00:07:33,800 Speaker 1: get in, as you described it, I think is sort 135 00:07:33,800 --> 00:07:37,200 Speaker 1: of like a rock concert. Yeah, it was about an 136 00:07:37,200 --> 00:07:39,600 Speaker 1: hour before President Trump was delivering in this speech that 137 00:07:39,840 --> 00:07:43,920 Speaker 1: the word gonna before in double Switzerland. And I have 138 00:07:44,040 --> 00:07:46,400 Speaker 1: been in many doubles meetings, and I have never seen 139 00:07:46,480 --> 00:07:49,640 Speaker 1: that lobby area in front of the Congress Hall where 140 00:07:49,640 --> 00:07:52,880 Speaker 1: all the biggest speeches happened. Uh so pack an hour 141 00:07:53,160 --> 00:07:57,040 Speaker 1: before I speech, and I have seen people like Macron Mercal, 142 00:07:58,320 --> 00:08:00,360 Speaker 1: you know, you don't see that. And and it kind 143 00:08:00,400 --> 00:08:04,320 Speaker 1: of felt almost like a few year backs, as would 144 00:08:04,360 --> 00:08:07,640 Speaker 1: say a couple of decades back, being a teenager and 145 00:08:07,760 --> 00:08:09,760 Speaker 1: going to a rock concert, and you know, all the 146 00:08:09,760 --> 00:08:14,400 Speaker 1: teenagers just being uh together, crashing into the doors. And 147 00:08:14,440 --> 00:08:16,920 Speaker 1: so I tweeted that, you know, it was quite extraordinary 148 00:08:17,000 --> 00:08:20,000 Speaker 1: and I felt like um teenagers going into a concert. 149 00:08:20,000 --> 00:08:22,960 Speaker 1: But the main difference is were CEOs and billionaires sort 150 00:08:22,960 --> 00:08:25,800 Speaker 1: of the most powerful men and woman on the planet 151 00:08:25,800 --> 00:08:27,400 Speaker 1: in the in the world of business. I'm fine, and 152 00:08:27,520 --> 00:08:30,840 Speaker 1: so that was quite something. And to my surprise, I 153 00:08:30,880 --> 00:08:34,640 Speaker 1: was actually sleeping overnight the President trauma. I supposed it 154 00:08:34,679 --> 00:08:39,000 Speaker 1: was on Air Force one. So the tweets somehow and retweeted, 155 00:08:39,320 --> 00:08:42,719 Speaker 1: and then I wake up with about twenty five notifications 156 00:08:42,720 --> 00:08:45,920 Speaker 1: on my Twitter timeline. To my shock, Well, all right, 157 00:08:46,000 --> 00:08:49,200 Speaker 1: so that that you become a sort of a Twitter 158 00:08:49,520 --> 00:08:53,599 Speaker 1: poster a child. You know, every utterance is going to 159 00:08:53,720 --> 00:08:56,200 Speaker 1: be picked over. So be careful here when we talk 160 00:08:56,280 --> 00:08:58,560 Speaker 1: about energy. And maybe we can kind of link this 161 00:08:58,679 --> 00:09:03,040 Speaker 1: to a President Arnold Trump, because one of his h signature, 162 00:09:03,600 --> 00:09:08,760 Speaker 1: uh sort of perspectives is to allow more drilling in 163 00:09:08,800 --> 00:09:14,200 Speaker 1: the Arctic National Wildlife Refuge, to push more drilling off 164 00:09:14,240 --> 00:09:17,199 Speaker 1: the coast of the United States, both the East and 165 00:09:17,480 --> 00:09:21,000 Speaker 1: the West coast. And also he's been a big cheerleader 166 00:09:21,080 --> 00:09:25,800 Speaker 1: for domestic oil production. What is the change in US 167 00:09:25,840 --> 00:09:29,640 Speaker 1: oil production doing to global investments? What what we have 168 00:09:29,679 --> 00:09:32,800 Speaker 1: seen is the US production almost at ten million bars 169 00:09:32,840 --> 00:09:36,720 Speaker 1: a day. That's the highest since nineteen seventy. Actually, US 170 00:09:36,800 --> 00:09:39,400 Speaker 1: production is just within a whisker of that level. It 171 00:09:39,559 --> 00:09:43,000 Speaker 1: was put today by the Energy Information Administration, that's the 172 00:09:43,320 --> 00:09:47,160 Speaker 1: statistical arm of the Department of Energy at nine point 173 00:09:47,400 --> 00:09:50,240 Speaker 1: nine two million bars a day. So it's just gonna 174 00:09:50,240 --> 00:09:52,680 Speaker 1: be ten million bars a day within the next two 175 00:09:52,760 --> 00:09:56,240 Speaker 1: or three weeks. And and that is what is being 176 00:09:56,400 --> 00:10:00,200 Speaker 1: UH distrolled by President Trump of Energy Dominance Act. Only 177 00:10:00,200 --> 00:10:02,800 Speaker 1: President Tim probably has done very little for for achieving 178 00:10:02,840 --> 00:10:05,679 Speaker 1: