1 00:00:00,840 --> 00:00:04,000 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:05,240 Speaker 1: my co host Matt Miller. 3 00:00:05,640 --> 00:00:09,600 Speaker 2: Every business day we bring you interviews from CEOs, market pros, 4 00:00:09,720 --> 00:00:13,600 Speaker 2: and Bloomberg experts, along with essential market moving news. 5 00:00:14,160 --> 00:00:17,279 Speaker 1: Find the Bloomberg Markets podcast called Apple Podcasts or wherever 6 00:00:17,400 --> 00:00:20,520 Speaker 1: you listen to podcasts, and at Bloomberg dot com slash podcast. 7 00:00:21,320 --> 00:00:23,520 Speaker 1: All right, let's check in with Gena Martin Adams because 8 00:00:23,520 --> 00:00:25,479 Speaker 1: we just got through and we're getting through a week 9 00:00:25,520 --> 00:00:28,560 Speaker 1: of a big, big time earnings here. Gina Martin Adams 10 00:00:28,640 --> 00:00:33,120 Speaker 1: joins as she's the chief US chief strategist for calling 11 00:00:33,159 --> 00:00:39,159 Speaker 1: all the markets equity markets for Bloomberg Intelligence. Gina again, another, 12 00:00:39,479 --> 00:00:42,160 Speaker 1: a great first half of the year, a good July 13 00:00:42,320 --> 00:00:45,440 Speaker 1: here for these markets. We're getting into earnings. As you 14 00:00:45,479 --> 00:00:47,440 Speaker 1: step back a little bit, how do you think about 15 00:00:47,440 --> 00:00:48,240 Speaker 1: these markets here? 16 00:00:49,360 --> 00:00:51,960 Speaker 3: Yeah, I think the markets have largely followed along with 17 00:00:52,000 --> 00:00:54,960 Speaker 3: earnings trends, believe it or not. Because when you exclude 18 00:00:54,960 --> 00:00:57,360 Speaker 3: the energy sector from the S and P five hundred, 19 00:00:57,400 --> 00:01:00,240 Speaker 3: it's important to keep in mind that energy is is 20 00:01:00,280 --> 00:01:02,520 Speaker 3: an input cost for most of the rest of the sector. 21 00:01:02,600 --> 00:01:04,840 Speaker 3: So we want to exclude the energy sector and what 22 00:01:04,959 --> 00:01:08,000 Speaker 3: we find is earnings trends are actually improving pretty materially 23 00:01:08,080 --> 00:01:09,840 Speaker 3: for the rest of the groups and the index, at 24 00:01:09,880 --> 00:01:12,640 Speaker 3: least relative to where they were last year, and that 25 00:01:12,720 --> 00:01:15,720 Speaker 3: improvement has been pretty continuous throughout twenty twenty three. At 26 00:01:15,760 --> 00:01:19,440 Speaker 3: the very least, earnings are much less bad than anyone 27 00:01:19,480 --> 00:01:22,679 Speaker 3: has anticipated for the groups that are outside of energy, 28 00:01:23,160 --> 00:01:26,760 Speaker 3: and that seems to be powering a pretty significant market advance. 29 00:01:27,440 --> 00:01:30,680 Speaker 4: And is that why to your point, powering this advance 30 00:01:30,720 --> 00:01:33,720 Speaker 4: that we've seen, we're investors already looking ahead and seeing 31 00:01:33,720 --> 00:01:37,080 Speaker 4: that improvement, especially when you were talking about Energy masking 32 00:01:37,120 --> 00:01:39,240 Speaker 4: those improvements. I know that when you're looking at the 33 00:01:39,280 --> 00:01:42,960 Speaker 4: earnings revision momentum data on your team. Michael Casper was 34 00:01:43,000 --> 00:01:45,320 Speaker 4: talking to me about how, particularly when you're looking at 35 00:01:45,360 --> 00:01:48,720 Speaker 4: discretionary in industrials, those were the two key groups that 36 00:01:48,760 --> 00:01:51,600 Speaker 4: were leading those growth downturns at the beginning of last year. 37 00:01:51,760 --> 00:01:54,120 Speaker 4: But now those are starting to be marked up highers, 38 00:01:54,160 --> 00:01:57,000 Speaker 4: so more of those cyclically oriented corners of the market. 39 00:01:57,320 --> 00:02:00,120 Speaker 4: Did investors already foresee that? And that's why we in 40 00:02:00,200 --> 00:02:03,120 Speaker 4: part saw that big rebound at the beginning of this year. 41 00:02:03,920 --> 00:02:06,600 Speaker 3: Yeah, I think what happened was by the end of 42 00:02:06,760 --> 00:02:10,680 Speaker 3: last year, investors were largely pricing a pretty significant recession 43 00:02:10,720 --> 00:02:13,880 Speaker 3: in earnings to continue throughout twenty twenty three. So remember 44 00:02:14,120 --> 00:02:17,440 Speaker 3: X Energy, we did see earnings start to crash really 45 00:02:17,480 --> 00:02:20,440 Speaker 3: throughout twenty twenty two. By the end of last year, 46 00:02:20,560 --> 00:02:23,000 Speaker 3: really all hope for any kind of rebound was gone 47 00:02:23,240 --> 00:02:26,600 Speaker 3: and investors were only anticipating that earnings would get worse. 48 00:02:27,280 --> 00:02:29,440 Speaker 3: But what we've seen so far this year is the 49 00:02:29,480 --> 00:02:33,120 Speaker 3: turn in inflation has been very, very consequential for turning 50 00:02:33,160 --> 00:02:36,280 Speaker 3: around the sentiment towards select industries and most of the 51 00:02:36,480 --> 00:02:38,600 Speaker 3: X energy industries in the S and S and P 52 00:02:38,720 --> 00:02:43,240 Speaker 3: five hundred. Last year, remember when inflation was accelerating very rapidly, 53 00:02:43,720 --> 00:02:47,680 Speaker 3: and producer prices in particular were accelerating extremely quickly relative 54 00:02:47,720 --> 00:02:51,680 Speaker 3: to consumer prices. Most US companies were experiencing some degree 55 00:02:51,680 --> 00:02:54,799 Speaker 3: of inflation distress. At the same time, it was very 56 00:02:54,840 --> 00:02:57,760 Speaker 3: clear that tech and tech like industries were over hired, 57 00:02:58,240 --> 00:03:00,720 Speaker 3: had too many employees relative to the haste of sales 58 00:03:00,720 --> 00:03:03,200 Speaker 3: growth that they were experiencing, and needed to write size 59 00:03:03,240 --> 00:03:06,079 Speaker 3: the ships. So we saw that occurred late last year. 60 00:03:06,200 --> 00:03:09,000 Speaker 3: Early this year we started to see inflation pressures ease 61 00:03:09,560 --> 00:03:11,920 Speaker 3: and the combination of those two things has resulted in 62 00:03:12,000 --> 00:03:15,640 Speaker 3: much better performance across the space. Some of the segments that, 63 00:03:15,760 --> 00:03:19,200 Speaker 3: as as you point out, are very sensitive to inflation, 64 00:03:19,480 --> 00:03:24,280 Speaker 3: like some of the consumer discretionary's, consumer staples, industrials, communications, 65 00:03:24,320 --> 00:03:28,919 Speaker 3: even healthcare companies, have experienced a great degree of inflation reprieve. 66 00:03:29,880 --> 00:03:32,000 Speaker 3: The result of that is likely to show up in 67 00:03:32,240 --> 00:03:35,080 Speaker 3: better earnings growth into later this year and into twenty 68 00:03:35,080 --> 00:03:38,080 Speaker 3: twenty four, and I think that is starting to get 69 00:03:38,080 --> 00:03:40,640 Speaker 3: embedded in prices. I would not say that this has 70 00:03:40,680 --> 00:03:44,480 Speaker 3: been anticipated. I think that most investors are still quite 71 00:03:44,480 --> 00:03:47,760 Speaker 3: skeptical with respect to the macro outlook. Most investors are 72 00:03:47,760 --> 00:03:50,119 Speaker 3: looking at top line growth and very concerned about where 73 00:03:50,120 --> 00:03:53,240 Speaker 3: the economy is headed. But what's happening beneath the top 74 00:03:53,280 --> 00:03:56,040 Speaker 3: line is very very important and consequential their earnings trends. 75 00:03:56,040 --> 00:03:57,920 Speaker 3: And I think that's been the lesson of twenty twenty three. 76 00:03:58,520 --> 00:04:00,560 Speaker 1: Hey, Gina, I'm just looking at the SP five hundred 77 00:04:00,560 --> 00:04:04,040 Speaker 1: and off of the October low. We're up almost twenty 78 00:04:04,080 --> 00:04:06,760 Speaker 1: eight percent. Yeah, is that a bull market that I 79 00:04:06,960 --> 00:04:08,400 Speaker 1: just haven't been talking about. 80 00:04:09,280 --> 00:04:11,839 Speaker 3: Yeah, it's a great point. We actually did some work 81 00:04:11,880 --> 00:04:14,880 Speaker 3: on this this week. That gain from the October low 82 00:04:14,920 --> 00:04:18,880 Speaker 3: to date retraces seventy six more than seventy six percent 83 00:04:19,000 --> 00:04:21,479 Speaker 3: of the peak to trap decline. When we look back 84 00:04:21,480 --> 00:04:24,240 Speaker 3: in history and we look at all bear markets, that is, 85 00:04:24,400 --> 00:04:26,359 Speaker 3: all times the S and P five hundred has dropped 86 00:04:26,360 --> 00:04:29,640 Speaker 3: at least twenty percent, we look at those points in 87 00:04:29,680 --> 00:04:32,080 Speaker 3: time in which the SMP started to recover, and a 88 00:04:32,120 --> 00:04:35,080 Speaker 3: seventy six percent retracement of the peak to trough decline 89 00:04:35,080 --> 00:04:38,839 Speaker 3: after every single bear market since history, in US history 90 00:04:38,880 --> 00:04:43,240 Speaker 3: since nineteen twenty nine, suggests that that critical level never 91 00:04:43,320 --> 00:04:44,159 Speaker 3: gets broken again. 92 00:04:44,400 --> 00:04:44,560 Speaker 5: Right. 93 00:04:44,960 --> 00:04:47,240 Speaker 3: What we actually find is over the next year, a 94 00:04:47,360 --> 00:04:50,919 Speaker 3: role market continues. It is a critical marker for a 95 00:04:50,960 --> 00:04:53,120 Speaker 3: continuation of the bull market. You just don't see a 96 00:04:53,160 --> 00:04:56,600 Speaker 3: seventy six percent retracement and then a retest of new 97 00:04:56,680 --> 00:04:59,320 Speaker 3: lows or retest of those foam or former lows within 98 00:04:59,360 --> 00:05:02,720 Speaker 3: the next year. So, you know, our work would suggest 99 00:05:02,920 --> 00:05:06,560 Speaker 3: very consistently the degree to which we've rebounded is a 100 00:05:06,680 --> 00:05:10,520 Speaker 3: very bullish marker, at least historically. Now, you know, every 101 00:05:10,520 --> 00:05:12,520 Speaker 3: time there's a chance that this time is different. The 102 00:05:12,560 --> 00:05:14,760 Speaker 3: one thing that is different this time is the lack 103 00:05:14,800 --> 00:05:18,039 Speaker 3: of recovery in small caps the other thing we've never 104 00:05:18,120 --> 00:05:21,279 Speaker 3: seen in US history is small caps recover so little 105 00:05:21,839 --> 00:05:24,640 Speaker 3: of their peak to trough decline while large caps are 106 00:05:24,680 --> 00:05:28,000 Speaker 3: recovering so much. So we want to watch small caps 107 00:05:28,040 --> 00:05:30,080 Speaker 3: really carefully because I do think that that is an 108 00:05:30,160 --> 00:05:32,000 Speaker 3: area of risk in the market. If we can't get 109 00:05:32,000 --> 00:05:34,880 Speaker 3: some participation from small caps, we can't get that positive 110 00:05:34,880 --> 00:05:38,840 Speaker 3: signal out of small caps continuing to turn a bit higher, 111 00:05:39,360 --> 00:05:41,200 Speaker 3: we could be in for a rocky road ahead. 112 00:05:41,560 --> 00:05:45,159 Speaker 4: And Gina, you've written about recently about how this sort 113 00:05:45,200 --> 00:05:48,520 Speaker 4: of gloom coming into this year about the economy is 114 00:05:48,560 --> 00:05:51,000 Speaker 4: really a distraction when you're thinking about from the point 115 00:05:51,000 --> 00:05:54,520 Speaker 4: of view from an equity perspective, in what it means 116 00:05:54,520 --> 00:05:57,800 Speaker 4: when you're looking more towards what corporate America is signaling 117 00:05:57,800 --> 00:06:01,159 Speaker 4: on the profit outlook. Why do you think this typically 118 00:06:01,360 --> 00:06:03,800 Speaker 4: continues to happen when you look back at history and 119 00:06:03,839 --> 00:06:07,760 Speaker 4: potentially even just be a losing strategy for investors if 120 00:06:07,800 --> 00:06:10,640 Speaker 4: they're obsessing over what the timing could be on a 121 00:06:10,680 --> 00:06:13,040 Speaker 4: recession when all of a sudden, especially like you were 122 00:06:13,040 --> 00:06:16,400 Speaker 4: talking about energy excluded from s and P five hundred 123 00:06:16,440 --> 00:06:18,239 Speaker 4: outlook really improving moving forward. 