1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,560 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,279 Speaker 1: at Bloomberg dot com slash podcast. Let's keep on that 7 00:00:22,440 --> 00:00:25,959 Speaker 1: Netflix team, shall we. They report earnings next week, and 8 00:00:26,000 --> 00:00:28,920 Speaker 1: that's usually a big event for the stock. Let's welcome 9 00:00:29,360 --> 00:00:31,880 Speaker 1: uh keitha wrong Onah and she is the technology and 10 00:00:31,920 --> 00:00:34,960 Speaker 1: media annalyst at Bloomberg Intelligence. She's been covering this company 11 00:00:35,040 --> 00:00:38,400 Speaker 1: pretty much since its inception as a public company. Keithan, 12 00:00:38,440 --> 00:00:41,120 Speaker 1: thanks so much for joining us here. What can we expect? 13 00:00:41,159 --> 00:00:46,640 Speaker 1: What are investors really looking for when Netflix reports next week? Yeah, 14 00:00:46,640 --> 00:00:50,120 Speaker 1: thank you so much Paul and Taylor for inviting me 15 00:00:50,159 --> 00:00:53,080 Speaker 1: to this conversation. So, um, it's going to be a 16 00:00:53,200 --> 00:00:57,560 Speaker 1: pretty week quarter for Netflix. They have telegraphs that pretty 17 00:00:57,560 --> 00:01:02,360 Speaker 1: well to investors, so they're expecting about one million editions. 18 00:01:02,400 --> 00:01:05,039 Speaker 1: This will be the lowest ever for the company in 19 00:01:05,080 --> 00:01:07,959 Speaker 1: at least ten years, and really it's a factor of 20 00:01:08,120 --> 00:01:10,959 Speaker 1: many different things. So you had that massive pull forward 21 00:01:11,040 --> 00:01:14,080 Speaker 1: of demand from last year because of COVID when they 22 00:01:14,120 --> 00:01:17,600 Speaker 1: reported twenty six million subscribers in the first half of 23 00:01:18,800 --> 00:01:20,880 Speaker 1: that's usually the number that they report for the whole year. 24 00:01:21,560 --> 00:01:24,200 Speaker 1: And then you also have, now, you know, the the 25 00:01:24,400 --> 00:01:27,920 Speaker 1: additional factor of people going wanting to go more outdoors 26 00:01:27,959 --> 00:01:30,760 Speaker 1: and demanding more out of home entertainment. And then the 27 00:01:30,840 --> 00:01:33,560 Speaker 1: third thing that we're seeing is that there was obviously 28 00:01:33,600 --> 00:01:36,560 Speaker 1: the effect of all those production shutdowns, so they had 29 00:01:36,560 --> 00:01:40,200 Speaker 1: a pretty light content slate into Q, none of their 30 00:01:40,240 --> 00:01:43,000 Speaker 1: big titles, So it's really the impact of all those 31 00:01:43,000 --> 00:01:45,920 Speaker 1: three and so a pretty weak quarter is what we're 32 00:01:45,959 --> 00:01:50,360 Speaker 1: expecting in general. With that weak quarter that we're expecting, 33 00:01:50,400 --> 00:01:52,560 Speaker 1: it seems like Netflix is trying to get ahead of 34 00:01:52,560 --> 00:01:56,720 Speaker 1: that announcement and help engagement and help penetration by going 35 00:01:56,760 --> 00:01:59,920 Speaker 1: into video games. What can we expect from net fille 36 00:02:00,280 --> 00:02:04,600 Speaker 1: Alla video games? Yeah, I think that's you know, it's 37 00:02:04,760 --> 00:02:06,640 Speaker 1: it's kind of been in the offering, I think for 38 00:02:06,640 --> 00:02:09,200 Speaker 1: a little while now, and I think it's really a 39 00:02:09,320 --> 00:02:13,000 Speaker 1: very natural extension of their content strategy. I think what 40 00:02:13,000 --> 00:02:15,839 Speaker 1: they're trying to do is to really be a comprehensive 41 00:02:16,040 --> 00:02:19,839 Speaker 1: entertainment solution and really trying to build more and more 42 00:02:19,880 --> 00:02:22,840 Speaker 1: engagement as you pointed out, and really more time spent 43 00:02:22,960 --> 00:02:25,720 Speaker 1: with the platform. Remember a few years ago, when you know, 44 00:02:25,800 --> 00:02:29,520 Speaker 1: read Hingston's was asked about who their biggest competitor competitor is. 45 00:02:29,960 --> 00:02:33,400 Speaker 1: He didn't say an Amazon Prime or or even Hbo. 46 00:02:33,560 --> 00:02:36,480 Speaker 1: He he pointed out Fortnite as being their biggest competitor 47 00:02:36,520 --> 00:02:39,080 Speaker 1: for time and attention. Um, so that's really kind of 48 00:02:39,120 --> 00:02:41,720 Speaker 1: what they want. They want to you know, increase engagement, 49 00:02:41,720 --> 00:02:44,560 Speaker 1: they want to increase time spent. And I think it's 50 00:02:44,400 --> 00:02:46,359 Speaker 1: it really kind of makes sense that it makes it. 51 00:02:46,440 --> 00:02:48,359 Speaker 1: It's a huge oportnity for Netflix to be able to 52 00:02:48,400 --> 00:02:53,240 Speaker 1: differentiate its content offering, boost subscriber engagement, boost retention against 53 00:02:53,280 --> 00:02:56,440 Speaker 1: all the other streaming players. Keithan talked to us about 54 00:02:57,360 --> 00:03:00,560 Speaker 1: the competitive environment again. Over the last year, you know, 55 00:03:00,600 --> 00:03:03,320 Speaker 1: we saw a lot of new players on the streaming business, 56 00:03:03,320 --> 00:03:06,000 Speaker 1: you know, Disney Plus and Peacock and you know all 57 00:03:06,000 --> 00:03:09,200 Speaker 1: the others uh that are out there. Give us a 58 00:03:09,240 --> 00:03:14,920 Speaker 1: sense of how it's shaking out in these early quarters. So, Um, 59 00:03:14,960 --> 00:03:17,400 Speaker 1: as you pointed out, Paul, I mean, Disney Plus has 60 00:03:17,400 --> 00:03:20,400 Speaker 1: been a runaway hit, so they have amassed more than 61 00:03:20,560 --> 00:03:24,040 Speaker 1: hundred million subscribers in you know, just a very short 62 00:03:24,360 --> 00:03:27,440 Speaker 1: about just about thirteen to fourteen months, so they it's 63 00:03:27,480 --> 00:03:31,119 Speaker 1: been a blockbuster success for them. Um and of course, 64 00:03:31,120 --> 00:03:32,880 Speaker 1: as you pointed out, we've had a lot of new 65 00:03:32,919 --> 00:03:35,440 Speaker 1: players kind of a burst down into the screen. But 66 00:03:35,480 --> 00:03:38,880 Speaker 1: I think we're kind of seeing, uh, really this come 67 00:03:39,200 --> 00:03:42,240 Speaker 1: emerged as as as a two horse race, if you will, 68 00:03:42,280 --> 00:03:45,040 Speaker 1: between Netflix and Disney, but you're also seeing all the 69 00:03:45,080 --> 00:03:47,680 Speaker 1: other players kind of trying to jockey for scale. So 70 00:03:47,720 --> 00:03:51,480 Speaker 1: Amazon time very big deals just in the space of 71 00:03:51,880 --> 00:03:53,880 Speaker 1: you know, the past few weeks. They went out and 72 00:03:53,920 --> 00:03:57,720 Speaker 1: acquired the NFL Thursday Night games for about eleven to 73 00:03:57,760 --> 00:04:01,000 Speaker 1: twelve billion dollars and then the NBM studio for another 74 00:04:01,080 --> 00:04:03,800 Speaker 1: eight and a house dollars. So again they really want 75 00:04:03,800 --> 00:04:06,400 Speaker 1: to make Prime a talk to your service. Then you 76 00:04:06,720 --> 00:04:09,280 Speaker 1: then you have HBO Max and the Discovery deal creating 77 00:04:09,280 --> 00:04:11,400 Speaker 1: a new company, a hundred and fifty billion dollar company. 