these ten million barrels a day. The stay is deregulating 179 00:10:05,720 --> 00:10:07,880 Speaker 1: the industry and is lower in taxes, but I would 180 00:10:07,920 --> 00:10:12,360 Speaker 1: not have an impact until probably a few months. For now, 181 00:10:12,440 --> 00:10:15,720 Speaker 1: with the taxation, probably we can see more investment, and 182 00:10:15,760 --> 00:10:19,080 Speaker 1: certainly the the regulation of the sector and allowing UM 183 00:10:19,320 --> 00:10:22,960 Speaker 1: drilling offshore of the United States. That's gonna takes if 184 00:10:23,000 --> 00:10:26,319 Speaker 1: not DKs to increase production of the country. But certainly 185 00:10:26,360 --> 00:10:29,240 Speaker 1: we have seen a big increase in UH production in 186 00:10:29,320 --> 00:10:31,400 Speaker 1: the United States, and that's one of the reasons that 187 00:10:31,440 --> 00:10:34,680 Speaker 1: despite all the efforts but opened by cutting production, we 188 00:10:34,840 --> 00:10:38,080 Speaker 1: still see oil prices really struggling to break new ground. 189 00:10:38,400 --> 00:10:43,200 Speaker 1: And we saw Bram prices that the European benchmark jumping 190 00:10:43,240 --> 00:10:45,959 Speaker 1: about seventy dollars, but that was really short lived because 191 00:10:45,960 --> 00:10:49,000 Speaker 1: people are starting to pay attention that while Opak is 192 00:10:49,000 --> 00:10:52,160 Speaker 1: cutting production on sale, producers in Texas and elsewhere in 193 00:10:52,160 --> 00:10:55,080 Speaker 1: the United States are really ramping output. All right, So 194 00:10:55,240 --> 00:10:57,520 Speaker 1: what does that tell you about a forecast? Is it 195 00:10:57,800 --> 00:11:00,440 Speaker 1: just difficult to predict what I mean? I'm it's always 196 00:11:00,440 --> 00:11:02,960 Speaker 1: difficult to predict with the future price of anything's gonna be. 197 00:11:03,360 --> 00:11:06,520 Speaker 1: But we're gonna get results from Royal Dutch Shell tomorrow 198 00:11:06,920 --> 00:11:10,360 Speaker 1: and we'll also get results from Chevron and Exxon for 199 00:11:10,440 --> 00:11:12,280 Speaker 1: the remainder of the week. What can you tell us 200 00:11:12,280 --> 00:11:14,559 Speaker 1: about the future oil prices? Well, I think that we're 201 00:11:14,559 --> 00:11:16,880 Speaker 1: going to have very good results for for the three 202 00:11:16,880 --> 00:11:19,840 Speaker 1: companies that you mentioned. We have Royal Dutch Shell reporting 203 00:11:20,080 --> 00:11:22,680 Speaker 1: before the opening of the market tomorrow morning here in London, 204 00:11:22,960 --> 00:11:26,560 Speaker 1: and we have Excellent and Chevron doing likewise before the 205 00:11:26,559 --> 00:11:29,240 Speaker 1: opening of the market in New York on Friday. Uh 206 00:11:29,559 --> 00:11:31,400 Speaker 1: Q force would be a good month for all the 207 00:11:31,400 --> 00:11:35,000 Speaker 1: oil companies. Prices where up. We have good production number 208 00:11:35,040 --> 00:11:38,040 Speaker 1: from everyone, so I'm expecting that probably where on a 209 00:11:38,120 --> 00:11:42,080 Speaker 1: quarterly basis, probably we're gonna see the strongest quarter since 210 00:11:42,120 --> 00:11:45,440 Speaker 1: at least meet two thousand and fourteen in terms of 211 00:11:45,480 --> 00:11:48,559 Speaker 1: oil prices. For two thousand and eighteen, clearly we're seeing 212 00:11:48,559 --> 00:11:52,320 Speaker 1: a big push towards the upside from opeque production cuts 213 00:11:52,640 --> 00:11:55,040 Speaker 1: led by Saudi Arabia with his cutting even more than 214 00:11:55,840 --> 00:11:57,880 Speaker 1: he said that he was gonna do. But at the 215 00:11:57,920 --> 00:12:00,400 Speaker 1: same time, we're gonna have a ceiling from the ushil 216 00:12:00,480 --> 00:12:04,040 Speaker 1: producers which they're gonna really pump a lot more oil 217 00:12:04,080 --> 00:12:06,959 Speaker 1: that probably the market was expecting only two or three 218 00:12:07,000 --> 00:12:09,400 Speaker 1: or four months ago. So probably what we're gonna see 219 00:12:09,480 --> 00:12:12,400 Speaker 1: prices in a in a very narrow range, probably with 220 00:12:12,440 --> 00:12:16,400 Speaker 1: a sixty dollar floor because of open production cards. But 221 00:12:16,960 --> 00:12:19,640 Speaker 1: any any time that we