124 00:06:18,880 --> 00:06:21,240 Speaker 3: Yeah, And this is I think is so key for 125 00:06:21,320 --> 00:06:24,120 Speaker 3: investors to really understand, and we were reminded of this 126 00:06:24,240 --> 00:06:28,000 Speaker 3: all year this year. The economy and the earning stream 127 00:06:28,080 --> 00:06:30,560 Speaker 3: are not the same thing, and stocks trade on earnings 128 00:06:30,640 --> 00:06:34,279 Speaker 3: and the outlook for earnings. Very clearly, we've seen earnings 129 00:06:34,320 --> 00:06:37,560 Speaker 3: growth come in much better than anticipated, like I said, 130 00:06:37,640 --> 00:06:42,039 Speaker 3: less bad than anticipated, but frankly, earnings have improved considerably 131 00:06:42,080 --> 00:06:44,840 Speaker 3: relative to what was priced in the equity market late 132 00:06:44,920 --> 00:06:48,880 Speaker 3: last year. And that is really important because the economists 133 00:06:48,880 --> 00:06:51,320 Speaker 3: are still thinking, well, we are going to we may 134 00:06:51,440 --> 00:06:54,480 Speaker 3: scaze by without falling into recession, but there's still a 135 00:06:54,520 --> 00:06:57,640 Speaker 3: lot of chatter about the macro outlook. Many people are 136 00:06:57,680 --> 00:07:00,279 Speaker 3: still really wringing their hands over what's going to happened 137 00:07:00,320 --> 00:07:03,560 Speaker 3: in the economy, and that really kind of misses the point, 138 00:07:03,720 --> 00:07:08,160 Speaker 3: because there just is there are commonalities, certainly, and if 139 00:07:08,160 --> 00:07:10,760 Speaker 3: the economy does fall into recession, there will be pain 140 00:07:10,800 --> 00:07:13,960 Speaker 3: points in the earning stream that emerge. But for now, 141 00:07:14,120 --> 00:07:16,679 Speaker 3: what is important is that margins appear to have formed 142 00:07:16,680 --> 00:07:19,080 Speaker 3: a bottom. They're starting to improve a little bit here. 143 00:07:19,600 --> 00:07:22,560 Speaker 3: We seem to be stable enough in the economy to 144 00:07:22,600 --> 00:07:26,600 Speaker 3: create some stability in the top line revenue for the index. 145 00:07:26,680 --> 00:07:29,800 Speaker 3: We're always on guard for something to change. But those 146 00:07:29,840 --> 00:07:31,960 Speaker 3: earnings are what really drives stock prices, and I think 147 00:07:31,960 --> 00:07:35,240 Speaker 3: this is so important. You know, the even the percentage 148 00:07:35,280 --> 00:07:38,520 Speaker 3: share of industries impact on the equity market is so 149 00:07:38,760 --> 00:07:42,440 Speaker 3: very different than the percentage share of those industries' impact 150 00:07:42,520 --> 00:07:45,680 Speaker 3: on the economy at large that trying to use the 151 00:07:45,720 --> 00:07:49,200 Speaker 3: economy as a forecasting tool for the market proves to 152 00:07:49,240 --> 00:07:51,080 Speaker 3: be a really dicey business. 153 00:07:51,600 --> 00:07:53,160 Speaker 1: All right, Gina, it looks like we're back in the 154 00:07:53,200 --> 00:07:55,960 Speaker 1: business focusing on earnings, maybe a little bit less so 155 00:07:56,200 --> 00:07:58,760 Speaker 1: on the FED. And that's a good thing because maybe 156 00:07:58,760 --> 00:08:02,120 Speaker 1: we get some earnings momentum here, Gina. Martin Adams, chief 157 00:08:02,160 --> 00:08:05,480 Speaker 1: equity strategist for Bloomberg Intelligence, joining us, giving us a 158 00:08:05,520 --> 00:08:07,400 Speaker 1: great overview of the market as we kind of pour 159 00:08:07,520 --> 00:08:11,320 Speaker 1: through these earnings, you know, really kicking in this week 160 00:08:11,360 --> 00:08:13,560 Speaker 1: in size, including today and then well through the next 161 00:08:13,560 --> 00:08:14,200 Speaker 1: couple of weeks. 162 00:08:14,240 --> 00:08:15,400 Speaker 6: So maybe a. 163 00:08:15,400 --> 00:08:18,080 Speaker 1: Little bit better than expected outlook on earnings, just what 164 00:08:18,120 --> 00:08:18,880 Speaker 1: to see how comes in? 165 00:08:19,280 --> 00:08:22,000 Speaker 4: And you brought up the Dow Jones industrial average actually 166 00:08:22,040 --> 00:08:24,600 Speaker 4: heading in today. It had been up for eight consecutive sessions. 167 00:08:24,680 --> 00:08:27,400 Speaker 4: It was as long as winning streak in about four years, 168 00:08:27,480 --> 00:08:30,800 Speaker 4: and so heading for potentially a ninth consecutive session for 169 00:08:30,920 --> 00:08:32,640 Speaker 4: also looking at more of those sickle co oriented and 170 00:08:32,640 --> 00:08:33,480 Speaker 4: pores in the market. 171 00:08:33,720 --> 00:08:36,040 Speaker 1: Yeah, I'd like to see that, And Gina suggested that's 172 00:08:36,040 --> 00:08:37,200 Speaker 1: a good thing to see a little bit of a 173 00:08:37,240 --> 00:08:38,720 Speaker 1: broadening out from the tech. 174 00:08:38,800 --> 00:08:42,319 Speaker 7: So that's good. You're listening to the team. Ken's a 175 00:08:42,480 --> 00:08:46,160 Speaker 7: live program Bloomberg Markets weekdays at ten am Eastern on 176 00:08:46,200 --> 00:08:50,000 Speaker 7: Bloomberg dot com, the iHeartRadio app and the Bloomberg Business App, 177 00:08:50,200 --> 00:08:52,840 Speaker 7: or listen on demand wherever you get your podcasts. 178 00:08:54,480 --> 00:08:57,280 Speaker 1: Let's talk about earnings here, and let's talk about healthcare earnings. 179 00:08:57,720 --> 00:08:59,640 Speaker 1: We can do that with Ann Hines. She's from a 180 00:08:59,679 --> 00:09:03,640 Speaker 1: Zoo America's she's a managing director and senior healthcare services 181 00:09:03,800 --> 00:09:07,200 Speaker 1: equity analysts there. And thanks so much for joining us 182 00:09:07,360 --> 00:09:10,800 Speaker 1: via the phone here healthcare services, give us a sense 183 00:09:10,840 --> 00:09:14,079 Speaker 1: of about how this group has traded over the last 184 00:09:14,360 --> 00:09:17,079 Speaker 1: couple of years. Just give us a sense how investors 185 00:09:17,080 --> 00:09:20,880 Speaker 1: and how you position the healthcare services providers out there 186 00:09:20,920 --> 00:09:21,880 Speaker 1: to investors. 187 00:09:22,760 --> 00:09:25,240 Speaker 6: Sure, I would say this group has traded. 188 00:09:25,520 --> 00:09:29,440 Speaker 5: It's a tale of two groups mainly managed here in hospitals, 189 00:09:30,080 --> 00:09:34,520 Speaker 5: and it's really based on utilization remember during COVID baseline 190 00:09:34,600 --> 00:09:38,800 Speaker 5: utilization that's what everyone refers to. Healthcare utilization before COVID 191 00:09:39,520 --> 00:09:43,000 Speaker 5: was really below pre pandemic levels. And if you even 192 00:09:43,160 --> 00:09:45,400 Speaker 5: go even further, if you do it by payer mix, 193 00:09:45,440 --> 00:09:49,800 Speaker 5: whether it's commercial, whether it's Medicare advantage, whether it's Medicaid. 194 00:09:50,400 --> 00:09:55,640 Speaker 5: Definitely Medicare advantage, and Medicaid beneficiaries were not seeking care, 195 00:09:55,760 --> 00:09:56,520 Speaker 5: they didn't want to. 196 00:09:56,440 --> 00:09:57,319 Speaker 6: Go to the hospital. 197 00:09:57,880 --> 00:10:00,800 Speaker 5: Now we get to twenty twenty three and it's probably 198 00:10:00,800 --> 00:10:03,760 Speaker 5: the first year since the pandemic that trends and normal 199 00:10:04,160 --> 00:10:06,800 Speaker 5: people are going back to get to the doctors. 200 00:10:06,840 --> 00:10:07,680 Speaker 6: They're going back. 201 00:10:07,559 --> 00:10:11,280 Speaker 5: To get elective procedures, hip proscedures, things that they really 202 00:10:11,320 --> 00:10:15,320 Speaker 5: postponed during the pandemic. That's really good for any provider, 203 00:10:15,480 --> 00:10:22,080 Speaker 5: so HGA, big hospital companies, Tenant, Universal Surgery Partners. You know, 204 00:10:22,120 --> 00:10:25,160 Speaker 5: I don't came a medtech but meta companies, any company 205 00:10:25,160 --> 00:10:28,000 Speaker 5: that provides healthcare. It's been a little bit more difficult 206 00:10:28,000 --> 00:10:31,280 Speaker 5: for managed care companies this earning season, especially managed care 207 00:10:31,280 --> 00:10:35,679 Speaker 5: companies that have exposure to Medicare because it's the Medicare beneficiaries, 208 00:10:36,040 --> 00:10:38,959 Speaker 5: they tend to use the system more and they were 209 00:10:39,000 --> 00:10:40,920 Speaker 5: the ones that really didn't want to go into the 210 00:10:40,960 --> 00:10:45,160 Speaker 5: system during the pandemic, So we're seeing increased utilization which 211 00:10:45,200 --> 00:10:47,920 Speaker 5: is really heard in the stocks here to date, whereas 212 00:10:47,920 --> 00:10:50,520 Speaker 5: you have the hospital providers that are really outperforming. 213 00:10:51,000 --> 00:10:53,520 Speaker 4: And to your point, I mean looking at stocks like 214 00:10:54,040 --> 00:10:58,840 Speaker 4: Humanity ticker symbol HUM that's down about thirteen percent year 215 00:10:58,880 --> 00:11:03,080 Speaker 4: to date. Also looking over at what's happening with un AH, 216 00:11:03,200 --> 00:11:05,640 Speaker 4: also down about five percent, but the other side of 217 00:11:05,679 --> 00:11:09,440 Speaker 4: that HCA Healthcare that's up about twenty percent, and then 218 00:11:09,600 --> 00:11:14,199 Speaker 4: Tenant Healthcare looking at that ticker symbol THC up almost 219 00:11:14,240 --> 00:11:17,320 Speaker 4: sixty percent. How much longer do you think when we're 220 00:11:17,320 --> 00:11:20,080 Speaker 4: looking at those types of stocks like Tenant and then 221 00:11:20,200 --> 00:11:23,400 Speaker 4: also when it comes to HCA, how long and how 222 00:11:23,480 --> 00:11:25,400 Speaker 4: much more room it could have for those stocks to 223 00:11:25,480 --> 00:11:26,440 Speaker 4: keep moving higher. 224 00:11:27,720 --> 00:11:30,240 Speaker 5: I would argue there is room to move higher for 225 00:11:30,280 --> 00:11:34,000 Speaker 5: two reasons. One earnings, and I like to prefer the 226 00:11:34,080 --> 00:11:38,280 Speaker 5: baseline earnings pre pandemic ex COVID. They are still hampered 227 00:11:38,320 --> 00:11:40,880 Speaker 5: because of labor costs. So to put it in perspective, 228 00:11:41,559 --> 00:11:44,599 Speaker 5: before the pandemic, HDA has been about nine hundred and 229 00:11:44,679 --> 00:11:47,600 Speaker 5: ninety million on temporary labor and at the height of 230 00:11:47,600 --> 00:11:50,440 Speaker 5: the pandemic, the company has been two point five billion. 231 00:11:50,840 --> 00:11:54,520 Speaker 5: That's a twelve percent EBITA headwind, a headwind to EBITA, 232 00:11:55,080 --> 00:11:57,640 Speaker 5: and if you annualize the last quarter, it's still a 233 00:11:57,720 --> 00:11:59,520 Speaker 5: two billion, so it's very elevated. 234 00:11:59,640 --> 00:12:02,520 Speaker 6: So there's there's a lot of drivers for upside. 235 00:12:02,720 --> 00:12:06,560 Speaker 5: For a company like HGA and Tenant because temporary labor 236 00:12:06,679 --> 00:12:10,080 Speaker 5: is coming down slowly, but it's coming down. And then 237 00:12:10,120 --> 00:12:13,080 Speaker 5: you also have this pent up demand utilization that's coming 238 00:12:13,120 --> 00:12:15,720 Speaker 5: back to the system. And if you look at Medicare, 239 00:12:16,000 --> 00:12:19,240 Speaker 5: they were I would say you have probably a two 240 00:12:19,320 --> 00:12:23,320 Speaker 5: year window of people catching up with procedures that they 241 00:12:23,320 --> 00:12:24,560 Speaker 5: didn't do during the pandemic. 242 00:12:26,080 --> 00:12:28,800 Speaker 1: So as you talk to your institution, investor, clients, and 243 00:12:28,840 --> 00:12:31,040 Speaker 1: what are the topics that come up the most, what 244 00:12:31,120 --> 00:12:34,520 Speaker 1: do you find yourself explaining or you know, kind of 245 00:12:34,559 --> 00:12:35,640 Speaker 1: discussing with your clients. 