78 00:04:11,440 --> 00:04:15,120 Speaker 1: Again HBO Max wanting to kind of break into that uh, 79 00:04:15,320 --> 00:04:18,640 Speaker 1: top tier streaming offering. So we're definitely going to see 80 00:04:18,640 --> 00:04:20,080 Speaker 1: a shakeout. I think at the end of the day, 81 00:04:20,120 --> 00:04:23,359 Speaker 1: we're probably going to see about three or four or 82 00:04:23,480 --> 00:04:27,120 Speaker 1: five major services Nextlork, Mestics, and Disney and Amazon obviously 83 00:04:27,520 --> 00:04:30,400 Speaker 1: the top one to three I think among those, and 84 00:04:30,440 --> 00:04:32,120 Speaker 1: then it's going to be really interesting to see what 85 00:04:32,160 --> 00:04:35,720 Speaker 1: happens with you know, speak of what happens with viacoms, 86 00:04:35,880 --> 00:04:40,200 Speaker 1: Paramount plus. I think eventually consolidation is on the card, 87 00:04:41,000 --> 00:04:42,920 Speaker 1: but we'll have to wait and watch. There seems to 88 00:04:43,000 --> 00:04:45,479 Speaker 1: be a push pull. We feel like there has to 89 00:04:45,520 --> 00:04:48,960 Speaker 1: be consolidation because you have to be big to compete. 90 00:04:49,320 --> 00:04:52,200 Speaker 1: And yeah, we're getting a lot of big anti trust, 91 00:04:52,440 --> 00:04:56,280 Speaker 1: anti big tech rhetoric out of this administration, saying that 92 00:04:56,320 --> 00:04:59,800 Speaker 1: they don't like big companies. They want to promote competition. 93 00:05:00,560 --> 00:05:03,720 Speaker 1: Do you expect deals to get done and and do 94 00:05:03,839 --> 00:05:06,039 Speaker 1: they get done or they can be tied up in 95 00:05:06,080 --> 00:05:09,760 Speaker 1: courts for a while. Yeah, So even with the that's 96 00:05:09,760 --> 00:05:12,040 Speaker 1: a great point. I think even with the Amazon deal, 97 00:05:12,080 --> 00:05:14,440 Speaker 1: I mean we have the new you know, FTC chair 98 00:05:14,480 --> 00:05:16,800 Speaker 1: who kind of expressed some reservations about that. But I 99 00:05:16,800 --> 00:05:18,880 Speaker 1: don't think they're necessarily if you kind of just look 100 00:05:19,680 --> 00:05:21,719 Speaker 1: at the business that you know, any of these big 101 00:05:21,720 --> 00:05:25,320 Speaker 1: tech players are in, I don't think they necessarily pose 102 00:05:25,440 --> 00:05:30,640 Speaker 1: any competitive challenges right Acquiring a studio acquiring a media company. Um. Again, 103 00:05:30,680 --> 00:05:33,280 Speaker 1: I'm not really sure about how long it could be 104 00:05:33,320 --> 00:05:35,960 Speaker 1: tied up in courts, but I think ultimately, um, you know, 105 00:05:36,040 --> 00:05:38,279 Speaker 1: if tex players like an Apple or an Amazon wants 106 00:05:38,279 --> 00:05:40,479 Speaker 1: to go on studio, I think they should be able 107 00:05:40,520 --> 00:05:43,800 Speaker 1: to do so without too much hassle. Keith A real 108 00:05:43,839 --> 00:05:46,880 Speaker 1: quick thirty seconds. Is Netflix still a subscriber growth story? 109 00:05:46,920 --> 00:05:50,160 Speaker 1: I see the stocks flat year to date. Um, so 110 00:05:50,200 --> 00:05:52,560 Speaker 1: they have done a really good job, Paul, and kind 111 00:05:52,560 --> 00:05:55,239 Speaker 1: of moving away a little bit from that over focus 112 00:05:55,320 --> 00:05:57,880 Speaker 1: on subscribers. They're really now focusing more on free cash 113 00:05:57,920 --> 00:06:01,479 Speaker 1: flows on margins, and they're showing some real, really good 114 00:06:01,560 --> 00:06:04,480 Speaker 1: numbers on that front as well. All right, Keithan, thank 115 00:06:04,480 --> 00:06:06,600 Speaker 1: you so much for joining us. As always, you are 116 00:06:06,640 --> 00:06:09,719 Speaker 1: our guru for all things t MT. Keith Wrong and Nothing, 117 00:06:10,240 --> 00:06:13,240 Speaker 1: technology and media analyst for Bloomberg Intelligence joining us on 118 00:06:13,279 --> 00:06:17,039 Speaker 1: the phone from New Jersey. Uh. I hired Githa back 119 00:06:17,080 --> 00:06:19,760 Speaker 1: in the day. We worked together for ten days or 120 00:06:19,760 --> 00:06:21,960 Speaker 1: ten years, and she has just developed into one of 121 00:06:21,960 --> 00:06:24,760 Speaker 1: the top media and now technology analysts on Wall Street. 122 00:06:24,760 --> 00:06:26,280 Speaker 1: And we're fortunate to have her and all the other 123 00:06:26,839 --> 00:06:33,719 Speaker 1: good folks at a Bloomberg intelligence. Let's talk about retail sales. 124 00:06:34,279 --> 00:06:38,080 Speaker 1: Got some numbers this morning. Came in better than expected. 