go about seventy maybe seventy 222 00:12:19,679 --> 00:12:22,439 Speaker 1: five dollars for brain, we're gonna see a huge incentive 223 00:12:22,720 --> 00:12:25,960 Speaker 1: for US producer producers to to to pump more, and 224 00:12:26,040 --> 00:12:28,679 Speaker 1: uncertainly the price will be capped there. Thank you very 225 00:12:28,760 --> 00:12:30,920 Speaker 1: much for being with us. Javier Blast is our chief 226 00:12:31,040 --> 00:12:35,280 Speaker 1: energy correspondent for Bloomberg Intelligence. You can follow him on 227 00:12:35,320 --> 00:12:38,880 Speaker 1: Twitter at Javier Blast two, and you can also check 228 00:12:38,920 --> 00:12:42,559 Speaker 1: out his photographs from his attendance at the Dollar's World 229 00:12:42,679 --> 00:12:48,199 Speaker 1: Economic form last week. Interesting photographs and some images of 230 00:12:48,280 --> 00:12:51,720 Speaker 1: the excitement that was generated by the arrival and the 231 00:12:51,800 --> 00:13:09,960 Speaker 1: speech of President Donald Trump. Well, if you're thinking about 232 00:13:10,000 --> 00:13:13,760 Speaker 1: purchasing an automobile or a vehicle, chances are you should 233 00:13:13,800 --> 00:13:16,160 Speaker 1: place a call to Scott Painter. He is the founder 234 00:13:16,240 --> 00:13:19,480 Speaker 1: of Fair, but he's also the former founder of True Car, 235 00:13:19,559 --> 00:13:23,800 Speaker 1: and he has a history in the automobile industry as 236 00:13:24,120 --> 00:13:28,000 Speaker 1: a disruptor, and he joins us now from Santa Monica. Scott, 237 00:13:28,040 --> 00:13:30,160 Speaker 1: thank you very much for being with us. Maybe just 238 00:13:30,200 --> 00:13:32,880 Speaker 1: give people a little bit of your the short bio, 239 00:13:33,160 --> 00:13:37,560 Speaker 1: because you've been doing this since you were in school. Well, 240 00:13:37,600 --> 00:13:42,280 Speaker 1: I've definitely been focused on trying to improve the way 241 00:13:42,320 --> 00:13:46,240 Speaker 1: that we all buy in Shop four and ultimately owned cars. 242 00:13:48,080 --> 00:13:50,960 Speaker 1: So what we've created, it Fair, is an app that 243 00:13:51,000 --> 00:13:54,880 Speaker 1: represents a totally new way to get a car. It's digital, 244 00:13:55,480 --> 00:13:58,200 Speaker 1: it's all on your phone, it's completely flexible, and that 245 00:13:58,360 --> 00:14:01,760 Speaker 1: customers can actually see the car they want and walk 246 00:14:01,800 --> 00:14:05,720 Speaker 1: away without a commitment to a long term purchase decision 247 00:14:05,880 --> 00:14:09,280 Speaker 1: or ownership contract, and it's designed to be simple. What 248 00:14:09,440 --> 00:14:12,240 Speaker 1: we offer is an all in monthly payment that provides 249 00:14:12,320 --> 00:14:17,840 Speaker 1: the car a warranty, roadside assistance, standard maintenance, and we 250 00:14:17,920 --> 00:14:21,120 Speaker 1: even now offer month to month auto insurance. So it's 251 00:14:21,240 --> 00:14:23,200 Speaker 1: designed to be sort of like an iTunes account for 252 00:14:23,240 --> 00:14:26,200 Speaker 1: your car. Is it similar to a long term rental 253 00:14:26,360 --> 00:14:29,600 Speaker 1: or even a short term rental for an automobile? Yeah, 254 00:14:29,640 --> 00:14:32,000 Speaker 1: it's not a rental agreement, it's not a lease. It 255 00:14:32,120 --> 00:14:34,800 Speaker 1: was created with a deep understanding of how both work. 256 00:14:35,200 --> 00:14:39,680 Speaker 1: It is an entirely new type of contract. It's really um. 257 00:14:39,760 --> 00:14:45,000 Speaker 1: It represents a new way to get access to mobility. Um. 258 00:14:45,040 --> 00:14:51,080 Speaker 1: It's clear that modern customers want simplicity, savings and flexibility, alright, 259 00:14:51,080 --> 00:14:54,920 Speaker 1: But having having that in mind, what can you walk 260 00:14:55,000 --> 00:14:58,200 Speaker 1: us through what exactly happens? Because you mentioned that are 261 00:14:58,360 --> 00:15:00,720 Speaker 1: you've got an app on your phone you'd like to 262 00:15:00,840 --> 00:15:04,240 Speaker 1: drive from where you are a Santa Monica. I don't 263 00:15:04,240 --> 00:15:08,760 Speaker 1: know to uh, San Diego? What happens when you pick 264 00:15:08,840 --> 00:15:11,480 Speaker 1: up your phone? Sure, the way that the app works 265 00:15:11,560 --> 00:15:13,360 Speaker 1: is as soon as you download the app, it does 266 00:15:13,480 --> 00:15:16,560 Speaker 1: ask you to scan your driver's license because you're going 267 00:15:16,600 --> 00:15:19,840 Speaker 1: to be driving our vehicle and you need to be 268 00:15:19,880 --> 00:15:24,400 Speaker 1: a registered legal driver, and so we're looking to actually 269 00:15:24,520 --> 00:15:28,200 Speaker 1: validate your driver's license. We're also looking for ability to repay, 270 00:15:28,320 --> 00:15:30,920 Speaker 1: So unlike a car loan or at lease where you 271 00:15:30,920 --> 00:15:33,680 Speaker 1: actually have to have good credit or a long payment history. 272 00:15:34,000 --> 00:15:36,400 Speaker 1: As long as we can detect that you have the 273 00:15:36,480 --> 00:15:40,160 Speaker 1: ability to repay or to afford the car, we go 274 00:15:40,200 --> 00:15:43,320 Speaker 1: ahead and digitally link you either to your bank account 275 00:15:43,440 --> 00:15:46,240 Speaker 1: or a credit card, and then you begin to subscribe 276 00:15:46,240 --> 00:15:49,200 Speaker 1: effectively to that car. And so you're shopping from cars 277 00:15:49,200 --> 00:15:52,440 Speaker 1: that are all for sale at local dealers, and we're 278 00:15:52,480 --> 00:15:55,240 Speaker 1: simply a better way to get that car. And we're 279 00:15:55,240 --> 00:15:58,520 Speaker 1: an alternative to traditional financing in the sense that we 280 00:15:58,600 --> 00:16:02,120 Speaker 1: are not lend you money. We're just giving you access 281 00:16:02,120 --> 00:16:04,440 Speaker 1: to the car that you want. Once you select the 282 00:16:04,520 --> 00:16:07,560 Speaker 1: vehicle inside the app, you can either have that vehicle 283 00:16:07,600 --> 00:16:09,600 Speaker 1: brought to you or you can pick it up at 284 00:16:09,600 --> 00:16:13,800 Speaker 1: your local dealership. But the entire process happens digitally in 285 00:16:13,840 --> 00:16:16,160 Speaker 1: the app. In fact, you even signed the agreement with 286 00:16:16,200 --> 00:16:19,080 Speaker 1: your finger. There's no negotiating with a dealer or no 287 00:16:19,200 --> 00:16:23,240 Speaker 1: back and forth or confrontation. We effectively buy the car 288 00:16:23,720 --> 00:16:28,680 Speaker 1: and simultaneously provided to you through that new agreement. What 289 00:16:28,840 --> 00:16:31,240 Speaker 1: is what is your venture with Uber? How is that 290 00:16:31,280 --> 00:16:35,440 Speaker 1: tied together? Well, what we're announcing today is that we 291 00:16:35,480 --> 00:16:40,800 Speaker 1: have completed the acquisition of Uber's exchange leasing portfolio and 292 00:16:41,000 --> 00:16:44,680 Speaker 1: entered into an exclusive partnership with Uber on a national basis. 293 00:16:44,920 --> 00:16:47,600 Speaker 1: And it turns out that Uber drivers are just like 294 00:16:47,720 --> 00:16:52,880 Speaker 1: modern consumers. They also want the same simplicity, savings and flexibility, 295 00:16:53,040 --> 00:16:56,360 Speaker 1: and so we provide Uber the technology so that if 296 00:16:56,400 --> 00:16:58,760 Speaker 1: you're an Uber driver and you download the Uber app 297 00:16:58,880 --> 00:17:01,840 Speaker 1: and you indicate that you don't have a vehicle, that's 298 00:17:01,880 --> 00:17:06,000 Speaker 1: when you'll be introduced to Fair going forward. But Uber 299 00:17:06,080 --> 00:17:08,640 Speaker 1: has a community of drivers that they have been supporting 300 00:17:08,640 --> 00:17:11,600 Speaker 1: for the last two or three years with a leasing 301 00:17:12,119 --> 00:17:16,040 Speaker 1: program that allows drivers to get into these vehicles, and 302 00:17:16,119 --> 00:17:18,920 Speaker 1: we have acquired that entire business from Uber and we're 303 00:17:18,960 --> 00:17:22,080 Speaker 1: now their go forward partner to provide those drivers with 304 00:17:22,119 --> 00:17:25,600 Speaker 1: that flexible option. And it really is about an extension 305 00:17:25,640 --> 00:17:28,760 Speaker 1: of their commitment to their driver community, and it allows 306 00:17:29,200 --> 00:17:31,760 Speaker 1: Uber to be focused on its core competency, which is 307 00:17:31,800 --> 00:17:36,159 Speaker 1: growing ridesharing, and it allows Fair and the expert on 308 00:17:36,200 --> 00:17:38,560 Speaker 1: our team to focus on our