246 00:12:36,400 --> 00:12:37,239 Speaker 6: I'm utilization. 247 00:12:37,400 --> 00:12:41,360 Speaker 5: So it's all about healthcare utilization, but also pricing what 248 00:12:41,600 --> 00:12:44,920 Speaker 5: managed care companies price into their bids for twenty twenty 249 00:12:44,960 --> 00:12:48,440 Speaker 5: four and did capture this utilization. I think all the 250 00:12:48,480 --> 00:12:51,040 Speaker 5: companies expected utilization. 251 00:12:50,559 --> 00:12:51,360 Speaker 6: To come back. 252 00:12:51,840 --> 00:12:53,960 Speaker 5: I think they probably expected it to come back more 253 00:12:54,000 --> 00:12:58,160 Speaker 5: over twenty twenty three twenty twenty four in twenty twenty five, 254 00:12:58,280 --> 00:13:01,760 Speaker 5: and a reason for that is nursing is an issue. 255 00:13:01,880 --> 00:13:03,439 Speaker 6: A lot of nurses left the field. 256 00:13:04,120 --> 00:13:06,880 Speaker 5: It caused capacity constraints, and I think what we're seeing 257 00:13:06,880 --> 00:13:11,040 Speaker 5: in twenty twenty three is more capacity opening that people 258 00:13:11,080 --> 00:13:14,920 Speaker 5: probably expected. So I would think that's the main thing. 259 00:13:15,000 --> 00:13:17,800 Speaker 5: And to your question, how long can the hospitals run? 260 00:13:18,200 --> 00:13:21,640 Speaker 5: And I would argue companies that have earning upside, they 261 00:13:21,720 --> 00:13:22,920 Speaker 5: usually go up and not down. 262 00:13:24,080 --> 00:13:26,320 Speaker 1: So just so on the on the labor front, I 263 00:13:26,320 --> 00:13:28,480 Speaker 1: mean at granted, I mean you just think back to 264 00:13:28,520 --> 00:13:31,680 Speaker 1: the pandemic and the conditions under which all the healthcare 265 00:13:31,720 --> 00:13:34,400 Speaker 1: providers had to operate. I mean they're just you know, saints, 266 00:13:34,440 --> 00:13:37,400 Speaker 1: every one of them. But as you mentioned, a high 267 00:13:37,480 --> 00:13:40,920 Speaker 1: toll on turnover in that space. So is this an 268 00:13:40,920 --> 00:13:45,560 Speaker 1: industry that just chronically is short on nurses and maybe 269 00:13:45,559 --> 00:13:48,080 Speaker 1: to lesser extent, doctors. Is that something that's kind of 270 00:13:48,080 --> 00:13:50,880 Speaker 1: a chronic issue for the industry to a. 271 00:13:50,960 --> 00:13:55,079 Speaker 5: Agree, But what happened during the pandemic is that you 272 00:13:55,120 --> 00:13:57,240 Speaker 5: have what we have a permanent nurse, a permanent nurse 273 00:13:57,280 --> 00:13:59,960 Speaker 5: that obvious works full time, and then you have nurse 274 00:14:00,200 --> 00:14:02,800 Speaker 5: who like to travel they get paid a little bit 275 00:14:03,520 --> 00:14:05,360 Speaker 5: a little bit more on an hour, but they tend 276 00:14:05,400 --> 00:14:07,679 Speaker 5: to travel. And what happened during the pandemic there was 277 00:14:07,720 --> 00:14:11,320 Speaker 5: such a high demand, you had this phenomena that permanent 278 00:14:11,400 --> 00:14:16,360 Speaker 5: nurses went temporary to get the higher hourly rage. Like 279 00:14:16,400 --> 00:14:19,680 Speaker 5: to primitent perspective, a nurse might make fifty dollars an hour, 280 00:14:19,840 --> 00:14:22,880 Speaker 5: but at the height pandemic, they were making. 281 00:14:22,680 --> 00:14:24,000 Speaker 6: Two hundred and fifty dollars an hour. 282 00:14:24,400 --> 00:14:26,360 Speaker 5: I think what we're seeing is that some of these 283 00:14:26,440 --> 00:14:29,440 Speaker 5: nurses that left their permanent position, they're coming back to 284 00:14:29,720 --> 00:14:34,560 Speaker 5: full time positions in the workforce. But there's also a 285 00:14:34,640 --> 00:14:37,840 Speaker 5: part that the average age of the nurses about fifty. 286 00:14:38,600 --> 00:14:41,480 Speaker 5: Maybe that nurse is working less hours, less shifts. 287 00:14:42,080 --> 00:14:43,760 Speaker 6: So it's a combination of both. 288 00:14:45,480 --> 00:14:47,760 Speaker 4: And to Ball's point, because he was asking about some 289 00:14:47,800 --> 00:14:50,600 Speaker 4: of the top questions you're getting, what about the top 290 00:14:50,680 --> 00:14:54,280 Speaker 4: concerns among some of your clients as far as what 291 00:14:54,320 --> 00:14:57,000 Speaker 4: this could mean as far as the outlook moving forward. 292 00:14:57,960 --> 00:15:00,680 Speaker 5: I would say the top concerns, like get is on 293 00:15:00,760 --> 00:15:03,760 Speaker 5: the managed care sector because they have a few headwinds 294 00:15:03,800 --> 00:15:07,640 Speaker 5: coming up. There's some changes to Medicare reimbursement that would 295 00:15:07,760 --> 00:15:10,880 Speaker 5: impact Medicare advantage plans, and the big thing is all 296 00:15:10,880 --> 00:15:14,400 Speaker 5: also Medicaid we determinations because I'm sure you know the 297 00:15:14,440 --> 00:15:17,680 Speaker 5: Medicaid rolls to well during the pandemic. Because of the 298 00:15:17,680 --> 00:15:21,160 Speaker 5: public health emergency, states would not allow to redetermine anyone 299 00:15:21,160 --> 00:15:24,360 Speaker 5: on Medicaid and that ended in April, and over the 300 00:15:24,400 --> 00:15:27,160 Speaker 5: next twelve to fourteen months, states will be rolling. 301 00:15:28,520 --> 00:15:30,880 Speaker 6: Beneficiary is off. And that just causes a. 302 00:15:30,840 --> 00:15:33,040 Speaker 5: Lot of uncertainty with numbers because a lot of these 303 00:15:33,040 --> 00:15:36,720 Speaker 5: companies didn't benefit benefit from the public health emergency. 304 00:15:37,640 --> 00:15:40,520 Speaker 1: All right, and top picks, what are you talking to 305 00:15:40,560 --> 00:15:43,760 Speaker 1: your clients about? What do you like right here going forward? 306 00:15:44,640 --> 00:15:46,800 Speaker 5: So I would say a top pick on the managed 307 00:15:46,840 --> 00:15:50,200 Speaker 5: care side are Signa and Elevance and singing that for 308 00:15:50,280 --> 00:15:52,960 Speaker 5: two reasons. One, they don't have a lot of Medicare 309 00:15:52,960 --> 00:15:56,760 Speaker 5: advantage exposure, so a lot of the changes to reimbursement's 310 00:15:56,800 --> 00:15:58,600 Speaker 5: not going to impact them. And they also don't have 311 00:15:58,760 --> 00:16:02,600 Speaker 5: a lot of Medicaid determined exposure. So the two biggest 312 00:16:02,640 --> 00:16:04,280 Speaker 5: worries in the managecure sector they don't. 313 00:16:04,160 --> 00:16:05,120 Speaker 6: Have a lot of exposure to. 314 00:16:05,680 --> 00:16:08,120 Speaker 5: There is some risk with PBM legislation, but I would 315 00:16:08,200 --> 00:16:12,240 Speaker 5: argue that's already based in valuation at about ten times 316 00:16:12,240 --> 00:16:13,680 Speaker 5: twenty twenty four earnings. 317 00:16:14,680 --> 00:16:15,440 Speaker 6: I also like. 318 00:16:15,520 --> 00:16:18,760 Speaker 5: I still like HGA, just because despite the run, there 319 00:16:18,840 --> 00:16:20,920 Speaker 5: is a lot of upside to earnings in my opinion 320 00:16:21,520 --> 00:16:23,680 Speaker 5: for twenty twenty three and twenty twenty four. 321 00:16:24,000 --> 00:16:27,840 Speaker 4: And when you're talking about legislation, are there anything in 322 00:16:27,880 --> 00:16:30,760 Speaker 4: particular coming up on Capitol Hill that you think infesstors 323 00:16:30,760 --> 00:16:32,960 Speaker 4: should keep their eyes on when it comes to potential 324 00:16:33,160 --> 00:16:35,680 Speaker 4: maybe regulations that could affect some of these companies. 325 00:16:36,680 --> 00:16:41,880 Speaker 5: Yes, so Congress wants to pass PPM legislation that has 326 00:16:41,920 --> 00:16:46,280 Speaker 5: that will result in increased regulatory scrutiny on the PBM. 327 00:16:46,440 --> 00:16:49,880 Speaker 5: So companies with the biggest exposure would be United Healthcare 328 00:16:50,560 --> 00:16:55,360 Speaker 5: CBS and Signa that's pretty well known. But the question 329 00:16:55,440 --> 00:16:57,880 Speaker 5: is that if there's going to be a legislative vehicle. 330 00:16:58,440 --> 00:17:01,239 Speaker 5: I believe there will be a legislator vehicle in December. 331 00:17:01,560 --> 00:17:04,639 Speaker 5: And I'm also a believer that this has been a 332 00:17:04,680 --> 00:17:07,000 Speaker 5: headline of us for a long time, and I think 333 00:17:07,040 --> 00:17:11,000 Speaker 5: any type of legislation that passes will have not going 334 00:17:11,000 --> 00:17:13,200 Speaker 5: to walk to twenty twenty six, which will allow these 335 00:17:13,200 --> 00:17:18,080 Speaker 5: PBMs to change language and their contracts. So when all 336 00:17:18,080 --> 00:17:19,960 Speaker 5: of a sudden done. I actually don't think it will 337 00:17:19,960 --> 00:17:22,440 Speaker 5: have a meaningful impact on EPs, and it should remove 338 00:17:22,440 --> 00:17:25,320 Speaker 5: a headline risk and we should get more details on that, 339 00:17:25,440 --> 00:17:27,880 Speaker 5: but not until December. But that's the major thing because 340 00:17:27,920 --> 00:17:31,000 Speaker 5: typically in healthcare, when there's a balance of power in Washington, 341 00:17:31,560 --> 00:17:33,679 Speaker 5: not a lot of healthcare legislation is passed. 342 00:17:34,520 --> 00:17:37,479 Speaker 1: And just about thirty seconds here, drug distributors, you're neutral 343 00:17:37,520 --> 00:17:40,280 Speaker 1: on that group? Why really? 344 00:17:40,480 --> 00:17:41,000 Speaker 6: Valuation? 345 00:17:41,119 --> 00:17:43,640 Speaker 5: They've had a great run for a long time and 346 00:17:44,520 --> 00:17:48,600 Speaker 5: they're reaching their ten year highs. Earnings visibility is very good. 347 00:17:49,359 --> 00:17:51,399 Speaker 5: But I do think it's a crowded sector. It's a 348 00:17:51,400 --> 00:17:53,480 Speaker 5: sector that a lot of journalists went in over the 349 00:17:53,480 --> 00:17:55,560 Speaker 5: past couple of years when there was a lot of 350 00:17:56,280 --> 00:17:59,000 Speaker 5: uncertainty in the market. But they are great companies and 351 00:17:59,000 --> 00:18:00,520 Speaker 5: it's more valuation anything. 352 00:18:00,680 --> 00:18:02,399 Speaker 1: All right, And thanks so much for giving us some 353 00:18:02,400 --> 00:18:05,840 Speaker 1: of your time. An Heinz's senior healthcare Services Equity. An 354 00:18:06,040 --> 00:18:07,880 Speaker 1: she's a managinging director over at Mizuho. 355 00:18:08,240 --> 00:18:11,359 Speaker 7: You're listening to the tape. Cat's are live program Bloomberg 356 00:18:11,440 --> 00:18:15,000 Speaker 7: Markets weekdays at ten am Eastern on Bloomberg Radio, the 357 00:18:15,080 --> 00:18:18,320 Speaker 7: tune in app, Bloomberg Dot com and the Bloomberg Business App. 358 00:18:18,359 --> 00:18:21,159 Speaker 7: You can also listen live on Amazon Alexa from our 359 00:18:21,160 --> 00:18:26,240 Speaker 7: flagship New York station. Just say Alexa play Bloomberg eleven thirty. 360 00:18:27,320 --> 00:18:29,680 Speaker 4: We want to switch things up for our next segment 361 00:18:29,800 --> 00:18:34,040 Speaker 4: and do an energy outlook. And I'm excited because we 362 00:18:34,200 --> 00:18:39,040 Speaker 4: do have in studio here Jonathan Maxwell, who's CEO at 363 00:18:39,119 --> 00:18:42,840 Speaker 4: Sustainable Development Capital, who's joining us to discuss the outlook 364 00:18:42,880 --> 00:18:46,840 Speaker 4: on oil and the renewable energy markets, particularly with the 365 00:18:46,880 --> 00:18:50,040 Speaker 4: growth of tessel this year in the emergence of v evs. 366 00:18:50,160 --> 00:18:52,320 Speaker 4: But before I actually get into that, I have to 367 00:18:52,400 --> 00:18:57,520 Speaker 4: ask you about Ukraine. And we're seeing wheat prices soaring today. 