125 00:06:38,120 --> 00:06:41,080 Speaker 1: Retail sales came into zero point six percent gain versus 126 00:06:41,080 --> 00:06:43,960 Speaker 1: a forecast of a zero point three decline. So pretty 127 00:06:44,000 --> 00:06:45,920 Speaker 1: strong there. Let's get some details on that and some 128 00:06:45,960 --> 00:06:48,760 Speaker 1: of the other retail issues out there in the U 129 00:06:48,800 --> 00:06:51,800 Speaker 1: S consumer. We do that with A. G. Solanki, national 130 00:06:51,839 --> 00:06:54,840 Speaker 1: director for Retail in the US for Collier's International, joins 131 00:06:54,920 --> 00:06:57,560 Speaker 1: us on the zone from phone from San Francisco and Chie, 132 00:06:57,560 --> 00:06:59,599 Speaker 1: thanks so much for taking the time, love to get 133 00:06:59,680 --> 00:07:04,280 Speaker 1: your kind of foot snapshot on the US consumer right 134 00:07:04,320 --> 00:07:06,440 Speaker 1: here as we slowly come out on the other side 135 00:07:06,440 --> 00:07:10,040 Speaker 1: of this pandemic. Yeah, thanks for having me. So let's 136 00:07:10,080 --> 00:07:12,440 Speaker 1: just just dive in. So what we're seeing right now 137 00:07:12,680 --> 00:07:18,120 Speaker 1: is definitely we saw certain categories in retail I e. Clothing, uh, 138 00:07:18,240 --> 00:07:24,239 Speaker 1: certain F and B categories, department store sales drop anywhere between, 139 00:07:26,440 --> 00:07:29,680 Speaker 1: and of course conversely, we saw the e commerce jump in. 140 00:07:29,800 --> 00:07:32,720 Speaker 1: Right now, we're starting to see a shift. People are 141 00:07:32,760 --> 00:07:36,440 Speaker 1: definitely coming back strong as it relates to buying power 142 00:07:36,600 --> 00:07:40,080 Speaker 1: in store, and with that, we're starting to see in 143 00:07:40,160 --> 00:07:45,200 Speaker 1: certain sectors a rebound. For example, in apparel increase. It's 144 00:07:45,240 --> 00:07:49,360 Speaker 1: the largest increase we've seen thus far in any category. 145 00:07:49,840 --> 00:07:52,360 Speaker 1: And also in addition to that, we're starting to see 146 00:07:52,800 --> 00:07:56,520 Speaker 1: um store expansion. So this is led by the grocery, 147 00:07:56,640 --> 00:08:01,200 Speaker 1: the home, beauty, and value oriented concepts. So new store 148 00:08:01,320 --> 00:08:04,520 Speaker 1: openings right now or outpacing store closing, so we're pretty 149 00:08:04,560 --> 00:08:10,040 Speaker 1: excited about that. How are consumers feeling about paying higher prices? 150 00:08:10,160 --> 00:08:15,120 Speaker 1: On one hand, you have retail sales that looked relatively 151 00:08:15,360 --> 00:08:19,320 Speaker 1: strong today, but then you're seeing consumer sentiment fall because 152 00:08:19,400 --> 00:08:22,760 Speaker 1: inflation expectations in the next year are expected to be 153 00:08:22,800 --> 00:08:25,400 Speaker 1: the highest since two thousand and eight. Are they willing 154 00:08:25,440 --> 00:08:30,240 Speaker 1: to pay these higher prices? So there is definitely a 155 00:08:30,320 --> 00:08:33,080 Speaker 1: concern around that, I think because there's this um you know, 156 00:08:33,160 --> 00:08:35,880 Speaker 1: kind of the stimulus payment of starting to slowly fade away, 157 00:08:36,120 --> 00:08:38,600 Speaker 1: so they haven't really put a percent of their mindset 158 00:08:38,640 --> 00:08:43,040 Speaker 1: into Hey, we're looking at inflation of some sort and pricing, 159 00:08:43,400 --> 00:08:46,200 Speaker 1: so there's still a spend, a strong spend, and what 160 00:08:46,280 --> 00:08:49,480 Speaker 1: we're seeing from that strong spend occur is in what 161 00:08:49,559 --> 00:08:54,040 Speaker 1: I would say more the service oriented side. So going 162 00:08:54,120 --> 00:08:58,040 Speaker 1: to the getting a massage, going for a pedigure, mannic here, 163 00:08:58,080 --> 00:09:01,520 Speaker 1: getting your hair done, um, the hair salons, et cetera. 164 00:09:01,679 --> 00:09:05,120 Speaker 1: So we're still seeing that momentum um. When we I 165 00:09:05,160 --> 00:09:07,680 Speaker 1: think it will start to fade, maybe we'll probably see 166 00:09:07,720 --> 00:09:11,840 Speaker 1: those results closer to Q three Q four. So Andie, 167 00:09:11,880 --> 00:09:13,440 Speaker 1: one of the things we saw from this from the 168 00:09:13,440 --> 00:09:16,240 Speaker 1: retail perspective during this pandemic is what a lot of 169 00:09:16,240 --> 00:09:18,600 Speaker 1: folks are saying is just you know, this accelerating growth 170 00:09:18,600 --> 00:09:21,000 Speaker 1: of e commerce, and maybe it might have pulled maybe 171 00:09:21,040 --> 00:09:23,080 Speaker 1: two or three years worth of market share gains in 172 00:09:23,160 --> 00:09:25,600 Speaker 1: terms of e commerce in terms of relative to total 173 00:09:25,679 --> 00:09:28,319 Speaker 1: re retail sales, maybe poured it, pulled it forward maybe 174 00:09:28,320 --> 00:09:31,000 Speaker 1: by two or three years. Is that in fact the case? 175 00:09:31,040 --> 00:09:32,880 Speaker 1: And do you think some of those e commerce gains 176 00:09:32,920 --> 00:09:37,199 Speaker 1: are here to stay? Um? I don't do not believe 177 00:09:37,200 --> 00:09:39,280 Speaker 1: they are here to stay. I think they are a 178 00:09:39,280 --> 00:09:43,840 Speaker 1: part of our shopping journey for any UM consumer. However, 179 00:09:43,880 --> 00:09:45,319 Speaker 1: what we're starting to see is a bit of a 180 00:09:45,360 --> 00:09:48,880 Speaker 1: cutback as it relates to e commerce, and our Q 181 00:09:49,080 --> 00:09:51,960 Speaker 1: two numbers that we're forecasting are roughly around thirteen point 182 00:09:52,000 --> 00:09:56,720 Speaker 1: six percent compared to Q two so UM, granted, it 183 00:09:56,800 --> 00:09:59,439 Speaker 1: was kind of an off quarter, but nonetheless we're starting 184 00:09:59,440 --> 00:10:02,120 Speaker 1: to see a stay realization, and I think that people 185 00:10:02,120 --> 00:10:04,320 Speaker 1: are still there's still you know, when we look at 186 00:10:04,760 --> 00:10:08,520 Speaker 1: the square footage in terms of UM per person square 187 00:10:08,559 --> 00:10:11,760 Speaker 1: footage of retail, it's still pretty significant. People want to 188 00:10:11,760 --> 00:10:17,480 Speaker 1: be out there. Are we finding enough workers to come 189 00:10:17,520 --> 00:10:22,840 Speaker 1: back to work? Good question. Yeah, that's that's a great question. Honestly, 190 00:10:22,960 --> 00:10:25,880 Speaker 1: it's been a big struggle some quick things that we've 191 00:10:25,880 --> 00:10:29,720 Speaker 1: been hearing, especially with chain restaurants and fast casual. What 192 00:10:29,800 --> 00:10:32,320 Speaker 1: we're seeing in that, you know, in that area is 193 00:10:32,360 --> 00:10:34,840 Speaker 1: that it has been a struggle. So what are they doing? Well, 194 00:10:35,160 --> 00:10:38,640 Speaker 1: they've identified some interesting ways to get around it. First off, 195 00:10:38,760 --> 