core competency, which is 309 00:17:38,600 --> 00:17:42,439 Speaker 1: really providing these kind of flexible ownership options through a 310 00:17:42,560 --> 00:17:48,000 Speaker 1: totally digital platform. Scott, how much does this cost? Well? Traditionally, 311 00:17:48,320 --> 00:17:51,439 Speaker 1: Uber drivers today are either renting or leasing vehicles. This 312 00:17:51,560 --> 00:17:56,080 Speaker 1: represents about a fifty savings over a traditional rental. Now 313 00:17:56,119 --> 00:18:00,280 Speaker 1: that's if you're if you're an uber driver. Well that 314 00:18:00,480 --> 00:18:03,120 Speaker 1: whether you're an Uber driver renting a car, or whether 315 00:18:03,160 --> 00:18:05,040 Speaker 1: you're a consumer renting a car. Okay, all right, I 316 00:18:05,080 --> 00:18:07,200 Speaker 1: just wanted to make it make that clear. So for example, 317 00:18:07,280 --> 00:18:09,879 Speaker 1: let's say you wanted to drive from Santa Santa Monica 318 00:18:09,920 --> 00:18:12,720 Speaker 1: down to San Diego. What does it cost to actually 319 00:18:13,440 --> 00:18:17,640 Speaker 1: complete this transaction just quickly? Well, so our cars are 320 00:18:17,640 --> 00:18:21,439 Speaker 1: really for longer term use. So we're really building the 321 00:18:21,440 --> 00:18:23,680 Speaker 1: product so that consumers can keep the car for as 322 00:18:23,720 --> 00:18:25,480 Speaker 1: long or as little bit. Okay, let's say you wanted 323 00:18:25,520 --> 00:18:28,280 Speaker 1: it four months. Just give me a figure. Yeah, so 324 00:18:28,400 --> 00:18:30,280 Speaker 1: it would be about half the cost of a rental. 325 00:18:30,320 --> 00:18:32,320 Speaker 1: So traditionally, if you were going to rent a car 326 00:18:32,359 --> 00:18:34,040 Speaker 1: for a month that you were going to use for 327 00:18:34,160 --> 00:18:37,080 Speaker 1: right sharing, there might be a hundred and fifty dollars 328 00:18:37,119 --> 00:18:40,199 Speaker 1: a week, so maybe four a month. This is going 329 00:18:40,240 --> 00:18:42,600 Speaker 1: to be half of that. And we got to leave 330 00:18:42,640 --> 00:18:45,240 Speaker 1: it there. We got to leave it there. Scott Painter, 331 00:18:45,359 --> 00:18:47,560 Speaker 1: thank you very much. He is the founder of Fair. 332 00:18:47,960 --> 00:19:04,680 Speaker 1: They're based in Santa Monica. Well, coming up today, we've 333 00:19:04,680 --> 00:19:08,359 Speaker 1: got the results from Facebook as well as Microsoft. Tomorrow 334 00:19:08,400 --> 00:19:11,720 Speaker 1: will be getting earnings from Apple and Alphabet as well 335 00:19:11,760 --> 00:19:14,040 Speaker 1: as Amazon. And here to help us understand what we 336 00:19:14,040 --> 00:19:17,200 Speaker 1: can expect is Michael Scanlon. He his portfolio manager for 337 00:19:17,320 --> 00:19:21,000 Speaker 1: Manu Life Asset Management. He's based in Boston, home to 338 00:19:21,000 --> 00:19:24,439 Speaker 1: Bloomberg one oh six one Boston, Newburyport and thirty in 339 00:19:24,520 --> 00:19:27,879 Speaker 1: Metro West and the South Shore. Michael, great to have 340 00:19:27,920 --> 00:19:30,520 Speaker 1: you with us. Let's begin with Facebook if we can. 341 00:19:30,600 --> 00:19:33,159 Speaker 1: This is a company that at least an annual terms, 342 00:19:33,600 --> 00:19:37,600 Speaker 1: is doing thirty six billion in revenue and putting fifteen 343 00:19:37,600 --> 00:19:41,080 Speaker 1: billion dollars in its pocket. That's the net income. Tell 344 00:19:41,160 --> 00:19:45,120 Speaker 1: us what you look for from Facebook? Well, good morning 345 00:19:45,160 --> 00:19:47,359 Speaker 1: and thanks for having me. I think with Facebook, you 346 00:19:47,359 --> 00:19:50,679 Speaker 1: know expectations that results are going to be strong again tonight. 