368 00:18:57,600 --> 00:18:59,760 Speaker 4: It's actually their three day gain is more than ten 369 00:18:59,760 --> 00:19:02,280 Speaker 4: per after the US did warn that Russia has laid 370 00:19:02,359 --> 00:19:05,800 Speaker 4: mines at Ukrainian grain ports. Now you've written a book 371 00:19:05,880 --> 00:19:09,320 Speaker 4: recently tied to Ukraine. What's your take on this and 372 00:19:09,359 --> 00:19:11,280 Speaker 4: how does this mean in what does it mean for 373 00:19:11,320 --> 00:19:12,800 Speaker 4: the energy and commodity space. 374 00:19:13,200 --> 00:19:17,159 Speaker 8: I think it has a huge story around resources and 375 00:19:17,240 --> 00:19:23,240 Speaker 8: conflict over resources. Ukraine was really the conduit prior to 376 00:19:23,240 --> 00:19:27,680 Speaker 8: the Russia Ukraine crisis for Russia's exports of oil and 377 00:19:28,280 --> 00:19:31,320 Speaker 8: sorry of gas. Into Europe its pipe. It was piped 378 00:19:31,359 --> 00:19:35,520 Speaker 8: through Ukraine. Europe needed to get forty percent of its 379 00:19:35,560 --> 00:19:41,400 Speaker 8: gas from Russia. That's over. We saw energy prices skyrocket 380 00:19:41,680 --> 00:19:44,200 Speaker 8: last year. We saw energy in Europe. We saw energy 381 00:19:44,240 --> 00:19:47,080 Speaker 8: security become front page news in a way that it 382 00:19:47,160 --> 00:19:51,879 Speaker 8: never had before. So the link between Ukraine and resources 383 00:19:52,920 --> 00:19:56,360 Speaker 8: was the big headline last year was energy. Now, there 384 00:19:56,400 --> 00:20:00,360 Speaker 8: was a deal struck which kept grain exports and other 385 00:20:00,840 --> 00:20:05,320 Speaker 8: really critical resource exports going out of Ukraine. But Ukraine 386 00:20:05,359 --> 00:20:09,760 Speaker 8: is one of the most important resource stories in the world. 387 00:20:10,200 --> 00:20:14,280 Speaker 8: After America became energy independent in twenty nineteen, really this 388 00:20:15,080 --> 00:20:19,159 Speaker 8: resource arena has shifted now into eastern Europe. You know, 389 00:20:19,359 --> 00:20:22,720 Speaker 8: Russia and Ukraine are really the nexus for the balancing 390 00:20:22,760 --> 00:20:25,639 Speaker 8: demand around or supply and demand around oil and gas 391 00:20:26,200 --> 00:20:28,720 Speaker 8: on the one hand, another resources like grain on the other. 392 00:20:28,840 --> 00:20:33,159 Speaker 8: So what we're seeing is a conflict which is partly 393 00:20:33,280 --> 00:20:36,720 Speaker 8: driven by conflict over resources, but also it's having a 394 00:20:36,760 --> 00:20:38,280 Speaker 8: dramatic impact on pricing. 395 00:20:38,800 --> 00:20:42,600 Speaker 1: All right, So, as sustainable development capital, you guys look 396 00:20:42,640 --> 00:20:46,320 Speaker 1: at kind of I guess this challenge about being sustainable, 397 00:20:46,320 --> 00:20:48,639 Speaker 1: being eco friendly a little bit differently. Talk to us 398 00:20:48,640 --> 00:20:51,199 Speaker 1: about the types of investments you make there. What do 399 00:20:51,240 --> 00:20:53,320 Speaker 1: you like to what do you think you can add value? 400 00:20:53,520 --> 00:20:53,680 Speaker 6: Right? 401 00:20:53,760 --> 00:20:57,560 Speaker 8: Well, you know, one of the major responses that came 402 00:20:57,600 --> 00:20:59,200 Speaker 8: up telling it back to Russia Ukraine. One of the 403 00:20:59,240 --> 00:21:02,119 Speaker 8: major responses happened last year is given the fact that 404 00:21:02,240 --> 00:21:04,800 Speaker 8: energy was being constrained in Europe, what should we do 405 00:21:04,880 --> 00:21:05,280 Speaker 8: about it? 406 00:21:05,480 --> 00:21:05,800 Speaker 4: So what? 407 00:21:06,359 --> 00:21:10,200 Speaker 8: So there was a huge response build more energy, add 408 00:21:10,240 --> 00:21:14,960 Speaker 8: more into the system, mostly renewable energy, until until it 409 00:21:15,000 --> 00:21:18,200 Speaker 8: became clear how long that would take and how much 410 00:21:18,320 --> 00:21:20,920 Speaker 8: money that would take, and the fact that that wasn't 411 00:21:20,920 --> 00:21:23,640 Speaker 8: going to address energy security in the short term. In fact, 412 00:21:23,680 --> 00:21:27,640 Speaker 8: there was an echo of the European Commissioner for Energy's 413 00:21:27,640 --> 00:21:31,080 Speaker 8: response from the twenty fourteen invasion, which was really important 414 00:21:31,080 --> 00:21:33,639 Speaker 8: in Europe last year. They said, for every every unit 415 00:21:33,720 --> 00:21:37,480 Speaker 8: of gas that we don't use, is two point six 416 00:21:37,600 --> 00:21:39,840 Speaker 8: units of gas we don't need to buy from Russia. 417 00:21:39,920 --> 00:21:43,840 Speaker 8: So the implication was, actually, we're wasting so much energy, 418 00:21:44,000 --> 00:21:47,159 Speaker 8: and about seventy percent of energy gets lost somewhere between 419 00:21:47,160 --> 00:21:49,520 Speaker 8: getting extracted and used. But if you can stop, that's 420 00:21:49,560 --> 00:21:49,920 Speaker 8: the number. 421 00:21:49,960 --> 00:21:50,159 Speaker 7: I like. 422 00:21:50,160 --> 00:21:51,560 Speaker 1: That's because I remember that from last time. 423 00:21:52,000 --> 00:21:53,560 Speaker 7: One more time slowly for the Yeah. 424 00:21:53,920 --> 00:21:57,000 Speaker 8: So in the United States, the Lawrence Livermore National Laboratory 425 00:21:57,400 --> 00:22:00,760 Speaker 8: has charts each year produced everything year that show how 426 00:22:00,800 --> 00:22:03,320 Speaker 8: much energy gets lost from the point of extraction to 427 00:22:03,440 --> 00:22:07,000 Speaker 8: end use. About ten percent gets lost extracting and converting it. 428 00:22:07,320 --> 00:22:11,119 Speaker 8: About fifty percent gets lost in heat because energy is 429 00:22:11,160 --> 00:22:13,480 Speaker 8: generated typically in one place and used in a very 430 00:22:13,480 --> 00:22:15,679 Speaker 8: different place, and you can't do anything with the heat. 431 00:22:15,880 --> 00:22:18,840 Speaker 8: And then another ten percent gets lost in transmission and distribution. 432 00:22:19,119 --> 00:22:21,520 Speaker 8: This is the basic fact of the way that we've 433 00:22:21,520 --> 00:22:24,440 Speaker 8: done energies centralized energy systems, not just in the US, 434 00:22:24,480 --> 00:22:27,000 Speaker 8: but in the UK, Europe, everywhere, and that is the 435 00:22:27,080 --> 00:22:28,679 Speaker 8: part of the problem that needs to be solved. 436 00:22:28,720 --> 00:22:28,880 Speaker 7: Here. 437 00:22:28,920 --> 00:22:31,080 Speaker 8: We are trying to add more energy into the system, 438 00:22:31,160 --> 00:22:34,760 Speaker 8: but the system's broken. It's unbelievably inefficient. And if we 439 00:22:34,760 --> 00:22:37,760 Speaker 8: can generate energy close to or at the point that's 440 00:22:37,800 --> 00:22:41,080 Speaker 8: needed and stop wasting so much at the point of use, 441 00:22:41,200 --> 00:22:43,960 Speaker 8: ten twenty percent plus is typically wasted at the point 442 00:22:44,000 --> 00:22:47,719 Speaker 8: of use, that's one of the most important largest sources 443 00:22:47,760 --> 00:22:53,400 Speaker 8: of productivity economic gain, let alone carbon emission reductions available 444 00:22:53,480 --> 00:22:53,880 Speaker 8: and worth. 445 00:22:54,359 --> 00:22:57,200 Speaker 4: So then what is the key to reducing energy ways 446 00:22:57,280 --> 00:22:58,840 Speaker 4: to meet climate goals? 447 00:22:58,920 --> 00:22:59,400 Speaker 6: Ultimately? 448 00:23:00,200 --> 00:23:04,400 Speaker 8: So I think the first point is generate energy were 449 00:23:04,440 --> 00:23:07,080 Speaker 8: it close to or at the point of view. So 450 00:23:07,920 --> 00:23:09,200 Speaker 8: let's look at the big problems. 451 00:23:09,280 --> 00:23:09,399 Speaker 7: Right. 452 00:23:09,440 --> 00:23:11,800 Speaker 8: Electricity is being greened, which is great, but it gets 453 00:23:12,160 --> 00:23:15,440 Speaker 8: used mostly a residential context. If you look at industry, 454 00:23:15,520 --> 00:23:18,320 Speaker 8: eighty five percent of industry is driven by fossil fuels, 455 00:23:18,400 --> 00:23:20,639 Speaker 8: ninety eight percent of transports. So what can you do 456 00:23:20,720 --> 00:23:23,280 Speaker 8: about that? You can generate the energy close to the 457 00:23:23,280 --> 00:23:25,720 Speaker 8: point of use. So if you even if you're using 458 00:23:25,760 --> 00:23:27,880 Speaker 8: natural gas, capture the heat and use it for heat 459 00:23:27,920 --> 00:23:31,720 Speaker 8: processing an industry. If you can do that by recycling 460 00:23:31,720 --> 00:23:34,439 Speaker 8: waste gases. On one of our funds, we earn a 461 00:23:34,520 --> 00:23:39,280 Speaker 8: huge recycling project up in Indiana, Gary, Indiana where we 462 00:23:39,320 --> 00:23:42,280 Speaker 8: recycle flue gases and use that to power the steel mills. 463 00:23:42,720 --> 00:23:46,639 Speaker 8: So these sorts of a solar on site, solar on 464 00:23:46,760 --> 00:23:49,800 Speaker 8: site storage, it's a massive part of the solution. The 465 00:23:49,880 --> 00:23:52,800 Speaker 8: second part is actually just stopping wasting so much inside 466 00:23:52,800 --> 00:23:58,520 Speaker 8: of buildings, motors, controls, lighting. You know, these are heating, ventilation, 467 00:23:59,080 --> 00:24:02,840 Speaker 8: air conditioning, cool as the warm weather heats up the world. 468 00:24:02,880 --> 00:24:04,320 Speaker 8: So these are the things that are going to make 469 00:24:04,359 --> 00:24:07,639 Speaker 8: a tremendous difference and can be done quickly. It takes 470 00:24:08,119 --> 00:24:10,640 Speaker 8: years to build a new renewable power system. We need 471 00:24:10,640 --> 00:24:12,600 Speaker 8: to do as much of that as possible, but it 472 00:24:12,640 --> 00:24:16,880 Speaker 8: takes months, maybe a couple of years to do any 473 00:24:16,960 --> 00:24:19,080 Speaker 8: of the things that I'm discussing in terms of generating 474 00:24:19,200 --> 00:24:21,600 Speaker 8: energy on site or indeed reducing demand. 475 00:24:21,400 --> 00:24:25,119 Speaker 1: For So, what's a recent investment that your funds have 476 00:24:25,240 --> 00:24:27,320 Speaker 1: made that you're very excited about. 477 00:24:27,640 --> 00:24:30,720 Speaker 8: So I was in Upstate New York yesterday. We've owned 478 00:24:31,080 --> 00:24:34,080 Speaker 8: one of the largest district energy systems in the United States, 479 00:24:34,320 --> 00:24:36,680 Speaker 8: and that provides energy on site to one hundred and 480 00:24:36,760 --> 00:24:41,280 Speaker 8: twenty customers in Rochester Business Park. We own an investment 481 00:24:41,920 --> 00:24:45,440 Speaker 8: in a company here in Manhattan which is called Onyx Renewables, 482 00:24:45,480 --> 00:24:49,119 Speaker 8: which does solar and storage nationwide, and that produces on 483 00:24:49,280 --> 00:24:52,520 Speaker 8: site generation on people's rooftops, car ports, or in the ground, 484 00:24:52,560 --> 00:24:56,520 Speaker 8: but were connected directly to buildings producing low carbon, low 485 00:24:56,560 --> 00:25:00,679 Speaker 8: cost energy solutions. On the electric vehicle side, this is 486 00:25:00,720 --> 00:25:06,320 Speaker 8: a huge opportunity electric vehicles around eighty percent efficient versus 487 00:25:06,320 --> 00:25:10,560 Speaker 8: about thirty percent efficient. 488 00:25:08,440 --> 00:25:12,879 Speaker 1: Efficient versus thirty percent efficient for internal combustion. Yeah, so 489 00:25:13,160 --> 00:25:15,320 Speaker 1: do you how do you define that? Like, what's what's efficient? 490 00:25:15,480 --> 00:25:15,640 Speaker 7: Right? 491 00:25:15,680 --> 00:25:18,640 Speaker 8: So, if you track the energy, the primary energy coming 492 00:25:18,680 --> 00:25:20,439 Speaker 8: out of a well what they call well to wheel, 493 00:25:20,600 --> 00:25:22,679 Speaker 8: and you sort of you track the journey of the 494 00:25:22,720 --> 00:25:26,720 Speaker 8: molecule to exactly what survives through the engine get lost 495 00:25:27,000 --> 00:25:29,960 Speaker 8: through the generation, transmission, et cetera. It's roughly thirty percent. 