1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Panel Podcast. I'm Paul Sweene. You, 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa Brahma Waits, each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money. Whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Panel podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:24,040 Speaker 1: at Bloomberg dot com. Joining us. We are very glad 8 00:00:24,079 --> 00:00:27,479 Speaker 1: to have Carl Liebert, President and chief executive officer of 9 00:00:27,560 --> 00:00:32,680 Speaker 1: Auto Nation, which reported earnings. Uh, the earnings did disappoint 10 00:00:32,760 --> 00:00:36,040 Speaker 1: a little bit. The question that I have Carl, is 11 00:00:36,080 --> 00:00:39,239 Speaker 1: that looking at the auto landscape right now, it does 12 00:00:39,280 --> 00:00:41,680 Speaker 1: seem like people are saying we have seen peak auto. 13 00:00:42,159 --> 00:00:45,519 Speaker 1: How are you adjusting to that new reality? Well, thank you, 14 00:00:45,600 --> 00:00:48,120 Speaker 1: thanks for having me on today. It's my honor to 15 00:00:48,159 --> 00:00:51,680 Speaker 1: be here. And and uh, look, I think we've we've 16 00:00:51,720 --> 00:00:54,640 Speaker 1: been talking about this for quite some time at Auto Nation, 17 00:00:54,800 --> 00:00:58,880 Speaker 1: that there was gonna be a slowing of retail sales. 18 00:00:59,200 --> 00:01:02,960 Speaker 1: And the play we called and wanted to execute is 19 00:01:03,000 --> 00:01:07,440 Speaker 1: to really really focus on profits per vehicle, and uh, 20 00:01:07,480 --> 00:01:10,520 Speaker 1: and how we thought about delivering on our commitments to 21 00:01:10,560 --> 00:01:15,120 Speaker 1: our shareholders um and the first quarter turned out extraordinarily 22 00:01:15,120 --> 00:01:17,520 Speaker 1: well from us when you start to think about our 23 00:01:17,560 --> 00:01:20,320 Speaker 1: revenue being down, but our but our profits and are 24 00:01:20,360 --> 00:01:23,720 Speaker 1: Arnie for share a new record for Q one. We 25 00:01:23,760 --> 00:01:26,200 Speaker 1: feel good about it. We've got a long way to go. 26 00:01:26,440 --> 00:01:29,080 Speaker 1: Is we're at the end of this economic cycle, so 27 00:01:29,120 --> 00:01:32,680 Speaker 1: we're watching inventories closely and making sure we can we're 28 00:01:32,720 --> 00:01:35,200 Speaker 1: executing the play. So Carl talked us a little bit 29 00:01:35,240 --> 00:01:37,640 Speaker 1: about the used car market and the relative I know 30 00:01:37,680 --> 00:01:40,199 Speaker 1: you guys have kind of shaded your focus a little 31 00:01:40,200 --> 00:01:42,240 Speaker 1: bit towards that side of the business, talk about the 32 00:01:42,240 --> 00:01:44,920 Speaker 1: relative profitability there and what upside you see in that 33 00:01:44,959 --> 00:01:47,240 Speaker 1: side of business. Well, and I think this is uh 34 00:01:47,560 --> 00:01:49,800 Speaker 1: one thing we're really proud about in the used car 35 00:01:49,880 --> 00:01:53,000 Speaker 1: space is our one price strategy. We know our customers 36 00:01:53,040 --> 00:01:56,600 Speaker 1: really really like that one price strategy. It creates transparency, 37 00:01:57,040 --> 00:02:00,840 Speaker 1: it creates the opportunity for them to uh perhaps get 38 00:02:01,200 --> 00:02:04,120 Speaker 1: a nearly new vehicle something that they may not get 39 00:02:04,840 --> 00:02:08,520 Speaker 1: can't afford when it's a new car. And so we've 40 00:02:08,560 --> 00:02:11,680 Speaker 1: thought about the used car business in a in a 41 00:02:11,760 --> 00:02:16,160 Speaker 1: different way just to standpoint of how it can differentiate automation. 