347 00:19:50,760 --> 00:19:53,320 Speaker 1: I think probably more of the focus will actually be 348 00:19:53,440 --> 00:19:56,600 Speaker 1: on the commentary that's given on the call, just in 349 00:19:56,720 --> 00:19:58,880 Speaker 1: light of some of the announcements they made a couple 350 00:19:58,880 --> 00:20:02,439 Speaker 1: of weeks back in terms of de emphasizing third party 351 00:20:02,640 --> 00:20:06,480 Speaker 1: in more emphasizing people's personal network of posts. Well, this 352 00:20:06,520 --> 00:20:09,200 Speaker 1: will be what to get them to stay more frequently 353 00:20:09,320 --> 00:20:11,479 Speaker 1: is to have a longer period of time that they 354 00:20:11,480 --> 00:20:15,360 Speaker 1: would stay on Facebook, and also to blunt the criticism 355 00:20:15,400 --> 00:20:19,280 Speaker 1: having to do with news and information that is perhaps 356 00:20:19,320 --> 00:20:23,520 Speaker 1: not the real or is not backed by anyone who 357 00:20:23,560 --> 00:20:28,960 Speaker 1: actually knows anything about the topics they're they're posting about exactly. Yeah. 358 00:20:29,000 --> 00:20:31,080 Speaker 1: So you know, the argument here is if if you're 359 00:20:31,080 --> 00:20:33,320 Speaker 1: in the bull camp on Facebook, which we own the 360 00:20:33,359 --> 00:20:36,600 Speaker 1: stock and the John Hancock Balance Fund, is that the 361 00:20:37,000 --> 00:20:40,200 Speaker 1: any decline in terms of just adload that you're seeing 362 00:20:40,200 --> 00:20:43,240 Speaker 1: on there will be offset by positive pricing. And you know, 363 00:20:43,240 --> 00:20:45,119 Speaker 1: if they're reducing the amount of space that they have 364 00:20:45,119 --> 00:20:48,119 Speaker 1: available to advertisers, that ultimately the price of that advertising 365 00:20:48,160 --> 00:20:51,960 Speaker 1: should increase in opted any decline in terms of growth 366 00:20:51,960 --> 00:20:55,200 Speaker 1: and adlade. Okay, alright, so that's Facebook. Turn your attention 367 00:20:55,240 --> 00:20:58,119 Speaker 1: now to Microsoft. They were talking about a one billion 368 00:20:58,200 --> 00:21:03,360 Speaker 1: dollar revenue company. They do twenty six billion dollars in profit. 369 00:21:03,440 --> 00:21:07,800 Speaker 1: What are you looking for with Microsoft? With Microsoft, the 370 00:21:07,840 --> 00:21:10,840 Speaker 1: focus continues to be on this transition, which you know 371 00:21:10,960 --> 00:21:15,520 Speaker 1: really gains steam. One. Sofia Nadela came into power Microsoft, 372 00:21:15,560 --> 00:21:18,320 Speaker 1: taking over the ce role CEO role from Steve Balmer 373 00:21:18,800 --> 00:21:20,960 Speaker 1: uh in that you know, it's this whole transition of 374 00:21:21,000 --> 00:21:24,160 Speaker 1: the cloud. Right. Their commercial cloud business is outperformed every 375 00:21:24,160 --> 00:21:27,520 Speaker 1: metric that the company has laid out that the analyst 376 00:21:27,560 --> 00:21:30,119 Speaker 1: community was expecting, and it continues to be on a 377 00:21:30,160 --> 00:21:33,159 Speaker 1: really strong growth trajectory. So I think people will be 378 00:21:33,240 --> 00:21:35,920 Speaker 1: continued to focus on what the revenue growth trajectory looks 379 00:21:35,960 --> 00:21:37,960 Speaker 1: like there and just with a margin profile and the 380 00:21:37,960 --> 00:21:40,399 Speaker 1: commercial cloud business looks like. Do you think that there 381 00:21:40,400 --> 00:21:43,000 Speaker 1: will be any interest in an increase in the dividend. 382 00:21:43,000 --> 00:21:48,840 Speaker 1: The dividend now is about one Microsoft, so not as 383 00:21:48,960 --> 00:21:52,720 Speaker 1: much focused on the dividend, you know, with this tax 384 00:21:52,760 --> 00:21:55,960 Speaker 1: reform package that we're getting in, obviously, Microsoft and a 385 00:21:56,000 --> 00:21:57,879 Speaker 1: lot of the other big cap tech names which you 386 00:21:57,880 --> 00:22:01,080 Speaker 1: mentioned in the introduction are primary beneficiaries here where it's 387 00:22:01,080 --> 00:22:02,439 Speaker 1: going to free up a lot of cash that they 388 00:22:02,440 --> 00:22:05,199 Speaker 1: can put to work. So with Microsoft, there is some 389 00:22:05,280 --> 00:22:09,720 Speaker 1: expectation that they will increase the repurchase authorization or the 390 00:22:09,760 --> 00:22:12,000 Speaker 1: regular amount of buy back that they've been doing, which 391 00:22:12,000 --> 00:22:14,520 Speaker 1: will will be a nice incremental tail one for the stock. 392 00:22:14,720 --> 00:22:17,000 Speaker 1: All right, Well, the shares of Microsoft right now, they're 393 00:22:17,080 --> 00:22:20,040 Speaker 1: up at dollar four. The stock has gained nearly ten 394 00:22:20,640 --> 00:22:24,040 Speaker 1: so far this year, all right, look forward to tomorrow. 