00:10:41,319 Speaker 1: we're seeing a lot of the chain restaurants being quite 196 00:10:41,320 --> 00:10:44,120 Speaker 1: creative with how they're approaching or how they're getting out 197 00:10:44,160 --> 00:10:47,960 Speaker 1: there to identifying new employees. So we're not seeing too 198 00:10:48,040 --> 00:10:52,280 Speaker 1: much of an overpaying or arise in wages, but we're 199 00:10:52,280 --> 00:10:54,920 Speaker 1: seeing some interesting things of how they're kind of connecting 200 00:10:54,960 --> 00:10:59,520 Speaker 1: with you know this you know, the employees um and 201 00:10:59,559 --> 00:11:02,199 Speaker 1: that's either through TikTok. So a lot of the brands 202 00:11:02,240 --> 00:11:05,360 Speaker 1: are starting to use TikTok to um really get the 203 00:11:05,360 --> 00:11:08,000 Speaker 1: brand awareness out there, to use that as a way 204 00:11:08,000 --> 00:11:10,720 Speaker 1: of putting out you know, getting resumes in and out 205 00:11:11,160 --> 00:11:13,800 Speaker 1: UM and trying to tap into kind of that younger set. 206 00:11:14,200 --> 00:11:16,600 Speaker 1: So that's one. The other thing that we're I found 207 00:11:16,720 --> 00:11:20,560 Speaker 1: very interesting is that they're actually offering signing bonuses. Some 208 00:11:20,960 --> 00:11:24,400 Speaker 1: brands are offering signing bonuses UM to get people in. 209 00:11:24,960 --> 00:11:28,320 Speaker 1: So it's it's we'll start to see some shifts there. 210 00:11:28,440 --> 00:11:31,360 Speaker 1: But for the most part, specifically when it comes to 211 00:11:31,640 --> 00:11:36,520 Speaker 1: labor and restaurants, UM, they are still challenged. We're seeing 212 00:11:36,559 --> 00:11:42,640 Speaker 1: that with kind of reduced menu offerings, reduced operating hours, etcetera. Uh, 213 00:11:42,720 --> 00:11:46,240 Speaker 1: and so they have to be creative today. I think 214 00:11:46,280 --> 00:11:48,440 Speaker 1: some of the retailers are pretty creative during this pandemic. 215 00:11:48,480 --> 00:11:50,720 Speaker 1: One of them was this curbside pickup. That's a pretty 216 00:11:50,760 --> 00:11:53,680 Speaker 1: cool thing. I kind of enjoy that. Is that going 217 00:11:53,720 --> 00:11:57,240 Speaker 1: to state? Do you think? Oh? Most definitely. We're actually 218 00:11:57,240 --> 00:12:02,240 Speaker 1: starting to see um, you know, letters of intent requesting 219 00:12:02,360 --> 00:12:06,040 Speaker 1: or requiring curbside pick up. So when I was speaking 220 00:12:06,080 --> 00:12:09,400 Speaker 1: with a variety of national retailers, I said, how is 221 00:12:09,440 --> 00:12:13,040 Speaker 1: that you helped or not helped having curbside? Is it 222 00:12:13,080 --> 00:12:16,160 Speaker 1: an added expense? They said, not at all. It's actually 223 00:12:16,160 --> 00:12:20,040 Speaker 1: a convenience to our customer. And it's another channel of 224 00:12:20,040 --> 00:12:24,439 Speaker 1: how we can um provide another solution for that that 225 00:12:24,559 --> 00:12:26,640 Speaker 1: customer where if they don't feel like they want to 226 00:12:26,640 --> 00:12:27,959 Speaker 1: come into the store and they just want to pick 227 00:12:28,000 --> 00:12:31,200 Speaker 1: it up curbside, they have that flexibility and so that's 228 00:12:31,200 --> 00:12:33,760 Speaker 1: really important to them. They've seen a lift in sales 229 00:12:34,080 --> 00:12:39,200 Speaker 1: anywhere between twelve and FI. Yeah, that's pretty pretty interesting 230 00:12:39,280 --> 00:12:42,920 Speaker 1: seeing retailers get pretty creative on j Slanki, national director 231 00:12:42,920 --> 00:12:46,440 Speaker 1: Retail for in the US for Collier's International, giving us 232 00:12:46,480 --> 00:12:50,000 Speaker 1: her thoughts on the retail landscape again generally pretty strong 233 00:12:50,040 --> 00:12:55,760 Speaker 1: as consumer confidence continues to rebound. All right, So we 234 00:12:55,840 --> 00:12:58,720 Speaker 1: are getting right into the meat of this earning season 235 00:12:58,720 --> 00:13:00,320 Speaker 1: and there's a lot of folks out there. It's a boy, 236 00:13:00,320 --> 00:13:02,920 Speaker 1: these earnings are really better come through because when you 237 00:13:02,920 --> 00:13:05,280 Speaker 1: look at valuations, you can make the argument that a 238 00:13:05,320 --> 00:13:08,760 Speaker 1: lot of these uh parts of the market are overextended 239 00:13:08,800 --> 00:13:12,760 Speaker 1: from evaluation perspective. Josh Wine, portfolio manager at Hennessey Funds, 240 00:13:12,880 --> 00:13:14,800 Speaker 1: joins as Josh, I love to get your thoughts on 241 00:13:14,920 --> 00:13:17,800 Speaker 1: kind of what you need to see, what you expect 242 00:13:17,880 --> 00:13:21,120 Speaker 1: to see out of this earnings season here as it 243 00:13:21,160 --> 00:13:24,679 Speaker 1: relates to you know, kind of maybe earnings and valuations 244 00:13:24,679 --> 00:13:27,640 Speaker 1: in this market. Yeah, it's good to be with you. 245 00:13:27,679 --> 00:13:29,800 Speaker 1: I have a spell in my face hearing about karaoke 246 00:13:29,880 --> 00:13:31,400 Speaker 1: and Dolly part and that's a great way to start 247 00:13:31,440 --> 00:13:33,480 Speaker 1: this out. The world is a better place for my 248 00:13:33,559 --> 00:13:37,040 Speaker 1: not doing karaoke as well. Um yeah, earning season, uh, 249 00:13:37,120 --> 00:13:39,480 Speaker 1: you know, certainly want to see the consumer so as 250 00:13:39,640 --> 00:13:41,920 Speaker 1: as companies roll out earnings. You know, it was very 251 00:13:41,920 --> 00:13:44,040 Speaker 1: interesting to see bank earnings and I think it was expected, 252 00:13:44,080 --> 00:13:46,480 Speaker 1: you know, very strong earnings there. But you know, we 253 00:13:46,559 --> 00:13:49,360 Speaker 1: have a retail sales number today that was well ahead 254 00:13:49,400 --> 00:13:53,320 Speaker 1: of expectations, and things like clothing and electronics and restaurants 255 00:13:53,320 --> 00:13:56,160 Speaker 1: were you know, above above average growth and and ahead 256 00:13:56,200 --> 00:13:59,360 Speaker 1: of expectations. So you know, it is what it is, 257 00:13:59,400 --> 00:14:01,280 Speaker 1: and it would be great to hear, you know, some guidance. 