42 00:02:16,600 --> 00:02:19,840 Speaker 1: I think we still have some work to do there, UM, 43 00:02:19,880 --> 00:02:23,680 Speaker 1: but we're working hard at it to UM. We're promintly 44 00:02:23,720 --> 00:02:26,200 Speaker 1: known for our new vehicle sales. It's what it's what 45 00:02:26,320 --> 00:02:29,960 Speaker 1: made us great and delivered on that. And UH, we've 46 00:02:30,120 --> 00:02:34,480 Speaker 1: got five Automation USA stores that are used car only 47 00:02:34,600 --> 00:02:39,480 Speaker 1: that are continuing to improve and we're learning lots of 48 00:02:39,880 --> 00:02:42,920 Speaker 1: exciting insights around where we want to go there. But 49 00:02:43,000 --> 00:02:45,720 Speaker 1: we see that as a significant opportunity for us in 50 00:02:45,760 --> 00:02:49,520 Speaker 1: the future. And um, not to open more uh used 51 00:02:49,560 --> 00:02:53,440 Speaker 1: only stores, but just to learn how we can maximize 52 00:02:53,520 --> 00:02:56,680 Speaker 1: the opportunity for both customers and automation in the used 53 00:02:56,680 --> 00:03:01,079 Speaker 1: car space. Carl Liebert, Presidency of AutoNation. That partly that 54 00:03:01,160 --> 00:03:04,760 Speaker 1: play of sort of understanding the used car sales market 55 00:03:04,800 --> 00:03:07,480 Speaker 1: a little bit better. Is that partly because we are 56 00:03:07,600 --> 00:03:09,880 Speaker 1: late in this credit cycle and you are starting to 57 00:03:09,960 --> 00:03:13,480 Speaker 1: see consumers be a little bit more cautious with where 58 00:03:13,520 --> 00:03:17,079 Speaker 1: they spend. Yeah, I think that's fair to say that 59 00:03:17,160 --> 00:03:19,720 Speaker 1: we're we are late into credit cycle. We we do 60 00:03:19,840 --> 00:03:24,600 Speaker 1: see consumers are are are surprisingly holding up well and 61 00:03:24,639 --> 00:03:27,720 Speaker 1: they're strong and and then the idea that we're probably 62 00:03:27,760 --> 00:03:30,280 Speaker 1: not going to get um, you know, depends on what 63 00:03:30,320 --> 00:03:32,079 Speaker 1: the FED does, but we do we get a rate 64 00:03:32,120 --> 00:03:34,800 Speaker 1: increase or not this year based on some of the 65 00:03:34,880 --> 00:03:38,080 Speaker 1: things UM we're reading and hearing. UM, I think that 66 00:03:38,160 --> 00:03:41,400 Speaker 1: adds stimulus on top of you know, the GDP number 67 00:03:41,440 --> 00:03:44,840 Speaker 1: we saw that just got announced this morning, but it 68 00:03:45,120 --> 00:03:48,320 Speaker 1: may I think the trend that exists that's out there 69 00:03:48,520 --> 00:03:52,560 Speaker 1: is consumers are looking for nearly new vehicles so they 70 00:03:52,560 --> 00:03:56,040 Speaker 1: don't have to take that depreciation when they drive off 71 00:03:56,040 --> 00:03:59,520 Speaker 1: a lot. And and so the ability to provide them 72 00:03:59,520 --> 00:04:03,520 Speaker 1: with the inventory, with the right experience. UM, those are 73 00:04:03,560 --> 00:04:05,960 Speaker 1: the things that we think are real. It could be 74 00:04:06,000 --> 00:04:09,800 Speaker 1: real hallmarks for our strategy going forward. Carl can talk 75 00:04:09,800 --> 00:04:12,880 Speaker 1: a little about the your financial services side of the business. 