395 00:22:24,400 --> 00:22:26,800 Speaker 1: Would you like to begin with Apple, the iPhone maker, 396 00:22:26,840 --> 00:22:31,440 Speaker 1: because they'll be reporting their results tomorrow. So surprisingly, you know, 397 00:22:31,440 --> 00:22:33,639 Speaker 1: the last handful of weeks here, there have been some 398 00:22:33,800 --> 00:22:36,800 Speaker 1: negative supply chain data points that have been coming out 399 00:22:36,840 --> 00:22:42,840 Speaker 1: in commentaries around iPhone X builds. Apple's stock is underperformed 400 00:22:42,840 --> 00:22:45,880 Speaker 1: tech more recently. You know, it continues to be very 401 00:22:45,960 --> 00:22:50,360 Speaker 1: attractively valued. They they're obviously investing a lot with the 402 00:22:50,480 --> 00:22:53,080 Speaker 1: data that with the release they put out after the 403 00:22:53,119 --> 00:22:56,919 Speaker 1: tax reform package. But from a total return perspective, you know, 404 00:22:56,960 --> 00:22:59,640 Speaker 1: you're getting a very nice buy back in thirty five 405 00:22:59,680 --> 00:23:02,439 Speaker 1: plus billion a year plus the dividends, so you're kind 406 00:23:02,440 --> 00:23:05,239 Speaker 1: of getting a six percent type capital return before they 407 00:23:05,240 --> 00:23:08,119 Speaker 1: grow their net income or the multiple gets rerated higher. 408 00:23:08,280 --> 00:23:11,400 Speaker 1: So we still like Apple in the portfolio. Um, and 409 00:23:11,520 --> 00:23:13,679 Speaker 1: you know, again the commentary will be interesting with some 410 00:23:13,760 --> 00:23:17,040 Speaker 1: of these negative data points. Indeed, Apple shares down about 411 00:23:17,119 --> 00:23:20,200 Speaker 1: one percent in the month of January. And just to note, 412 00:23:20,200 --> 00:23:23,040 Speaker 1: here's the scale, right, two hundred and twenty nine billion 413 00:23:23,119 --> 00:23:27,080 Speaker 1: dollars in sales, and they may have a profit of 414 00:23:27,200 --> 00:23:31,080 Speaker 1: forty eight billion, and they sell hardware. That's a kind 415 00:23:31,080 --> 00:23:33,960 Speaker 1: of amazing as the Yeah, and not only that, you 416 00:23:34,000 --> 00:23:36,159 Speaker 1: look at the stock price or so the stocks at 417 00:23:36,160 --> 00:23:38,520 Speaker 1: about a hundred and sixty six dollars on a net 418 00:23:38,560 --> 00:23:41,200 Speaker 1: cash basis, they have just under thirty dollars per share 419 00:23:41,200 --> 00:23:44,439 Speaker 1: and net cash. So this stock trades at a you know, 420 00:23:44,760 --> 00:23:47,040 Speaker 1: four point five point discount to the S and P 421 00:23:47,240 --> 00:23:49,720 Speaker 1: five hundred uh and even more than that if you 422 00:23:49,760 --> 00:23:51,639 Speaker 1: were to adjust for the cash, which you know, more 423 00:23:51,680 --> 00:23:54,160 Speaker 1: and more that should be coming back to shareholders. Why 424 00:23:54,160 --> 00:23:56,320 Speaker 1: do you think that it trades at this discount? I mean, 425 00:23:56,400 --> 00:23:59,359 Speaker 1: is it always because there's the footnote or the asterisk 426 00:23:59,480 --> 00:24:01,479 Speaker 1: that says, you know, they rely so much on the 427 00:24:01,520 --> 00:24:06,800 Speaker 1: iPhone and YadA, YadA, YadA. It's exactly that. And there's 428 00:24:06,840 --> 00:24:10,360 Speaker 1: cycles within the iPhone. This iPhone XT cycle is expected 429 00:24:10,400 --> 00:24:14,000 Speaker 1: to be a very big refresh cycle. Uh So there's 430 00:24:14,000 --> 00:24:17,359 Speaker 1: a bit more not maybe boom bust isn't it the 431 00:24:17,440 --> 00:24:19,520 Speaker 1: right description for it. But from year to year, there 432 00:24:19,600 --> 00:24:22,119 Speaker 1: is a bit of a bump and drop in earnings, 433 00:24:22,640 --> 00:24:25,239 Speaker 1: uh at the net income level, just because of the 434 00:24:25,320 --> 00:24:27,840 Speaker 1: units that are sold. I mean, most people refresh their 435 00:24:27,840 --> 00:24:30,520 Speaker 1: phone and kind of a two year basis. Uh. Such, 436 00:24:30,640 --> 00:24:32,840 Speaker 1: just a little bit of an up and down, which 437 00:24:33,200 --> 00:24:35,640 Speaker 1: you know results on a lower multiple. Okay, let's turn 438 00:24:35,680 --> 00:24:38,960 Speaker 1: your attention to Alphabet. Now, Alphabet, of course the parent 439 00:24:39,040 --> 00:24:42,239 Speaker 1: company of Google, talking about a hundred billion dollar a 440 00:24:42,240 --> 00:24:46,600 Speaker 1: company that has about a quarter of that as profit, 441 00:24:46,680 --> 00:24:49,840 Speaker 1: twenty three billion dollars worth of profit on an annual basis. 