258 00:14:01,320 --> 00:14:04,240 Speaker 1: You know, what are you know, companies thinking about, you know, 259 00:14:04,280 --> 00:14:06,559 Speaker 1: the next quarter. You know, right now we have very 260 00:14:06,600 --> 00:14:09,600 Speaker 1: easy comparisons to a year ago. But you know, let's see, 261 00:14:09,800 --> 00:14:10,920 Speaker 1: you know, what it's going to look like in Q 262 00:14:11,080 --> 00:14:15,520 Speaker 1: four when the comparison is is meaningfully more difficult, and 263 00:14:15,559 --> 00:14:18,280 Speaker 1: certainly Q one of next year it will be somewhat 264 00:14:18,280 --> 00:14:21,960 Speaker 1: of a regular comparison to Q one of this year. Josh, 265 00:14:22,000 --> 00:14:25,360 Speaker 1: how are you investing in this time when you get 266 00:14:25,440 --> 00:14:28,760 Speaker 1: strong retail sales but then you see consumer sentiment coming 267 00:14:28,840 --> 00:14:33,600 Speaker 1: really soft given one year inflation expectations are going back 268 00:14:33,640 --> 00:14:36,200 Speaker 1: the highest since two thousand and eight. How do you 269 00:14:36,320 --> 00:14:41,720 Speaker 1: take to contradicting factors and invest Yeah, it's interesting because 270 00:14:41,720 --> 00:14:44,360 Speaker 1: you know, I was looking, you know, the market, you know, 271 00:14:44,440 --> 00:14:47,240 Speaker 1: twenty times forward earnings, so about a five percent earnings 272 00:14:47,280 --> 00:14:50,400 Speaker 1: yield against the backdrop of a one three on the tenure. 273 00:14:50,960 --> 00:14:55,960 Speaker 1: So you know, valuations on average are incredibly compelling. You 274 00:14:55,960 --> 00:14:59,320 Speaker 1: know that they're basically that's spread the earnings yield versus 275 00:14:59,320 --> 00:15:02,600 Speaker 1: the ten years were we were before the pandemic started. Uh. 276 00:15:02,800 --> 00:15:07,640 Speaker 1: That being said, you know, yeah, certainly size matters a 277 00:15:07,640 --> 00:15:10,760 Speaker 1: lot in this market increasingly so. So you know, a Microsoft, 278 00:15:11,280 --> 00:15:15,520 Speaker 1: great company, thirty four times forward earnings. When I see that, 279 00:15:15,600 --> 00:15:18,040 Speaker 1: and they're growing quite nicely, but I think to myself 280 00:15:18,080 --> 00:15:21,240 Speaker 1: that the market definitely places a premium on growth. I 281 00:15:21,240 --> 00:15:24,240 Speaker 1: think more so in the case of a Microsoft, it's 282 00:15:24,280 --> 00:15:26,520 Speaker 1: not only a great balance, but just the size and 283 00:15:26,560 --> 00:15:29,240 Speaker 1: the liquidity. So I think that there's definitely a size 284 00:15:29,240 --> 00:15:32,880 Speaker 1: and liquidity story, and what gets blocked out by that 285 00:15:33,400 --> 00:15:36,400 Speaker 1: by that sun is you know, kind of midcaps with 286 00:15:36,440 --> 00:15:41,640 Speaker 1: a similar valuation story and you know, compelling growth, but 287 00:15:41,920 --> 00:15:44,240 Speaker 1: certainly the multiples are not there, and I think that 288 00:15:44,480 --> 00:15:47,840 Speaker 1: you know in that lies you know a great opportunity. Josh, 289 00:15:47,880 --> 00:15:51,240 Speaker 1: where are you and your team at Hennessey Advisors in 290 00:15:51,360 --> 00:15:54,160 Speaker 1: Chapel Hill, North Carolina. I don't know why you didn't 291 00:15:54,160 --> 00:15:58,680 Speaker 1: locate in Durham Superior University down there, but anyway, what 292 00:15:58,720 --> 00:16:01,240 Speaker 1: are you and your team doing in terms of work 293 00:16:01,320 --> 00:16:04,480 Speaker 1: right now? What are the areas you're focusing on? Sure? Yeah, 294 00:16:04,520 --> 00:16:06,840 Speaker 1: so I would point you know, in our Hennessy Cornerstone 295 00:16:06,840 --> 00:16:09,880 Speaker 1: mad Cap thirty fund, where we're looking at valuation, earnings, 296 00:16:09,880 --> 00:16:13,160 Speaker 1: growth and stock price momentum. And where that leads us 297 00:16:13,480 --> 00:16:15,640 Speaker 1: is a lot of the consumer names that you know, 298 00:16:15,720 --> 00:16:17,760 Speaker 1: don't get the attention of of you know, maybe like 299 00:16:17,760 --> 00:16:20,320 Speaker 1: a Costco or a Starbucks. You know, these are MidCap names, 300 00:16:20,960 --> 00:16:26,280 Speaker 1: UH companies like Mattel, Big Lots UH and Meritage Homes, 301 00:16:26,320 --> 00:16:30,200 Speaker 1: so you know, strong free cash flow generating companies, you know, 302 00:16:30,240 --> 00:16:33,920 Speaker 1: strong balance sheets. The multiples are interesting to me because 303 00:16:33,920 --> 00:16:36,160 Speaker 1: I think these are for the most part well known names. 304 00:16:36,200 --> 00:16:39,000 Speaker 1: But you know, Big Lots trading at nine times for earnings, 305 00:16:39,360 --> 00:16:45,360 Speaker 1: Mattel at sixteen times, Meritage at about six times for earnings. So, uh, 306 00:16:45,440 --> 00:16:48,920 Speaker 1: you know, I think that that you know, value can 307 00:16:48,960 --> 00:16:51,040 Speaker 1: be its own catalyst. And and I don't think a 308 00:16:51,040 --> 00:16:52,720 Speaker 1: lot of people agree with that, but I think that 309 00:16:53,160 --> 00:16:56,000 Speaker 1: these names, they are strong names, and they will live 310 00:16:56,040 --> 00:16:59,320 Speaker 1: to see another day and and at some point investors 311 00:16:59,320 --> 00:17:03,400 Speaker 1: will inevitable a U turn their attention towards these overlooked 312 00:17:03,480 --> 00:17:09,359 Speaker 1: type names. What is the path forward for interest rates? It? 313 00:17:09,640 --> 00:17:11,800 Speaker 1: Does it have to go higher from here? How are 314 00:17:11,840 --> 00:17:15,120 Speaker 1: you thinking about that? Yeah? I think about it a lot. 315 00:17:15,200 --> 00:17:18,480 Speaker 1: So I've covered equities in in some way, shape or 316 00:17:18,480 --> 00:17:21,280 Speaker 1: form for about twenty five years, and I've never paid 317 00:17:21,400 --> 00:17:23,359 Speaker 1: that much attention to the bondo market as much as 318 00:17:23,359 --> 00:17:25,879 Speaker 1: I do now. And first of all, you know, the 319 00:17:25,920 --> 00:17:28,120 Speaker 1: bond market to me, you know, there might be some 320 00:17:28,680 --> 00:17:31,160 Speaker 1: Obviously