76 00:04:12,920 --> 00:04:14,920 Speaker 1: I know that's been an area that a focus for 77 00:04:14,960 --> 00:04:18,440 Speaker 1: your for your company and for the growth. Yeah, i'd 78 00:04:18,480 --> 00:04:21,039 Speaker 1: love to so thank you. So you know, we've all 79 00:04:21,320 --> 00:04:25,800 Speaker 1: we've been an industry leader in customer financial services UH 80 00:04:25,839 --> 00:04:28,240 Speaker 1: for quite some time and and and and but in 81 00:04:28,279 --> 00:04:31,240 Speaker 1: the first quarter we saw we were up seven percent 82 00:04:32,360 --> 00:04:35,120 Speaker 1: or a hundred and twenty four dollars per vehicle just 83 00:04:35,279 --> 00:04:38,679 Speaker 1: for what we said is we we launched our private 84 00:04:38,760 --> 00:04:44,120 Speaker 1: label UH Experience in in UH financials, UH customer financial services. 85 00:04:44,160 --> 00:04:45,839 Speaker 1: That was our first what we referred to as a 86 00:04:45,920 --> 00:04:49,919 Speaker 1: brand extension, and we're very pleased with the progress we 87 00:04:50,000 --> 00:04:52,080 Speaker 1: made in the first quarter there. So, Carl, it's interesting. 88 00:04:52,080 --> 00:04:53,720 Speaker 1: One of the things that you know, we've been hearing 89 00:04:53,760 --> 00:04:55,479 Speaker 1: about it from as we take a look at the 90 00:04:55,560 --> 00:04:58,599 Speaker 1: you know, global auto industries, this concept of of peak 91 00:04:58,680 --> 00:05:01,640 Speaker 1: auto at feel about that. I mean, you know, got 92 00:05:01,880 --> 00:05:04,640 Speaker 1: Uber and Lift and so on, and is that a 93 00:05:04,680 --> 00:05:08,039 Speaker 1: concern that you have? Yeah, you know, Look, I think 94 00:05:08,040 --> 00:05:11,120 Speaker 1: the industry is going to be UH down from a 95 00:05:11,120 --> 00:05:16,200 Speaker 1: little over seventeen million to high sixteens UM this year. UM. 96 00:05:16,200 --> 00:05:18,400 Speaker 1: My first week on the on the job, I took 97 00:05:18,440 --> 00:05:20,720 Speaker 1: a team to a weymo and we were out in 98 00:05:20,760 --> 00:05:24,000 Speaker 1: Silicon Valley. We have a partnership with them and we're 99 00:05:24,000 --> 00:05:27,480 Speaker 1: working closely with them in the Phoenix market with several 100 00:05:27,520 --> 00:05:30,839 Speaker 1: pilots UH and UH and I think Uber and Lift 101 00:05:30,920 --> 00:05:32,720 Speaker 1: one of the one of the great things about them 102 00:05:32,839 --> 00:05:35,960 Speaker 1: is UM, people are gonna buy vehicles and then people 103 00:05:36,000 --> 00:05:38,839 Speaker 1: are gonna need those vehicles to be serviced, and that's 104 00:05:38,880 --> 00:05:42,279 Speaker 1: when UH you having stores coast to coast for that 105 00:05:42,720 --> 00:05:46,520 Speaker 1: we can service those vehicles. I think the mobility space 106 00:05:46,640 --> 00:05:50,560 Speaker 1: is going to change and transform. The great news that 107 00:05:50,760 --> 00:05:54,560 Speaker 1: because of our our store locations and our service locations, 108 00:05:54,920 --> 00:05:57,880 Speaker 1: we can play in that space and be a part 109 00:05:57,920 --> 00:06:00,640 Speaker 1: of that that uber or lift dry her as well 110 00:06:00,680 --> 00:06:04,080 Speaker 1: as UH the autonomous space when and if it finally 111 00:06:04,080 --> 00:06:07,400 Speaker 1: gets here. So one thing that you have focused on 112 00:06:07,680 --> 00:06:11,880 Speaker 1: is on new vehicle margins and the idea of not discounting. 