496 00:25:30,000 --> 00:25:33,719 Speaker 8: And an internal combustion engine what they call wind to wheel, 497 00:25:33,760 --> 00:25:36,240 Speaker 8: that is taking the electricity out of a renewable power 498 00:25:36,280 --> 00:25:39,639 Speaker 8: plant and the electricity broadly survives to get into the 499 00:25:39,640 --> 00:25:43,000 Speaker 8: car and then that is then converted into power that 500 00:25:43,080 --> 00:25:46,600 Speaker 8: actually goes along and moves this vehicle along. So it's 501 00:25:46,640 --> 00:25:51,280 Speaker 8: it's very efficient. It's also frankly, yes, it will help 502 00:25:51,480 --> 00:25:54,240 Speaker 8: reduce demand hopefully and displace fossil fuel use, but it 503 00:25:54,280 --> 00:25:58,240 Speaker 8: also cuts pollution in town. So even even if you're 504 00:25:58,280 --> 00:26:01,240 Speaker 8: not into the climate and you're ailing too and you 505 00:26:01,280 --> 00:26:05,080 Speaker 8: don't like greenwashing or green hushing, then surely you don't 506 00:26:05,080 --> 00:26:07,520 Speaker 8: want your kids to grow up in cities there were 507 00:26:07,560 --> 00:26:10,000 Speaker 8: three or four times the level considered safe by the 508 00:26:10,000 --> 00:26:13,320 Speaker 8: World Health Organization, like my hometown of London because of 509 00:26:13,320 --> 00:26:16,160 Speaker 8: the cars to Texas and buses. So it's those sorts 510 00:26:16,160 --> 00:26:18,920 Speaker 8: of things where you've got efficiency combined with better outcomes 511 00:26:18,920 --> 00:26:19,399 Speaker 8: for people. 512 00:26:20,960 --> 00:26:22,680 Speaker 1: We're having you back the next time you're in New York. 513 00:26:22,720 --> 00:26:23,840 Speaker 1: I know you said you're back here a lot and 514 00:26:23,960 --> 00:26:27,080 Speaker 1: back in New Orkrin get continue this conversation. Jonathan Maxwell's CEO, 515 00:26:27,160 --> 00:26:30,320 Speaker 1: co founder Sustainable Development Capital. 516 00:26:30,359 --> 00:26:33,040 Speaker 4: I like the Capital book out in the US and December. 517 00:26:34,400 --> 00:26:38,240 Speaker 7: You're listening to the Team Can't Live program Bloomberg Markets 518 00:26:38,280 --> 00:26:41,399 Speaker 7: weekdays at ten am Eastern on Bloomberg dot Com, the 519 00:26:41,440 --> 00:26:44,600 Speaker 7: iHeartRadio app, and the Bloomberg Business App, or listen on 520 00:26:44,680 --> 00:26:46,760 Speaker 7: demand wherever you get your podcasts. 521 00:26:48,560 --> 00:26:51,000 Speaker 1: So let's head down to Washington, DC. Joe Matthew, radio 522 00:26:51,040 --> 00:26:53,919 Speaker 1: and TV host Bloomberg's sound on in Bloomberg's Balance of 523 00:26:54,080 --> 00:26:58,600 Speaker 1: Power joins us. Joe, You and Anne Marie Hordern interviewed 524 00:26:58,680 --> 00:27:01,359 Speaker 1: Chris Christie on Bounce of Power last night. Here's a 525 00:27:01,359 --> 00:27:03,000 Speaker 1: clip of your discussion. 526 00:27:02,800 --> 00:27:06,840 Speaker 9: At our nation's secrets hanging out at Marvaco and at 527 00:27:07,040 --> 00:27:09,840 Speaker 9: his Bedminster golf club. Think about the risk that that 528 00:27:09,880 --> 00:27:13,119 Speaker 9: puts our men and women in uniform and our intelligence 529 00:27:13,160 --> 00:27:14,040 Speaker 9: officers ad. 530 00:27:14,359 --> 00:27:17,120 Speaker 1: That was a new Former New Jersey Governor Chris Christie's 531 00:27:17,119 --> 00:27:20,520 Speaker 1: also at presidential hopeful for twenty four. Joe talked to 532 00:27:20,560 --> 00:27:23,200 Speaker 1: us about kind of some of the highlights from your 533 00:27:23,240 --> 00:27:24,959 Speaker 1: discussion with mister Christy. 534 00:27:25,920 --> 00:27:28,159 Speaker 10: Well, we tried to take a different approach, as you 535 00:27:28,240 --> 00:27:31,200 Speaker 10: might have noticed, because every time I see Chris Christy 536 00:27:31,320 --> 00:27:34,320 Speaker 10: or hear Chris Christy in an interview, the entire thing 537 00:27:34,359 --> 00:27:36,119 Speaker 10: is about Donald Trump, and of course you have to 538 00:27:36,200 --> 00:27:38,800 Speaker 10: ask him about the front runner. But we tried to 539 00:27:38,800 --> 00:27:40,760 Speaker 10: be a little bit different here for our audience on 540 00:27:40,800 --> 00:27:43,160 Speaker 10: Luberg and actually talk about a couple of issues. I've 541 00:27:43,200 --> 00:27:46,720 Speaker 10: never heard him be asked about the economy, about inflation, 542 00:27:47,000 --> 00:27:50,880 Speaker 10: his thoughts on J. Powell, his thoughts on geopolitics, how 543 00:27:50,920 --> 00:27:54,680 Speaker 10: he would handle China, his thoughts on Taiwan. A lot 544 00:27:54,720 --> 00:27:57,800 Speaker 10: of things that we frankly learned for the first time 545 00:27:58,000 --> 00:28:00,359 Speaker 10: in that conversation last evening, and we you've got to 546 00:28:00,359 --> 00:28:02,840 Speaker 10: take a pretty deep dive with him on a number 547 00:28:02,920 --> 00:28:05,200 Speaker 10: of issues here. So yeah, when it comes to Donald Trump, look, 548 00:28:05,240 --> 00:28:08,080 Speaker 10: he's a former prosecutor and his view is that we 549 00:28:08,160 --> 00:28:11,040 Speaker 10: have already seen what could be the most damaging case 550 00:28:11,040 --> 00:28:13,640 Speaker 10: against him. That cut that you just played, he's talking 551 00:28:13,640 --> 00:28:15,959 Speaker 10: about the classified documents case, and he sees that as 552 00:28:16,000 --> 00:28:19,280 Speaker 10: the most damning legal action that the president former president 553 00:28:19,320 --> 00:28:21,000 Speaker 10: is facing right now, even as we wait for yet 554 00:28:21,119 --> 00:28:23,679 Speaker 10: another indictment likely to drop according to Donald Trump in 555 00:28:23,680 --> 00:28:24,440 Speaker 10: the next few days. 556 00:28:24,680 --> 00:28:27,800 Speaker 4: How do you think this shapes up for the race 557 00:28:27,880 --> 00:28:30,119 Speaker 4: for the election, especially when you're looking at this latest 558 00:28:30,119 --> 00:28:32,800 Speaker 4: poll from Warders where it has Trump up about forty 559 00:28:32,840 --> 00:28:35,040 Speaker 4: seven percent of support him on Republicans, and then you 560 00:28:35,080 --> 00:28:39,000 Speaker 4: look at Desanta's at abound nineteen percent, and kind of 561 00:28:39,000 --> 00:28:40,720 Speaker 4: what you think this could mean as far as from 562 00:28:40,720 --> 00:28:42,000 Speaker 4: a sentiment perspective. 563 00:28:43,560 --> 00:28:45,440 Speaker 10: Well, you know, first of all, I would just caution 564 00:28:45,560 --> 00:28:48,520 Speaker 10: everybody to throw a little bit of salt at you know, 565 00:28:48,640 --> 00:28:51,040 Speaker 10: more than one grain at any national poll right now, 566 00:28:51,080 --> 00:28:53,360 Speaker 10: because you know, if I bring you back to where 567 00:28:53,400 --> 00:28:55,880 Speaker 10: we were in the race in twenty sixteen, right now, 568 00:28:55,920 --> 00:28:58,640 Speaker 10: you'd be asking me when Jeb Bush was going to 569 00:28:58,640 --> 00:29:01,240 Speaker 10: move into the White House. You'd be asking me when 570 00:29:01,280 --> 00:29:04,400 Speaker 10: Scott Walker might be doing the same thing. Donald Trump, 571 00:29:04,440 --> 00:29:06,800 Speaker 10: I believe was around four percent at that point. Now 572 00:29:06,840 --> 00:29:10,680 Speaker 10: we cannot argue with this remarkable lead, this powerful lead 573 00:29:10,680 --> 00:29:13,240 Speaker 10: that Donald Trump has at the moment. You're asking the 574 00:29:13,280 --> 00:29:15,480 Speaker 10: right question about number two though, and we're watching Ron 575 00:29:15,520 --> 00:29:18,960 Speaker 10: DeSantis attempt to relaunch reset his campaign. He actually laid 576 00:29:18,960 --> 00:29:22,360 Speaker 10: off some workers, found himself spending too much money and 577 00:29:22,520 --> 00:29:27,360 Speaker 10: hard to rationalize a polling data set that's been dropping 578 00:29:27,480 --> 00:29:31,000 Speaker 10: essentially since he announced officially that he was coming into 579 00:29:31,040 --> 00:29:33,720 Speaker 10: the campaign. So Ron DeSantis is dealing with an identity 580 00:29:33,720 --> 00:29:35,320 Speaker 10: issue right now. He's trying to go out there and 581 00:29:35,360 --> 00:29:38,000 Speaker 10: do more mainstream media talk to people other than those 582 00:29:38,000 --> 00:29:41,360 Speaker 10: who agree with him, and it's really, frankly unclear. He's 583 00:29:41,360 --> 00:29:43,280 Speaker 10: got a massive apparatus in a lot of money, but 584 00:29:43,320 --> 00:29:45,800 Speaker 10: it's unclear that he can catch up to Donald Trump 585 00:29:45,800 --> 00:29:47,719 Speaker 10: at this stage of the race. It's going to require 586 00:29:47,720 --> 00:29:50,120 Speaker 10: an event, and I'll remind everybody's a big one next month, 587 00:29:50,120 --> 00:29:52,440 Speaker 10: and that's the debate, the first Republican debate that'll be 588 00:29:52,480 --> 00:29:55,600 Speaker 10: in Milwaukee that the RNC is running. And by the way, 589 00:29:55,640 --> 00:29:58,200 Speaker 10: the aforementioned Chris Christy is among candidates who made the 590 00:29:58,200 --> 00:30:00,280 Speaker 10: cut to go on that stage, but so far has 591 00:30:00,320 --> 00:30:03,360 Speaker 10: not taken the pledge as the RNC is asking everyone 592 00:30:03,400 --> 00:30:06,280 Speaker 10: to support the eventual nominee, because if you're Chris Christy, 593 00:30:06,320 --> 00:30:07,880 Speaker 10: you can't say you're going to vote for Donald Trump 594 00:30:07,920 --> 00:30:08,760 Speaker 10: if he does this again. 595 00:30:09,040 --> 00:30:09,200 Speaker 7: Right? 596 00:30:09,360 --> 00:30:12,640 Speaker 1: Interesting, All right, So, Joe, based upon your discussions with 597 00:30:12,640 --> 00:30:15,080 Speaker 1: Amory and the governor last night, what do you think 598 00:30:15,280 --> 00:30:20,280 Speaker 1: Governor Christy views as maybe his strategy going into the selection. 599 00:30:20,320 --> 00:30:22,560 Speaker 1: A lot of folks are just suggesting he's nothing more 600 00:30:22,600 --> 00:30:25,040 Speaker 1: than someone to just beat up on Donald Trump. But 601 00:30:25,240 --> 00:30:26,400 Speaker 1: what did you live last night? 602 00:30:27,200 --> 00:30:28,920 Speaker 10: I'm glad you asked that. It's the first question that 603 00:30:28,960 --> 00:30:31,280 Speaker 10: I asked him. You know, everyone knows that you're here 604 00:30:31,320 --> 00:30:33,000 Speaker 10: to be that you're the guy who's here to punch 605 00:30:33,040 --> 00:30:36,479 Speaker 10: Donald Trump in the nose rhetorically, that's your brand. And 606 00:30:36,520 --> 00:30:38,440 Speaker 10: many would argue, by the way, there would never have 607 00:30:38,520 --> 00:30:40,640 Speaker 10: been at Donald Trump without Chris Christie. You remember he 608 00:30:40,800 --> 00:30:42,880 Speaker 10: was to tell it like it is candy. Now he's 609 00:30:42,880 --> 00:30:47,280 Speaker 10: facing somebody who actually became president on that idea. But 610 00:30:47,480 --> 00:30:49,360 Speaker 10: there needs to be more than that. And when I 611 00:30:49,360 --> 00:30:51,280 Speaker 10: asked him about what is it that you know beyond 612 00:30:51,360 --> 00:30:55,440 Speaker 10: anti Trump? What is your brand? He said one word truth. 