the FED is gets in the way of maybe 321 00:17:31,280 --> 00:17:34,560 Speaker 1: true price discovery to a large degree, but the bond 322 00:17:34,600 --> 00:17:37,919 Speaker 1: market is telling me that maybe we are borrowing some 323 00:17:37,960 --> 00:17:40,720 Speaker 1: growth from future quarters now that we've reopened, and there's 324 00:17:40,760 --> 00:17:43,760 Speaker 1: this delayed wealth effects, so people are out spending money, 325 00:17:43,800 --> 00:17:45,960 Speaker 1: and uh, you know, you see that if you just 326 00:17:46,000 --> 00:17:48,600 Speaker 1: walk down any and he needs, you know, any street 327 00:17:48,640 --> 00:17:52,400 Speaker 1: in this country probably, And uh so, I think that 328 00:17:53,359 --> 00:17:56,920 Speaker 1: we've been saying for so many years now that rates 329 00:17:56,960 --> 00:18:00,800 Speaker 1: have to go higher, and every year that becomes less 330 00:18:00,840 --> 00:18:02,520 Speaker 1: and less true, and and so yeah, I don't think 331 00:18:02,560 --> 00:18:05,199 Speaker 1: they have to go higher. I think rates, you know, 332 00:18:05,320 --> 00:18:09,120 Speaker 1: versus overseas rates are are somewhat elevated in the United States. 333 00:18:09,440 --> 00:18:12,880 Speaker 1: And when I look at overseas markets and economies they 334 00:18:12,880 --> 00:18:15,520 Speaker 1: are in no, they are not nearly as good a 335 00:18:15,560 --> 00:18:17,800 Speaker 1: shape as we are here in the United States for 336 00:18:17,880 --> 00:18:20,320 Speaker 1: the most part. So I think that we have a 337 00:18:20,320 --> 00:18:23,160 Speaker 1: lot to contend with overseas and in emerging markets, and 338 00:18:23,800 --> 00:18:26,800 Speaker 1: I don't know how sustainable things could ever be if 339 00:18:26,920 --> 00:18:30,680 Speaker 1: we don't get those economies reopened and functioning properly. So 340 00:18:31,640 --> 00:18:33,040 Speaker 1: you know, I'm not going to make any prediction on 341 00:18:33,040 --> 00:18:36,359 Speaker 1: the tenure or bonds in general, but you know, I 342 00:18:36,359 --> 00:18:38,320 Speaker 1: don't think rates have to go higher at all, and 343 00:18:38,359 --> 00:18:40,640 Speaker 1: I think they could go a little bit lower. All right, Josh, 344 00:18:40,640 --> 00:18:43,160 Speaker 1: thank you so much. We appreciate that. As always Josh 345 00:18:43,160 --> 00:18:45,840 Speaker 1: Way and he's a portfolio manager at Tennessee Funds giving 346 00:18:45,920 --> 00:18:49,479 Speaker 1: us his thoughts on the market. Uh. Here it remains 347 00:18:49,520 --> 00:18:52,880 Speaker 1: bullish here, but earnings coming in fast and furious will 348 00:18:52,880 --> 00:18:55,240 Speaker 1: continue next week. We had the banks this week, as 349 00:18:55,320 --> 00:18:58,000 Speaker 1: Josh mentioned, coming in pretty starn solid. But we're gonna 350 00:18:58,000 --> 00:19:00,520 Speaker 1: have some tech. We're gonna have some consumer names next 351 00:19:00,520 --> 00:19:04,000 Speaker 1: week that will continue the narrative on earnings and this market. 352 00:19:04,080 --> 00:19:10,760 Speaker 1: This is Bloomberg looking at Moderna here stock is up 353 00:19:10,840 --> 00:19:14,960 Speaker 1: nine point eight percent all time high four dollars. Uh 354 00:19:14,960 --> 00:19:17,320 Speaker 1: it's got sporting a market cap of a hundred and 355 00:19:17,359 --> 00:19:21,520 Speaker 1: fourteen billion dollars included today in the SMP five hundred, 356 00:19:21,760 --> 00:19:25,080 Speaker 1: of course, manufacturer of the Moderna vaccine, which has been 357 00:19:25,119 --> 00:19:28,800 Speaker 1: so successful for so many patients for this COVID. Let's 358 00:19:28,800 --> 00:19:30,880 Speaker 1: get a sense of what's going on at this company. 359 00:19:30,920 --> 00:19:34,320 Speaker 1: That's now you probably started the you know, two years ago, 360 00:19:34,359 --> 00:19:36,840 Speaker 1: nobody really knew about it. Now it's a household name. 361 00:19:37,160 --> 00:19:40,280 Speaker 1: John Murphy, he's a pharmaceutical analyst for Bloomberg Intelligence based 362 00:19:40,320 --> 00:19:43,840 Speaker 1: in London. He joins us, John, tell us about this company. 363 00:19:43,880 --> 00:19:46,720 Speaker 1: Give us a thirty thou foot overview of what this 364 00:19:46,760 --> 00:19:49,119 Speaker 1: company really is. We know it, as you know, a 365 00:19:49,160 --> 00:19:52,080 Speaker 1: manufacturer of a very effective vaccine. But give us a 366 00:19:52,080 --> 00:19:55,120 Speaker 1: sense of what this company is about. Sure, yeah, nice 367 00:19:55,119 --> 00:19:57,440 Speaker 1: to join you. Actually you summed it up very nice. 368 00:19:57,440 --> 00:19:59,399 Speaker 1: That we hadn't really heard about this company, had we 369 00:19:59,440 --> 00:20:02,399 Speaker 1: a couple of years ago. Now it has been around since, 370 00:20:03,480 --> 00:20:05,879 Speaker 1: but only came to the market in two thousand and eighteen, 371 00:20:05,960 --> 00:20:07,560 Speaker 1: and it was a I guess a bit of a 372 00:20:07,600 --> 00:20:09,960 Speaker 1: minnow then, although at the time it created a splash 373 00:20:10,040 --> 00:20:12,080 Speaker 1: because it's i p O was seven and a half billion, 374 00:20:12,200 --> 00:20:16,120 Speaker 1: so for a biotech that that was quite significant. So 375 00:20:16,440 --> 00:20:19,800 Speaker 1: M R and A based a vaccine focused looking at 376 00:20:19,840 --> 00:20:23,239 Speaker 1: a number of different infectious diseases. You could argue they 377 00:20:23,280 --> 00:20:25,080 Speaker 1: maybe got a little bit lucky or got a big 378 00:20:25,160 --> 00:20:27,440 Speaker 1: leg up when COVID came along, because clearly there was 379 00:20:27,480 --> 00:20:29,720 Speaker 1: a lot of cash that that came their way. But 380 00:20:29,800 --> 00:20:32,200 Speaker 1: they have for for a number of years been looking 381 00:20:32,240 --> 00:20:35,760 Speaker 1: at areas such as flu rs V, side of megalovirus, 382 00:20:36,119 --> 00:20:41,280 Speaker 1: so really looking to to develop a broad pipeline of 383 00:20:41,280 --> 00:20:44,760 Speaker 1: of vaccines in the anti infective space. And again, as 384 00:20:44,800 --> 00:20:48,120 Speaker 1: I said, they clearly benefited from COVID here in terms 385 00:20:48,200 --> 00:20:51,159 Speaker 1: of getting an acceleration in development. And I guess the 386 00:20:51,280 --> 00:20:54,119 Speaker 1: question now is after COVID, where do things go? That 387 00:20:54,320 --> 00:20:56,600 Speaker 1: is the question. What is the future for this company. 