442 00:24:49,880 --> 00:24:53,199 Speaker 1: What are you going to look for from Google? So 443 00:24:53,320 --> 00:24:56,480 Speaker 1: Google continues to be our largest position in the portfolio. 444 00:24:57,200 --> 00:24:59,439 Speaker 1: You know, when you look at this company, there just 445 00:24:59,480 --> 00:25:02,680 Speaker 1: seems to be be a very clear runway to north 446 00:25:02,720 --> 00:25:07,760 Speaker 1: of FX neutral revenue growth going forward. Uh, there's still 447 00:25:08,359 --> 00:25:11,640 Speaker 1: you know, broadly speaking, a tremendous amount of global advertising 448 00:25:11,680 --> 00:25:14,919 Speaker 1: that is still in traditional forms be a TV print 449 00:25:15,720 --> 00:25:18,199 Speaker 1: that needs to come digital, and you know, name like 450 00:25:18,240 --> 00:25:20,879 Speaker 1: Google is going to be a primary beneficiary there. Obviously 451 00:25:20,960 --> 00:25:23,879 Speaker 1: there'll be some others as well. Um, but for Google 452 00:25:23,920 --> 00:25:26,119 Speaker 1: to continue to grow on this north of a hundred 453 00:25:26,119 --> 00:25:30,200 Speaker 1: billion dollar base of revenues, it's just extraordinary. And when 454 00:25:30,200 --> 00:25:32,400 Speaker 1: you look at the multiple, it doesn't trade at all 455 00:25:32,440 --> 00:25:35,440 Speaker 1: that much of a premium to the market, especially when 456 00:25:35,480 --> 00:25:37,639 Speaker 1: you adjust for the nearly hundred and forty dollars a 457 00:25:37,680 --> 00:25:39,600 Speaker 1: share that they have in cash. All Right, I'll give 458 00:25:39,600 --> 00:25:42,800 Speaker 1: you a chance now for Amazon. Amazon a hundred and 459 00:25:42,840 --> 00:25:45,800 Speaker 1: sixty one billion dollars a year in revenue, But they're 460 00:25:45,800 --> 00:25:49,920 Speaker 1: not interested in profits, are they. Uh? That's always the 461 00:25:50,000 --> 00:25:52,960 Speaker 1: knock on the stock, right is that you know, Amazon 462 00:25:53,000 --> 00:25:55,280 Speaker 1: doesn't throw a whole lot to the bottom line with 463 00:25:55,400 --> 00:25:57,480 Speaker 1: this company when you look at it longer term and 464 00:25:57,560 --> 00:26:00,520 Speaker 1: you discount the potential cash flow, and if they ever 465 00:26:00,560 --> 00:26:02,800 Speaker 1: took their foot off the gas in terms of the investments, 466 00:26:02,840 --> 00:26:06,160 Speaker 1: there would be an extraordinary flow through. Now you're hard 467 00:26:06,160 --> 00:26:08,600 Speaker 1: pressed the fault them for the investments that they've made 468 00:26:08,640 --> 00:26:12,800 Speaker 1: because they have generated such extraordinary revenue growth. And I 469 00:26:12,840 --> 00:26:14,679 Speaker 1: think you're going to see that in this holiday season. 470 00:26:14,880 --> 00:26:17,200 Speaker 1: You know, they put out a release talking about prime 471 00:26:17,600 --> 00:26:20,359 Speaker 1: membership and new prime offerings that were adopted during the 472 00:26:20,359 --> 00:26:24,720 Speaker 1: holiday season, and all points everything points to a very 473 00:26:24,800 --> 00:26:28,000 Speaker 1: very robust holiday season for them, and then the AWS 474 00:26:28,040 --> 00:26:30,439 Speaker 1: business continues to be in a nice trajectory and generate 475 00:26:30,480 --> 00:26:33,479 Speaker 1: slots of cash flow for them. Thanks very much, Michael Scanlon, 476 00:26:33,520 --> 00:26:38,000 Speaker 1: as portfolio manager, Manu Life Asset Management, joining us from Boston. 477 00:26:41,840 --> 00:26:44,359 Speaker 1: Thanks for listening to the Bloomberg P and L podcast. 478 00:26:44,720 --> 00:26:48,600 Speaker 1: You can subscribe and listen to interviews at Apple podcasts, SoundCloud, 479 00:26:48,720 --> 00:26:52,200 Speaker 1: or whatever podcast platform you prefer. I'm pim Fox. I'm 480 00:26:52,200 --> 00:26:55,760 Speaker 1: on Twitter at pim Fox. I'm on Twitter at Lisa 481 00:26:55,800 --> 00:26:58,959 Speaker 1: Abramowits one before the podcast. You can always catch us 482 00:26:58,960 --> 00:27:09,080 Speaker 1: worldwide on Blue or Radio m