613 00:30:56,200 --> 00:30:58,120 Speaker 10: I'm the only guy up there who will tell you 614 00:30:58,160 --> 00:31:00,520 Speaker 10: the truth. Now, when you put that against some of 615 00:31:00,560 --> 00:31:04,200 Speaker 10: the policy positions that we discussed, you might actually have 616 00:31:04,240 --> 00:31:06,600 Speaker 10: a package there that a voter could consider. But when 617 00:31:06,920 --> 00:31:08,760 Speaker 10: you're looking at him, between six and eight percent of 618 00:31:08,800 --> 00:31:10,800 Speaker 10: the polls right now, he has yet to connect the 619 00:31:10,840 --> 00:31:12,600 Speaker 10: dots with voters in that way. 620 00:31:13,160 --> 00:31:17,240 Speaker 4: Have we heard from the Biden administration about Trump's legal 621 00:31:17,280 --> 00:31:18,240 Speaker 4: woes right now. 622 00:31:19,200 --> 00:31:21,360 Speaker 10: They're really careful to not talk about it. They don't 623 00:31:21,360 --> 00:31:24,280 Speaker 10: want anyone to think that there's any contact between the 624 00:31:24,280 --> 00:31:26,840 Speaker 10: President and Merrick Garland at the DOJ, never mind the 625 00:31:26,840 --> 00:31:30,160 Speaker 10: Special Council. These degrees of separation are really important to 626 00:31:30,160 --> 00:31:33,400 Speaker 10: the White House here because they're being accused of weaponizing 627 00:31:33,440 --> 00:31:35,440 Speaker 10: the Department of Justice. Even the Speaker of the House 628 00:31:35,480 --> 00:31:37,120 Speaker 10: said that the only reason it happened, he said, is 629 00:31:37,120 --> 00:31:40,600 Speaker 10: because Donald Trump's poll numbers are higher, which is a 630 00:31:40,600 --> 00:31:43,080 Speaker 10: little bit ridiculous because this investigation has been going on 631 00:31:43,120 --> 00:31:45,800 Speaker 10: for a lot longer than Donald Trump had this lead 632 00:31:45,800 --> 00:31:48,280 Speaker 10: in the polls. So for the White House, you know what, 633 00:31:48,320 --> 00:31:50,560 Speaker 10: they treat it just like they do the FED. They differ. 634 00:31:51,560 --> 00:31:54,440 Speaker 1: Joe, you're in Washington, DC, you're based in DC. You 635 00:31:54,520 --> 00:31:58,160 Speaker 1: talk to everybody here. What is your sense at this 636 00:31:58,320 --> 00:32:01,680 Speaker 1: early stage and what the Republican Party would like to see, 637 00:32:01,720 --> 00:32:03,520 Speaker 1: How would they like to see things develop, Who would 638 00:32:03,520 --> 00:32:05,480 Speaker 1: they like their nominee to be? 639 00:32:05,600 --> 00:32:06,040 Speaker 7: Do you think. 640 00:32:07,440 --> 00:32:11,440 Speaker 10: Impossible to answer because it's such a splintered party right now, 641 00:32:11,440 --> 00:32:14,360 Speaker 10: and that's really a challenge. If you're running the RNC, 642 00:32:14,560 --> 00:32:17,000 Speaker 10: you're trying to figure this out exactly, because thirty percent 643 00:32:17,080 --> 00:32:20,200 Speaker 10: are just hard locked behind Donald Trump. Even if he 644 00:32:20,200 --> 00:32:22,400 Speaker 10: does shoot somebody on Fifth Avenue, as he says, we're 645 00:32:22,440 --> 00:32:24,920 Speaker 10: starting to believe him there that they will not budge. 646 00:32:25,080 --> 00:32:27,560 Speaker 10: So now you're dealing with roughly seventy percent of the electorate, 647 00:32:28,000 --> 00:32:30,440 Speaker 10: and the more candidates jump in this thing, they're splintering 648 00:32:30,440 --> 00:32:32,720 Speaker 10: it along the way. I'm not sure anyone is resonating 649 00:32:33,240 --> 00:32:35,920 Speaker 10: other than Donald Trump in a significant way that you 650 00:32:35,960 --> 00:32:38,160 Speaker 10: could see them actually becoming the nominee. Yet, we have 651 00:32:38,240 --> 00:32:40,560 Speaker 10: to get some debates under our belt. We need something 652 00:32:40,600 --> 00:32:43,680 Speaker 10: to happen here. And I would also challenge the conventional 653 00:32:43,720 --> 00:32:46,440 Speaker 10: wisdom on the idea of another indictment for Donald Trump. 654 00:32:46,480 --> 00:32:48,080 Speaker 10: Well that may help him in the near term raise 655 00:32:48,120 --> 00:32:50,800 Speaker 10: money and lift his polls, we could be looking at 656 00:32:50,800 --> 00:32:52,880 Speaker 10: a very different dynamic with him walking into a re 657 00:32:52,960 --> 00:32:55,040 Speaker 10: election cycle if we call it that for him, as 658 00:32:55,040 --> 00:32:59,720 Speaker 10: a former president carrying four or five indictments, it would 659 00:32:59,720 --> 00:33:04,280 Speaker 10: be historic and there's no historical measure to how that 660 00:33:04,400 --> 00:33:05,520 Speaker 10: might impact the electorate. 661 00:33:06,640 --> 00:33:08,960 Speaker 1: And just from the same question from the Democratic side, 662 00:33:09,440 --> 00:33:13,920 Speaker 1: is a Democratic Party united behind President Biden making another 663 00:33:14,000 --> 00:33:14,440 Speaker 1: run here? 664 00:33:15,520 --> 00:33:17,760 Speaker 10: You know, as much as it's going to be, there's 665 00:33:17,800 --> 00:33:21,560 Speaker 10: no clear alternative. And while some have asked, if you know, 666 00:33:21,640 --> 00:33:24,440 Speaker 10: the president should drop out here and bring in a 667 00:33:24,480 --> 00:33:27,320 Speaker 10: younger Democrat, no one exactly is raising their hands for 668 00:33:27,400 --> 00:33:28,840 Speaker 10: that right now. So I think as long as he 669 00:33:28,880 --> 00:33:31,440 Speaker 10: wants to do this, it's probably his. But if you 670 00:33:31,480 --> 00:33:36,360 Speaker 10: look at the poll yesterday from Quinnipiac University, it found 671 00:33:36,360 --> 00:33:39,440 Speaker 10: that nearly half I believe it was forty seven percent 672 00:33:39,480 --> 00:33:44,240 Speaker 10: of voters from both parties would like to see somebody 673 00:33:44,280 --> 00:33:47,960 Speaker 10: other than not only the names we're talking about, Paul, 674 00:33:48,000 --> 00:33:51,280 Speaker 10: but they want to see a third party candidate, and 675 00:33:51,320 --> 00:33:53,040 Speaker 10: that brings us to this whole idea of the No 676 00:33:53,240 --> 00:33:56,560 Speaker 10: Labels Party. They held a big event in New Hampshire 677 00:33:56,600 --> 00:34:00,480 Speaker 10: this week with Joe Manchin, and that's the one thing 678 00:34:00,520 --> 00:34:03,080 Speaker 10: that upsets Democrats when you ask them about a third party, 679 00:34:03,560 --> 00:34:06,600 Speaker 10: they say that is the most surefireway to reelect Donald Trump. 680 00:34:07,040 --> 00:34:08,880 Speaker 10: That is what would keep Joe Biden out of the 681 00:34:08,880 --> 00:34:09,359 Speaker 10: White House. 682 00:34:09,400 --> 00:34:12,320 Speaker 1: All right, Joe, great, great analysis as always Joe Matthew. 683 00:34:12,800 --> 00:34:15,520 Speaker 1: He is host of Bloomberg Sound On and Bloomberg's Balance 684 00:34:15,560 --> 00:34:18,160 Speaker 1: of Power, Bounce of Power on Television, Sound On on Radio. 685 00:34:18,200 --> 00:34:22,560 Speaker 1: So Joe Matthew is our multimedia Washington, DC source, and 686 00:34:22,600 --> 00:34:26,719 Speaker 1: he and Annry Hordern last evening spoke with the presidential candidate, 687 00:34:27,520 --> 00:34:31,120 Speaker 1: Chris Christi, former governor of my home state New Jersey. 688 00:34:31,680 --> 00:34:33,279 Speaker 1: So lots to talk about there. It's going to be 689 00:34:33,360 --> 00:34:35,640 Speaker 1: a fascinating run into the twenty twenty four election. 690 00:34:35,760 --> 00:34:36,440 Speaker 6: It definitely is. 691 00:34:36,520 --> 00:34:40,280 Speaker 4: And then him calling out how those classified documents case 692 00:34:40,400 --> 00:34:42,439 Speaker 4: is the worst of the Trump charges at this point. 693 00:34:42,560 --> 00:34:44,200 Speaker 1: Yeah, that's me to going to see how that plays. 694 00:34:44,239 --> 00:34:46,120 Speaker 1: I will have obviously full coverage going forward. 695 00:34:46,480 --> 00:34:49,600 Speaker 7: You're listening to the tape. Can's are live program Bloomberg 696 00:34:49,640 --> 00:34:53,239 Speaker 7: Markets weekdays at ten am Eastern on Bloomberg Radio, the 697 00:34:53,320 --> 00:34:56,560 Speaker 7: tune in app, Bloomberg dot Com, and the Bloomberg Business App. 698 00:34:56,600 --> 00:34:59,399 Speaker 7: You can also listen live on Amazon Alexa from our 699 00:34:59,400 --> 00:35:04,040 Speaker 7: flagship New York station, Just Say Alexa playing Bloomberg eleven thirty. 700 00:35:05,320 --> 00:35:08,240 Speaker 1: Jess meant Paul Sweeney here in the Bloomberg Interactive Brokers studio. 701 00:35:08,280 --> 00:35:11,160 Speaker 1: We are streaming on YouTube. You can just go over 702 00:35:11,200 --> 00:35:14,040 Speaker 1: to YouTube and just search Bloomberg Global News and that 703 00:35:14,080 --> 00:35:16,200 Speaker 1: I'll bring you right to the feed. In this hour, 704 00:35:16,560 --> 00:35:19,279 Speaker 1: we are joined in studio with Barry Riodholts. He's a 705 00:35:19,320 --> 00:35:22,440 Speaker 1: host of Masters in Business, little podcast he does with 706 00:35:22,480 --> 00:35:24,680 Speaker 1: the good folks at Bloomberg. Has also got a day 707 00:35:24,760 --> 00:35:27,160 Speaker 1: job with Ridholt's wealth management. Barry, thanks so much for 708 00:35:27,239 --> 00:35:27,839 Speaker 1: joining us here. 709 00:35:27,920 --> 00:35:29,799 Speaker 11: My pleasure. Always a blast to be here. 710 00:35:29,840 --> 00:35:31,719 Speaker 1: All right, let's kick it off real quick here because 711 00:35:31,760 --> 00:35:33,640 Speaker 1: one of the names that Charlie was just mentioning, and 712 00:35:33,680 --> 00:35:37,120 Speaker 1: that thing was Netflix. After the closed last night reported 713 00:35:37,160 --> 00:35:40,360 Speaker 1: some numbers stock us off nine percent. The revenue guidance 714 00:35:40,560 --> 00:35:42,640 Speaker 1: missed here, So that's kind of the big issue, and 715 00:35:42,680 --> 00:35:45,120 Speaker 1: it just kind of calls into question the whole profitability 716 00:35:45,160 --> 00:35:47,000 Speaker 1: of the streaming business. And we want to bring in 717 00:35:47,040 --> 00:35:49,719 Speaker 1: somebody who really knows this business well, Mark Douglass. He's 718 00:35:49,719 --> 00:35:52,000 Speaker 1: a president and CEO of Mountain. He joins us via 719 00:35:52,120 --> 00:35:54,960 Speaker 1: zoom here. So, Mark, what did you take away from 720 00:35:55,520 --> 00:35:57,680 Speaker 1: what we heard from the company last night and what 721 00:35:57,719 --> 00:36:05,680 Speaker 1: we saw on their results. 722 00:36:02,000 --> 00:36:05,480 Speaker 12: Migration of building mode in terms of password sharing. The 723 00:36:05,480 --> 00:36:08,560 Speaker 12: way I think of the password sharing, it's like a 724 00:36:08,600 --> 00:36:11,799 Speaker 12: revenue backlock for Netflix that they can tap into. I 725 00:36:11,800 --> 00:36:16,160 Speaker 12: don't think they're likely pushing one hundred percent on ending 726 00:36:16,200 --> 00:36:19,920 Speaker 12: password sharing. They have an incentive to do it slowly 727 00:36:20,040 --> 00:36:23,320 Speaker 12: and then have like essentially it's backlock. The app business 728 00:36:23,320 --> 00:36:26,080 Speaker 12: still has some effort to ramp up, but I think 729 00:36:26,120 --> 00:36:28,799 Speaker 12: the fact that they missed revenue hit earnings is an 730 00:36:28,800 --> 00:36:33,680 Speaker 12: indication that you're going to see increased earnings at Netflix 731 00:36:33,719 --> 00:36:37,359 Speaker 12: because the new consume, the new consumers have paying that 732 00:36:37,400 --> 00:36:40,080 Speaker 12: they're coming off the password sharing, They have no increased costs, 733 00:36:40,400 --> 00:36:42,960 Speaker 12: they have very little increased costs with the app business, 734 00:36:43,000 --> 00:36:44,920 Speaker 12: that all of that revenue is going to go straight 735 00:36:44,920 --> 00:36:45,920 Speaker 12: to the bottom line. 736 00:36:46,000 --> 00:36:48,879 Speaker 11: So let's put some flesh on the bones. What are 737 00:36:49,000 --> 00:36:54,920 Speaker 11: Netflix estimates of how many households are sharing passwords and 738 00:36:55,000 --> 00:36:59,920 Speaker 11: how many potential new subscribers does this layout What sort 739 00:36:59,960 --> 00:37:01,399 Speaker 11: of revenue bump could we say? 740 00:37:03,080 --> 00:37:07,200 Speaker 12: I don't offhand know the exact numbers. I know it's 741 00:37:07,239 --> 00:37:12,320 Speaker 12: a very significant portion of the users that use Netflix, 742 00:37:12,560 --> 00:37:14,680 Speaker 12: you know or doing password sharing. I remember a few 743 00:37:14,760 --> 00:37:17,160 Speaker 12: years ago there was a meme when one of their 744 00:37:17,200 --> 00:37:20,040 Speaker 12: shows went viral right before Christmas, and it was like, 745 00:37:20,120 --> 00:37:23,600 Speaker 12: how did fifty million people watch that movie with only 746 00:37:23,640 --> 00:37:26,880 Speaker 12: ten you know, Netflix passwords? So I think, you know, 747 00:37:27,120 --> 00:37:31,239 Speaker 12: everyone is sharing and Netflix is going to essentially do 748 00:37:31,320 --> 00:37:35,960 Speaker 12: a migration over time from password sharing to fully paid 749 00:37:35,960 --> 00:37:39,239 Speaker 12: subscriptions and do it now with that supported likely being 750 00:37:39,640 --> 00:37:42,279 Speaker 12: right in the mix, which generates even more revenue for 751 00:37:42,320 --> 00:37:43,800 Speaker 12: them and thus more profit. 