388 00:20:56,640 --> 00:20:59,320 Speaker 1: We had a great conversation earlier this week talking about 389 00:20:59,600 --> 00:21:03,000 Speaker 1: using at m R and a technology for cancer for HIV. 390 00:21:03,160 --> 00:21:06,760 Speaker 1: I mean, the hopes here are so high. Yeah, I 391 00:21:06,800 --> 00:21:09,159 Speaker 1: think you're exactly right now. And and you know what, 392 00:21:09,320 --> 00:21:12,400 Speaker 1: sometimes I think, um, and it's kind of natural that 393 00:21:12,480 --> 00:21:16,040 Speaker 1: when you see a new technology, expectations initially are high, 394 00:21:16,359 --> 00:21:19,080 Speaker 1: they get they then they get a little bit disappointed, 395 00:21:19,119 --> 00:21:21,720 Speaker 1: if you like, when when these high expectations aren't met. 396 00:21:21,760 --> 00:21:23,600 Speaker 1: And now we're kind of going up to that to 397 00:21:23,680 --> 00:21:25,959 Speaker 1: that peak again. So I think if you look at 398 00:21:25,960 --> 00:21:28,560 Speaker 1: the anti infective areas again, as I mentioned the lights 399 00:21:28,600 --> 00:21:31,920 Speaker 1: of flu, rs V, sites of megalovirus, these are probably 400 00:21:31,960 --> 00:21:34,879 Speaker 1: more realistic in the next three to five years to 401 00:21:34,960 --> 00:21:37,600 Speaker 1: see them come out with a product. I'm pretty long 402 00:21:37,600 --> 00:21:39,640 Speaker 1: in the tooth, and I can tell you twenty years 403 00:21:39,640 --> 00:21:42,680 Speaker 1: ago we were talking about cancer vaccines. We've not seen 404 00:21:42,720 --> 00:21:45,360 Speaker 1: them come through. I wouldn't be betting my money on 405 00:21:45,359 --> 00:21:49,040 Speaker 1: on cancer delivering something there. HIV again looks like a 406 00:21:49,040 --> 00:21:52,560 Speaker 1: pretty difficult area. But although maybe not not as not 407 00:21:52,640 --> 00:21:56,720 Speaker 1: a sexy, not as attractive rs V side of megalovirus, 408 00:21:56,760 --> 00:21:59,320 Speaker 1: these are five to ten billion dollar markets, so it's 409 00:21:59,320 --> 00:22:02,040 Speaker 1: a very very large from that perspective. All right, I'd 410 00:22:02,040 --> 00:22:05,040 Speaker 1: love to talk about the economics of the vaccine. I'm 411 00:22:05,040 --> 00:22:07,520 Speaker 1: looking at the f A function on the Bloomberg terminal, 412 00:22:07,520 --> 00:22:09,359 Speaker 1: which gives the income statement balance you all the good 413 00:22:09,400 --> 00:22:12,840 Speaker 1: stuff you would need for financial analysis on m r 414 00:22:13,080 --> 00:22:16,560 Speaker 1: n A, which is the MODERNA symbol. Eight hundred million 415 00:22:16,600 --> 00:22:22,680 Speaker 1: dollars in revenue in analysts estimate eighteen point six billion. 416 00:22:23,480 --> 00:22:25,840 Speaker 1: Is all of that the vaccine. Talked to us about 417 00:22:25,840 --> 00:22:28,920 Speaker 1: the economics for MODERNA of this vaccine. They're not given 418 00:22:28,920 --> 00:22:32,720 Speaker 1: it away, are they? It is all the vaccine. Yeah, 419 00:22:32,760 --> 00:22:35,960 Speaker 1: that that is essentially that is essentially a pent You're 420 00:22:35,960 --> 00:22:38,600 Speaker 1: absolutely that is the vaccine. And I think the big 421 00:22:38,680 --> 00:22:41,800 Speaker 1: question as well, because as you said in your introduction, 422 00:22:41,840 --> 00:22:43,359 Speaker 1: you've got you've got to stop. Here is a hundred 423 00:22:43,359 --> 00:22:46,480 Speaker 1: and fourteen hundred and fifteen billion dollar market cat what 424 00:22:46,640 --> 00:22:49,240 Speaker 1: is the sustainability of that income? So can we factor 425 00:22:49,280 --> 00:22:51,439 Speaker 1: into our numbers what it's going to do. Is it're 426 00:22:51,440 --> 00:22:53,960 Speaker 1: gonna do twenty billion again next year for example, give 427 00:22:54,040 --> 00:22:56,360 Speaker 1: or take the company says it can do, and then 428 00:22:56,400 --> 00:22:59,040 Speaker 1: what happens in a couple of years after that in 429 00:22:59,160 --> 00:23:02,840 Speaker 1: terms of in the to the actual the actual economics. 430 00:23:03,359 --> 00:23:05,919 Speaker 1: They don't release or tell you exactly what they're charging, 431 00:23:06,000 --> 00:23:10,080 Speaker 1: but you can estimate it's a shop here. Um. And 432 00:23:10,119 --> 00:23:13,000 Speaker 1: of course they're going to have some associated costs marketing costs, 433 00:23:13,040 --> 00:23:15,000 Speaker 1: they've got the R and D costs. But it's going 434 00:23:15,040 --> 00:23:19,080 Speaker 1: to be relatively profitable for them in the high income markets, certainly, 435 00:23:19,400 --> 00:23:21,480 Speaker 1: But like a lot of a lot of their competitors, 436 00:23:22,080 --> 00:23:24,880 Speaker 1: this is being provided at cost to the low income markets. 437 00:23:24,880 --> 00:23:28,200 Speaker 1: And Kovacs for example. You know, John, I'm smart enough 438 00:23:28,240 --> 00:23:30,280 Speaker 1: to know that I should not be going toe to 439 00:23:30,280 --> 00:23:33,640 Speaker 1: toe with Mr Paul Sweeney on level two income statement 440 00:23:33,760 --> 00:23:36,960 Speaker 1: analysis for the c f A. What I can ask you, though, 441 00:23:37,160 --> 00:23:39,959 Speaker 1: is take us away a little bit from fundamentals, and 442 00:23:40,440 --> 00:23:42,560 Speaker 1: you have a stock that's now included in the S 443 00:23:42,600 --> 00:23:46,480 Speaker 1: and P five hundred. What are you hearing from We 444 00:23:46,600 --> 00:23:49,920 Speaker 1: know their portfolios that track the S and P that 445 00:23:50,040 --> 00:23:52,399 Speaker 1: now have to buy the stock. How much of that 446 00:23:52,520 --> 00:23:55,280 Speaker 1: is also included in a move that's now up ten 447 00:23:55,840 --> 00:23:58,720 Speaker 1: on the day. Yeah, Now, I think I think you're 448 00:23:58,800 --> 00:24:01,639 Speaker 1: exactly right, and I think that's exactly what it should 449 00:24:01,680 --> 00:24:04,280 Speaker 1: be linked to today's move. I think we've seen it before, 450 00:24:04,640 --> 00:24:06,480 Speaker 1: because you get the fact that there's a number of 451 00:24:06,520 --> 00:24:10,000 Speaker 1: index passive funds. You've also got mutual funds, for example, 452 00:24:10,080 --> 00:24:13,040 Speaker 1: that index themselves against the SMP. And you guys have 453 00:24:13,160 --> 00:24:15,800 Speaker 1: no better than me. But I understand there's in excess 454 00:24:15,800 --> 00:24:19,240 Speaker 1: of ten trillion dollars that is index or benchmark to 455 00:24:19,280 --> 00:24:21,760 Speaker 1: the SMP. Now, not all of those have to go 456 00:24:21,800 --> 00:24:24,359 Speaker 1: out and buy the stock today. But again we've seen 457 00:24:24,359 --> 00:24:26,359 Speaker 1: it before. You get a spike for the first couple 458 00:24:26,400 --> 00:24:29,000 Speaker 1: of days, and then it normally settles down. Maybe with 459 00:24:29,119 --> 00:24:31,560 Speaker 1: Maderna because we've had this phenomenal run, maybe it doesn't 460 00:24:31,560 --> 00:24:34,240 Speaker 1: settle down as quickly, but that's what you that's certainly 461 00:24:34,240 --> 00:24:37,639 Speaker 1: what you do. Tend tend to see m r N 462 00:24:37,760 --> 00:24:40,720 Speaker 1: a technology that's now entered the lexicon for a lot 463 00:24:40,760 --> 00:24:43,720 Speaker 1: of people as we've kind of dealt through this pandemic. 464 00:24:44,119 --> 00:24:46,120 Speaker 1: Give us a sense of who the players are here 465 00:24:46,160 --> 00:24:49,800 Speaker 1: besides moderna And you know, is this is this something 466 00:24:49,840 --> 00:24:54,080 Speaker 1: that we need to pay attention to going forward, this technology? Yes, 467 00:24:54,240 --> 00:24:56,520 Speaker 1: I think that's a really important question, a great point 468 00:24:56,560 --> 00:24:58,639 Speaker 1: to bring up, and and the reason for that is 469 00:24:59,840 --> 00:25:01,639 Speaker 1: the was a lot of talk about this. There's a 470 00:25:01,640 --> 00:25:05,600 Speaker 1: lot of buzzwords go around in pharmaceuticals, in science, and 471 00:25:05,640 --> 00:25:08,240 Speaker 1: they talk about new technologies and what they're going to deliver, 472 00:25:08,320 --> 00:25:10,280 Speaker 1: and a lot of times there's a lot of a 473 00:25:10,320 --> 00:25:12,800 Speaker 1: lot of talk, but they don't tend to deliver. Now, 474 00:25:12,920 --> 00:25:15,240 Speaker 1: now this is absolutely not the case here. But we've 475 00:25:15,240 --> 00:25:18,800 Speaker 1: really got two leaders here. We've got Maderna on one side, 476 00:25:18,960 --> 00:25:21,760 Speaker 1: and we've got by on Tech, the German company with 477 00:25:21,800 --> 00:25:25,200 Speaker 1: whom Fiser is partnered. They're the two leaders. They're a 478 00:25:25,240 --> 00:25:27,520 Speaker 1: long way out, and it's interesting. There's a lot of 479 00:25:27,520 --> 00:25:31,240 Speaker 1: others and making moves or saying we want to get involved. 480 00:25:31,280 --> 00:25:33,560 Speaker 1: Fiser themselves that said they might start up their own 481 00:25:33,760 --> 00:25:36,360 Speaker 1: their own area. Glaxo had mentioned that, Santa Fe had 482 00:25:36,359 --> 00:25:39,359 Speaker 1: mentioned it, but it takes a number of years to 483 00:25:39,760 --> 00:25:42,760 Speaker 1: really get get to understand the technology and make the 484 00:25:42,800 --> 00:25:45,440 Speaker 1: appropriate investments. So at the moment these guys are out 485 00:25:45,480 --> 00:25:48,240 Speaker 1: on their own, how much of a lead, maybe four 486 00:25:48,280 --> 00:25:50,600 Speaker 1: to five years of the lead something like that. But 487 00:25:50,600 --> 00:25:52,919 Speaker 1: but clearly it's an area that is going to be 488 00:25:53,080 --> 00:25:58,320 Speaker 1: super important going forward for vaccines. Finally, just quickly here, 489 00:25:58,359 --> 00:26:00,919 Speaker 1: I'm thinking, what does this means? Are other sort of 490 00:26:00,920 --> 00:26:04,040 Speaker 1: biotech companies that are also racing along with Maderna and 491 00:26:04,160 --> 00:26:07,240 Speaker 1: and you sort of have these big pharmaceutical companies that 492 00:26:07,280 --> 00:26:10,280 Speaker 1: are making big bats on some of these unprofitable companies 493 00:26:10,320 --> 00:26:12,959 Speaker 1: at the time. But all they need is is one 494 00:26:13,000 --> 00:26:17,080 Speaker 1: big grand slam. Yeah, I'm a guess, and you know, 495 00:26:17,359 --> 00:26:19,760 Speaker 1: the drug companies, the investors, all of us, right, if 496 00:26:19,800 --> 00:26:21,640 Speaker 1: we're looking at things like that, if you can, if 497 00:26:21,680 --> 00:26:24,240 Speaker 1: you can pick out, pick out that grand slam. Absolutely, 498 00:26:24,280 --> 00:26:27,120 Speaker 1: and that's why a lot of companies are paying huge 499 00:26:27,119 --> 00:26:30,040 Speaker 1: amounts and some some cases people would say over paying 500 00:26:30,119 --> 00:26:34,000 Speaker 1: for the new technologies. It's not easy to be able 501 00:26:34,040 --> 00:26:36,960 Speaker 1: to pick out unfortunately. So I think this is great 502 00:26:37,000 --> 00:26:39,800 Speaker 1: for the sector going in today. It gets people to 503 00:26:39,840 --> 00:26:43,000 Speaker 1: focus on a sector that maybe they've not looked at before. Hey, John, 504 00:26:43,040 --> 00:26:45,359 Speaker 1: thanks so much for joining us. Really appreciate your insight 505 00:26:45,400 --> 00:26:49,200 Speaker 1: and expertise. John Murphy's a pharmaceutical analysts for Bloomberg Intelligence 506 00:26:49,240 --> 00:26:52,560 Speaker 1: based in London, giving us the latest on moderna. This 507 00:26:53,000 --> 00:26:56,600 Speaker 1: is Bloomberg. Thanks for listening to the Bloomberg Markets podcast. 508 00:26:57,000 --> 00:27:00,240 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 509 00:27:00,359 --> 00:27:04,240 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 510 00:27:04,280 --> 00:27:08,280 Speaker 1: on Twitter at Matt Miller three and I fall Sweeney. 511 00:27:08,320 --> 00:27:10,960 Speaker 1: I'm on Twitter at pt Sweeney. Before the podcast, you 512 00:27:10,960 --> 00:27:13,399 Speaker 1: can always catch us worldwide at Bloomberg Radio