752 00:37:44,200 --> 00:37:48,359 Speaker 11: I honest understand, I'm watching Drive to Survive in the den. 753 00:37:48,480 --> 00:37:50,840 Speaker 11: My wife puts something on in the bedroom and I 754 00:37:50,880 --> 00:37:54,000 Speaker 11: get kicked out on Netflix. Yet everybody else seems to 755 00:37:54,040 --> 00:37:57,319 Speaker 11: be seems to be sharing this. So how long do 756 00:37:57,320 --> 00:37:59,920 Speaker 11: you think it'll take for them to migrate a substantial 757 00:38:00,080 --> 00:38:03,520 Speaker 11: number of these people onto the platform as paying customers. 758 00:38:03,800 --> 00:38:05,440 Speaker 12: I think they could do it in three months, but 759 00:38:05,520 --> 00:38:07,560 Speaker 12: I think if I were them, I'd take three years 760 00:38:07,719 --> 00:38:11,920 Speaker 12: and just always have this additional revenue stream. It sounds 761 00:38:11,920 --> 00:38:14,680 Speaker 12: like your household has been identified as one with no 762 00:38:14,719 --> 00:38:16,120 Speaker 12: password sharing a lot top. 763 00:38:16,000 --> 00:38:16,399 Speaker 7: Of the list. 764 00:38:16,400 --> 00:38:18,400 Speaker 12: I would have made it exactly. 765 00:38:19,719 --> 00:38:23,480 Speaker 4: If you look at this stock Tickerson Ball nf Lex, 766 00:38:23,520 --> 00:38:25,560 Speaker 4: it's been up more than one hundred percent of the 767 00:38:25,560 --> 00:38:27,880 Speaker 4: past twelve months. If to Paul's point, you look at 768 00:38:27,880 --> 00:38:30,480 Speaker 4: it today down nine percent, this would be its worst 769 00:38:30,480 --> 00:38:32,960 Speaker 4: percentage decline of this year, and the worse since April 770 00:38:33,000 --> 00:38:35,840 Speaker 4: of twenty twenty two. How much of this is also 771 00:38:35,960 --> 00:38:38,279 Speaker 4: it's had such a huge run, would you expect it 772 00:38:38,320 --> 00:38:39,799 Speaker 4: to see it pull back like this on a day 773 00:38:39,800 --> 00:38:42,000 Speaker 4: like today after it got it turned its results. 774 00:38:42,320 --> 00:38:45,000 Speaker 12: Yeah, I mean absolutely, And I think last year was 775 00:38:45,040 --> 00:38:48,400 Speaker 12: an overreaction and that you know, the part of the 776 00:38:48,400 --> 00:38:50,480 Speaker 12: reason they had such a big run up is because 777 00:38:50,560 --> 00:38:53,399 Speaker 12: they fell off. The stock fell off at clift nine 778 00:38:53,440 --> 00:38:56,120 Speaker 12: percent is not falling off a clift. It's a decline. 779 00:38:56,239 --> 00:38:58,640 Speaker 12: And I honestly, I think you're going to see people 780 00:38:58,680 --> 00:39:01,279 Speaker 12: buying into the stock. I personally am going to buy 781 00:39:01,320 --> 00:39:04,920 Speaker 12: into the stock. I think it's I just expect this 782 00:39:05,000 --> 00:39:08,600 Speaker 12: to start a new era of increased earnings and Netflix 783 00:39:08,680 --> 00:39:13,600 Speaker 12: because of the profitability of the password sharing subscribers and 784 00:39:13,719 --> 00:39:16,640 Speaker 12: the advertise and the advertising business. 785 00:39:16,719 --> 00:39:18,160 Speaker 7: So I think you're going. 786 00:39:18,120 --> 00:39:20,120 Speaker 12: To see, you know, this be a temporary blip and 787 00:39:20,160 --> 00:39:23,120 Speaker 12: then they start to you see the stock price start 788 00:39:23,160 --> 00:39:23,640 Speaker 12: to increase. 789 00:39:23,880 --> 00:39:27,200 Speaker 4: What about other streaming platforms and those types of stocks. 790 00:39:27,200 --> 00:39:29,920 Speaker 4: We're not gonna have Disney's earnings results until August ninth, 791 00:39:29,960 --> 00:39:32,400 Speaker 4: but obviously when you're thinking about some of its rivals, 792 00:39:32,440 --> 00:39:35,520 Speaker 4: maybe Roku, what about those particular types of stocks and 793 00:39:35,640 --> 00:39:37,920 Speaker 4: are those potentially ones that you're buying or maybe selling. 794 00:39:38,600 --> 00:39:41,480 Speaker 12: I think Netflix is kind of kind of uniquely positioned. 795 00:39:41,600 --> 00:39:44,560 Speaker 12: I think there's opportunity obviously at Disney Plus, but then 796 00:39:44,560 --> 00:39:47,520 Speaker 12: you're also buying in the Disney parks and all these 797 00:39:47,840 --> 00:39:51,040 Speaker 12: Disney films, and there's a lot of complexity and a 798 00:39:51,080 --> 00:39:55,120 Speaker 12: lot of issues there. Netflix is best when they operate 799 00:39:55,280 --> 00:39:59,000 Speaker 12: like a tech company and not a Hollywood studio. And 800 00:39:59,080 --> 00:40:02,799 Speaker 12: so the password sharing, the advertise, these are things that 801 00:40:02,960 --> 00:40:06,359 Speaker 12: they are really led out of Mountain View, you know, 802 00:40:06,520 --> 00:40:09,759 Speaker 12: in the tech side of Netflix. And whenever they do that, 803 00:40:09,840 --> 00:40:13,040 Speaker 12: they lead the industry and innovation and then start to 804 00:40:13,120 --> 00:40:15,600 Speaker 12: lead the industry in terms of growth. And that's happening 805 00:40:15,640 --> 00:40:18,680 Speaker 12: now and that's I think that one statement is what 806 00:40:18,920 --> 00:40:23,480 Speaker 12: I think makes Netflix, you know, like above their peers. 807 00:40:23,480 --> 00:40:25,840 Speaker 12: So they say, and why I like the company. 808 00:40:26,000 --> 00:40:28,279 Speaker 1: Hey, Mark, you're one of the really thought leaders in 809 00:40:28,320 --> 00:40:30,840 Speaker 1: the digital advertising space. Give us a sense of just 810 00:40:30,880 --> 00:40:34,520 Speaker 1: how you think this streaming advertising business is going to 811 00:40:34,560 --> 00:40:35,000 Speaker 1: play out. 812 00:40:35,640 --> 00:40:39,239 Speaker 12: Yeah, I think it's been very challenging. There's lots of 813 00:40:39,320 --> 00:40:43,560 Speaker 12: demand to advertise on Netflix, but they have to navigate 814 00:40:43,600 --> 00:40:46,359 Speaker 12: do they have rights on all the shows? And then 815 00:40:46,400 --> 00:40:48,759 Speaker 12: there are a lot of big agencies involved, the big 816 00:40:48,760 --> 00:40:52,799 Speaker 12: holding companies like WPP and Nomniicom, and so you know, 817 00:40:52,880 --> 00:40:57,279 Speaker 12: they're they're underway. The content is very attractive the consumers 818 00:40:57,360 --> 00:41:00,000 Speaker 12: that you know, the ads almost become like a new 819 00:41:00,200 --> 00:41:02,640 Speaker 12: show because you're still not used to sing an ad 820 00:41:03,040 --> 00:41:05,960 Speaker 12: on Netflix. So I think it's going to take roughly 821 00:41:06,040 --> 00:41:09,080 Speaker 12: eighteen months from when they started let in Q four 822 00:41:09,600 --> 00:41:13,160 Speaker 12: to like really truly ramp that up as they navigate 823 00:41:13,239 --> 00:41:17,080 Speaker 12: kind of those relationships. But they're off to a good starter, 824 00:41:17,160 --> 00:41:19,839 Speaker 12: and I think they have a lot of headroom that 825 00:41:20,080 --> 00:41:24,120 Speaker 12: actually creates headwinds for everyone else. If Netflix gains share 826 00:41:24,120 --> 00:41:28,120 Speaker 12: and advertising, another network is going to lose share. The 827 00:41:28,200 --> 00:41:33,400 Speaker 12: overall brand advertising industry is actually not growing, and so 828 00:41:33,440 --> 00:41:36,120 Speaker 12: they're gonna not The industry as a whole is going 829 00:41:36,200 --> 00:41:39,080 Speaker 12: to have to find new customers in order to make 830 00:41:39,160 --> 00:41:40,520 Speaker 12: up for increased competition. 831 00:41:41,000 --> 00:41:43,680 Speaker 1: All right, Mark, great some of your time. Really appreciate 832 00:41:43,840 --> 00:41:47,040 Speaker 1: getting your perspective, your analysis. Mark Douglas, he's a president 833 00:41:47,160 --> 00:41:49,279 Speaker 1: and CEO of Mountain. He joined us via Zoom. Always 834 00:41:49,320 --> 00:41:50,279 Speaker 1: appreciate getting his thoughts. 835 00:41:50,520 --> 00:41:53,600 Speaker 7: You're listening to the tape. Catch a live program Bloomberg 836 00:41:53,640 --> 00:41:57,200 Speaker 7: Markets weekdays at ten am Eastern on Bloomberg Radio, the 837 00:41:57,320 --> 00:42:00,600 Speaker 7: Tune It Up, Bloomberg dot Com, and the Bloomberg You 838 00:42:00,680 --> 00:42:03,920 Speaker 7: can also listen live on Amazon Alexa from our flagship 839 00:42:03,960 --> 00:42:08,440 Speaker 7: New York station. Just say Alexa play Bloomberg eleven thirty. 840 00:42:09,440 --> 00:42:12,640 Speaker 1: Let's switch gears to the other big earning story of 841 00:42:12,719 --> 00:42:16,120 Speaker 1: the day. Tesla stocks off six point six percent, a 842 00:42:16,120 --> 00:42:20,000 Speaker 1: little bit of some margin challenges there for Elon Musk. 843 00:42:20,080 --> 00:42:22,400 Speaker 1: Let's put it in perspective here, folks. The stock is 844 00:42:22,480 --> 00:42:24,000 Speaker 1: up one hundred and twenty percent year to date, so 845 00:42:24,040 --> 00:42:27,440 Speaker 1: giving back six percent is nothing. Let's bring in Kevin Tynan. 846 00:42:27,800 --> 00:42:31,480 Speaker 1: He covers all the auto industry for Bloomberg Intelligence, joining 847 00:42:31,520 --> 00:42:36,479 Speaker 1: us via Zoom from the Princeton HQ for Bloomberg Intelligence. Kevin, 848 00:42:36,480 --> 00:42:39,239 Speaker 1: what was your takeaway here? I mean price wars they 849 00:42:39,280 --> 00:42:40,719 Speaker 1: have repercussions, don't they? 850 00:42:42,040 --> 00:42:42,360 Speaker 11: Sure? 851 00:42:42,640 --> 00:42:45,400 Speaker 13: Yeah, And I think, look, that's been the deal in 852 00:42:45,400 --> 00:42:49,200 Speaker 13: the auto industry for a century plus. And I think 853 00:42:49,239 --> 00:42:51,960 Speaker 13: the problem with Tesla is that this makes them look 854 00:42:52,040 --> 00:42:56,000 Speaker 13: like an automaker, which is probably their biggest fear. So 855 00:42:56,040 --> 00:42:57,600 Speaker 13: I think what you're going to start to hear now 856 00:42:57,719 --> 00:43:01,000 Speaker 13: is all this talk of AI and full self driving 857 00:43:01,160 --> 00:43:04,720 Speaker 13: and autonomous being you know, the path in the future, 858 00:43:04,760 --> 00:43:07,920 Speaker 13: because when you look at the results and the margins specifically, 859 00:43:08,640 --> 00:43:11,480 Speaker 13: you know eighteen percent at the gross line, ten percent 860 00:43:11,520 --> 00:43:14,400 Speaker 13: at the operating line. It's those are automaker margins. 861 00:43:16,040 --> 00:43:18,560 Speaker 4: And something I was curious about too, is when you're 862 00:43:18,600 --> 00:43:22,680 Speaker 4: looking at Tesla's deliveries earlier this month, they did hit 863 00:43:22,719 --> 00:43:25,520 Speaker 4: a record number after obviously those price cuts in the 864 00:43:25,560 --> 00:43:28,840 Speaker 4: stock continue to go on a tear after it rose 865 00:43:28,920 --> 00:43:32,279 Speaker 4: well above those February highs last month, and the next 866 00:43:32,320 --> 00:43:35,680 Speaker 4: resistance level isn't until right over three hundred dollars. So 867 00:43:35,760 --> 00:43:37,600 Speaker 4: does this make sense when you already saw a big 868 00:43:37,680 --> 00:43:40,399 Speaker 4: run like that, especially after the deliveries and numbers came 869 00:43:40,400 --> 00:43:42,840 Speaker 4: in better than expected, that you'd see another pullback like 870 00:43:42,840 --> 00:43:44,680 Speaker 4: this in the stock. Yeah. 871 00:43:44,719 --> 00:43:49,160 Speaker 13: Well, see what happens is he Elon Musk talks about 872 00:43:49,800 --> 00:43:56,719 Speaker 13: sacrificing profitability for that volume growth. Obviously you see that 873 00:43:56,800 --> 00:44:00,480 Speaker 13: coming right, This is for all automakers in the space 874 00:44:00,560 --> 00:44:03,000 Speaker 13: now are going to be dealing with the same exact thing. 875 00:44:03,080 --> 00:44:06,840 Speaker 13: So he sort of telegraphed the idea that they're doing 876 00:44:06,840 --> 00:44:09,160 Speaker 13: this on purpose, right, we just want to maintain that 877 00:44:09,200 --> 00:44:14,040 Speaker 13: fifty percent growth rate, which they probably won't hit, you know, so, 878 00:44:14,040 --> 00:44:17,600 Speaker 13: so it's almost forgiven and telegraphed to the to the 879 00:44:17,640 --> 00:44:20,920 Speaker 13: point of yeah, don't worry about margins. You know, we're 880 00:44:20,920 --> 00:44:23,279 Speaker 13: going to direct your eye to this volume growth and look, 881 00:44:23,360 --> 00:44:24,759 Speaker 13: record deliveries. 882 00:44:24,239 --> 00:44:24,880 Speaker 6: For the quarter. 883 00:44:25,680 --> 00:44:27,880 Speaker 13: But again, you know, all that does is make you 884 00:44:27,960 --> 00:44:31,360 Speaker 13: an automaker that has no price power by giving up 885 00:44:31,480 --> 00:44:35,200 Speaker 13: margin and puts you in the pack with pedestrian margins 886 00:44:35,239 --> 00:44:39,359 Speaker 13: like everybody else. So I even I thought like, even 887 00:44:39,400 --> 00:44:43,000 Speaker 13: if this quarter were worse in terms of margin and profitability, 888 00:44:43,160 --> 00:44:44,920 Speaker 13: it would still be okay in the eyes of the 889 00:44:44,920 --> 00:44:46,759 Speaker 13: market because he told you he was going to do 890 00:44:46,840 --> 00:44:49,239 Speaker 13: that right, not that he had control of it, but 891 00:44:49,239 --> 00:44:51,040 Speaker 13: he but he telegraphed it. He told you he was 892 00:44:51,040 --> 00:44:53,880 Speaker 13: going to do it, and it and it's what happened, 893 00:44:53,920 --> 00:44:55,960 Speaker 13: record deliveries in the quarter. And it's like, oh, look, 894 00:44:56,400 --> 00:45:01,160 Speaker 13: executing right according to the plan. But it's really an 895 00:45:01,160 --> 00:45:05,040 Speaker 13: issue now where now your margins are like everybody else, 896 00:45:05,120 --> 00:45:06,799 Speaker 13: is where do you go from here? Do you keep 897 00:45:06,840 --> 00:45:11,239 Speaker 13: cutting or do you stand on price and take the 898 00:45:11,320 --> 00:45:12,040 Speaker 13: volume hit. 899 00:45:12,760 --> 00:45:16,680 Speaker 11: Kevin Barry rittolts here. I was intrigued a couple of 900 00:45:16,800 --> 00:45:19,359 Speaker 11: days ago, or maybe it's already a week or two ago, 901 00:45:20,120 --> 00:45:23,920 Speaker 11: when Tesla announced they were opening up their network of 902 00:45:23,960 --> 00:45:29,959 Speaker 11: superchargers to forward and gm evs. How big a deal 903 00:45:30,080 --> 00:45:33,480 Speaker 11: is that and is that a potential revenue stream for 904 00:45:33,600 --> 00:45:34,840 Speaker 11: Tesla in the future. 905 00:45:35,960 --> 00:45:42,080 Speaker 13: Yeah, look, there's there's tax credits to Tesla for opening 906 00:45:42,120 --> 00:45:45,799 Speaker 13: that up. Give that gives them some favorable treatment within 907 00:45:46,320 --> 00:45:49,920 Speaker 13: Inflation Reduction Act to be able to do that. All 908 00:45:49,960 --> 00:45:53,000 Speaker 13: the other automakers didn't have to invest in that technology. 909 00:45:53,840 --> 00:45:57,040 Speaker 13: I'm just not sure how much profitability there is going 910 00:45:57,120 --> 00:46:00,799 Speaker 13: forward in charging. And maybe it's not an Apple stapp comparison, 911 00:46:00,880 --> 00:46:03,880 Speaker 13: but you know, we've heard it before. Nobody owns gasoline 912 00:46:03,880 --> 00:46:06,279 Speaker 13: stations and there's actually no money in the pumping of 913 00:46:06,360 --> 00:46:08,799 Speaker 13: the gas right and back in the day, those were 914 00:46:08,840 --> 00:46:11,040 Speaker 13: the service bays that were connected to the gas station. 915 00:46:11,120 --> 00:46:15,000 Speaker 13: Now it's the convenience store that sells Lotto tickets connected 916 00:46:15,040 --> 00:46:18,160 Speaker 13: to the gasoline station. So you know, if there were 917 00:46:18,200 --> 00:46:20,920 Speaker 13: to be this explosion in demand, I'm not sure how 918 00:46:20,960 --> 00:46:23,800 Speaker 13: great a margin you would be getting at the actual pump. 919 00:46:24,080 --> 00:46:26,000 Speaker 13: I think the value there is that you're going to 920 00:46:26,080 --> 00:46:29,879 Speaker 13: have a captive audience for however much time forty five 921 00:46:29,920 --> 00:46:33,960 Speaker 13: minutes to hours, and it may be the licensing of 922 00:46:34,000 --> 00:46:37,560 Speaker 13: the retail space around the charge points that actually makes 923 00:46:37,600 --> 00:46:38,120 Speaker 13: the money. 924 00:46:39,320 --> 00:46:41,640 Speaker 4: I want to get your thoughts to switch things up 925 00:46:41,640 --> 00:46:43,880 Speaker 4: a little bit. But also on Carvon, I'm looking at 926 00:46:43,920 --> 00:46:47,560 Speaker 4: that ticker symbol CVNA. It was up more than about 927 00:46:47,600 --> 00:46:50,160 Speaker 4: forty percent yesterday on that news that it will restruct 928 00:46:50,200 --> 00:46:52,799 Speaker 4: your debt and sell stock in this comeback bit. It's 929 00:46:52,800 --> 00:46:55,520 Speaker 4: one of those sort of pandemic type of really volatile 930 00:46:55,520 --> 00:46:57,680 Speaker 4: stocks that we've seen. What's your outlook here when you're 931 00:46:57,680 --> 00:47:00,160 Speaker 4: looking from an earnings perspective on a stock like A. 932 00:47:01,040 --> 00:47:05,520 Speaker 13: Yeah, see, that's one that you know that business to 933 00:47:05,600 --> 00:47:09,000 Speaker 13: me is just very focused. It's online only and it's 934 00:47:09,040 --> 00:47:11,560 Speaker 13: pre owned only. So when you compare Carbon to the 935 00:47:11,600 --> 00:47:15,240 Speaker 13: other full line dealerships, you know in Automation or Penske 936 00:47:15,360 --> 00:47:18,240 Speaker 13: Auto Group or Group one or Lithia, you know, there's 937 00:47:18,400 --> 00:47:21,799 Speaker 13: places that they can go when they use market is 938 00:47:21,800 --> 00:47:24,440 Speaker 13: bad or when the new market is bad. You know, 939 00:47:24,440 --> 00:47:27,120 Speaker 13: there's parts and service, there's finance and insurance. So there's 940 00:47:27,160 --> 00:47:29,680 Speaker 13: a lot of revenue diversity for those companies that Carvana 941 00:47:29,760 --> 00:47:32,399 Speaker 13: doesn't have. And this run up in the past couple 942 00:47:32,440 --> 00:47:36,960 Speaker 13: of days. Ideally, I'm struggling to find the structural difference 943 00:47:37,080 --> 00:47:41,640 Speaker 13: in the company today versus before this announcement, and I'm 944 00:47:41,719 --> 00:47:43,520 Speaker 13: not sure it's there. And when you look at their 945 00:47:43,719 --> 00:47:47,200 Speaker 13: you know, retail run rate unit sales, you know it's 946 00:47:47,239 --> 00:47:49,440 Speaker 13: a it's about a three hundred thousand, a little bit 947 00:47:49,440 --> 00:47:51,600 Speaker 13: more than three hundred thousand units, And they've talked about 948 00:47:51,600 --> 00:47:54,680 Speaker 13: getting to two million and scaling, and that doesn't look 949 00:47:54,719 --> 00:47:56,319 Speaker 13: like it's going to And that's in the ballpark of 950 00:47:56,360 --> 00:47:59,520 Speaker 13: what CarMax does used only and it doesn't look like 951 00:47:59,560 --> 00:48:02,320 Speaker 13: they're going to there anytime soon. So all these online 952 00:48:02,520 --> 00:48:07,960 Speaker 13: used only vehicle retailers have really backed off the scale 953 00:48:08,000 --> 00:48:10,080 Speaker 13: and growth for growth sake, to say, we need to 954 00:48:10,120 --> 00:48:12,880 Speaker 13: focus a little bit on margin and profitability in the interim. 955 00:48:13,520 --> 00:48:17,480 Speaker 11: So when we see the slew of new competitors, whether 956 00:48:17,520 --> 00:48:21,799 Speaker 11: it's Mercedes or Hyundai or even some of the big 957 00:48:21,880 --> 00:48:28,520 Speaker 11: Chinese manufacturers, is it unrealistic for anyone who's running a 958 00:48:28,560 --> 00:48:34,320 Speaker 11: first mover EV company to expect to maintain just what's 959 00:48:34,440 --> 00:48:38,399 Speaker 11: been a dominant market share. Isn't it inevitable that they 960 00:48:38,480 --> 00:48:43,000 Speaker 11: have to become a smaller player tesla versus the rest 961 00:48:43,040 --> 00:48:43,560 Speaker 11: of the world. 962 00:48:45,120 --> 00:48:47,879 Speaker 13: Yeah, Look, I think that the issue is is that 963 00:48:48,160 --> 00:48:51,799 Speaker 13: if there were profitability there, you know, like you said, 964 00:48:51,800 --> 00:48:55,000 Speaker 13: the Mercedes, the Volkswagens, the Toyotas of the world would 965 00:48:55,080 --> 00:48:58,600 Speaker 13: be there. The issue is that the mixshift that we've had, 966 00:48:58,680 --> 00:49:01,239 Speaker 13: especially in the US the ten years, has been two 967 00:49:01,280 --> 00:49:04,479 Speaker 13: truck from car, and that was profitable on the first day. 968 00:49:04,960 --> 00:49:08,440 Speaker 13: Now automakers do need to figure out how to sell 969 00:49:08,480 --> 00:49:11,279 Speaker 13: the same vehicles at higher prices because a lot of 970 00:49:11,280 --> 00:49:14,080 Speaker 13: that mixshift truck from car is wrung out and it 971 00:49:14,120 --> 00:49:17,480 Speaker 13: comes from technology, whether it's autonomous or electric. The problem 972 00:49:17,520 --> 00:49:20,560 Speaker 13: is it's higher transaction prices, but the margins aren't as 973 00:49:20,600 --> 00:49:23,360 Speaker 13: good or don't exist at all yet, So it's a 974 00:49:23,440 --> 00:49:28,000 Speaker 13: very messy transition. At this point, everybody's being forced to 975 00:49:28,160 --> 00:49:31,279 Speaker 13: go EV, but it doesn't carry the profitability that your 976 00:49:31,360 --> 00:49:34,120 Speaker 13: existing legacy technology does, and that's why we're slow in 977 00:49:34,120 --> 00:49:34,680 Speaker 13: this country. 978 00:49:34,960 --> 00:49:37,719 Speaker 1: All right, Kevin, thanks so much. As always, we loved 979 00:49:37,920 --> 00:49:40,480 Speaker 1: talking to Kevin Tyny getting the latest on the autobiz, 980 00:49:41,200 --> 00:49:44,200 Speaker 1: including our good friends at Tessa. Kevin Tyny, senior automotive 981 00:49:44,200 --> 00:49:48,000 Speaker 1: analysts for Bloomberg Intelligence, joining us from Princeton, New Jersey. 982 00:49:50,280 --> 00:49:53,359 Speaker 2: Thanks for listening to the Bloomberg Markets podcast. You can 983 00:49:53,400 --> 00:49:57,160 Speaker 2: subscribe and listen to interviews at Apple Podcasts or whatever 984 00:49:57,239 --> 00:49:58,280 Speaker 2: podcast platform. 985 00:49:58,320 --> 00:49:58,760 Speaker 7: You prefer. 986 00:49:59,120 --> 00:50:02,400 Speaker 2: I'm Matt Miller. I'm on Twitter at Matt Miller nineteen 987 00:50:02,480 --> 00:50:03,240 Speaker 2: seventy three. 988 00:50:03,560 --> 00:50:05,920 Speaker 1: And I'm Faul Sweeney. I'm on Twitter at pt Sweeney. 989 00:50:06,040 --> 00:50:08,719 Speaker 1: Before the podcast, you can always catch us worldwide at 990 00:50:08,719 --> 00:50:09,479 Speaker 1: Bloomberg Radio