113 00:06:12,240 --> 00:06:16,080 Speaker 1: What's the reception been like from consumers to that, Well, 114 00:06:16,279 --> 00:06:19,000 Speaker 1: you know, this is the great thing is is UH 115 00:06:19,040 --> 00:06:23,000 Speaker 1: we had thirty five stores um when the JD Power 116 00:06:23,080 --> 00:06:29,039 Speaker 1: Satisfaction where we were far and away the largest represented there. UM. 117 00:06:29,240 --> 00:06:33,240 Speaker 1: What what's what's interesting is our customers come in and 118 00:06:33,279 --> 00:06:36,680 Speaker 1: they don't like all the I'll call it when I 119 00:06:36,720 --> 00:06:40,080 Speaker 1: say discounting, it's all the different offers and they feel 120 00:06:40,120 --> 00:06:43,600 Speaker 1: like are they getting the best deal? And so as 121 00:06:43,640 --> 00:06:47,040 Speaker 1: we've really managed our inventory as well in the first 122 00:06:47,120 --> 00:06:50,200 Speaker 1: quarter relative to the rest of the industry, making sure 123 00:06:50,279 --> 00:06:53,240 Speaker 1: we have the right vehicles for customers, we're able to 124 00:06:53,279 --> 00:06:55,800 Speaker 1: talk to them UH and and get to a good 125 00:06:55,880 --> 00:06:58,880 Speaker 1: price for them and then not come in at the 126 00:06:58,960 --> 00:07:01,240 Speaker 1: last minute and say, oh can offer this incentive, but 127 00:07:01,320 --> 00:07:03,240 Speaker 1: we can take it. We have this incentive to offer 128 00:07:03,279 --> 00:07:06,760 Speaker 1: you because UM that we don't know that exists and 129 00:07:06,800 --> 00:07:10,400 Speaker 1: we know it exists, especially at the end of quarters 130 00:07:10,920 --> 00:07:14,160 Speaker 1: when that happens, I mean, that doesn't build trust with customers. 131 00:07:14,200 --> 00:07:17,520 Speaker 1: So I'd say from some of the satisfaction awards that 132 00:07:17,560 --> 00:07:20,280 Speaker 1: we were fortunate up to win UM Automation. Customers are 133 00:07:20,320 --> 00:07:23,280 Speaker 1: responding very well to the strategy and the and the 134 00:07:23,320 --> 00:07:26,080 Speaker 1: execution we're running. Carl Libert, thank you so much for 135 00:07:26,160 --> 00:07:29,800 Speaker 1: joining us. Carl's president and CEO of Auto Nation joining 136 00:07:29,840 --> 00:07:49,000 Speaker 1: us on the phone well. A growing practice in residential 137 00:07:49,120 --> 00:07:52,880 Speaker 1: and commercial construction is sustainable construction. One of the ways 138 00:07:53,200 --> 00:07:57,520 Speaker 1: is repurposing shipping containers into living and working environments. To 139 00:07:57,560 --> 00:08:00,560 Speaker 1: help us explain this story, we welcome Paul Alvin, Paul's 140 00:08:00,600 --> 00:08:04,360 Speaker 1: chairman and chief executive officer of SG blocks based in Brooklyn, 141 00:08:04,360 --> 00:08:06,520 Speaker 1: New York, but Paul's joins us and our Bloomberg Interactive 142 00:08:06,520 --> 00:08:09,680 Speaker 1: Brooker Studio. Paul, Welcome to Bloomberg. Give us a sense 143 00:08:09,720 --> 00:08:12,400 Speaker 1: of kind of what you guys do in terms of 144 00:08:12,440 --> 00:08:16,840 Speaker 1: repurposing these containers and how they're used. Sure, so great 145 00:08:16,880 --> 00:08:19,400 Speaker 1: to be here. Thanks for having us and always supporting 146 00:08:19,400 --> 00:08:23,400 Speaker 1: sustainability at Bloomberg. UM. Our business is premised upon taking 147 00:08:23,520 --> 00:08:26,920 Speaker 1: the heavy gage shipping containers that are aggregating in America. 148 00:08:27,040 --> 00:08:31,920 Speaker 1: Because we're a net importer and using proprietary technology, we 149 00:08:32,040 --> 00:08:36,319 Speaker 1: use a very small carbon footprint and turn these intermodal 150 00:08:36,400 --> 00:08:40,320 Speaker 1: units of transportation into into modal units of construction. And 151 00:08:40,400 --> 00:08:47,480 Speaker 1: so our company delivers UH, medical, educational, residential, and commercial 152 00:08:47,480 --> 00:08:52,600 Speaker 1: structures through pre fabricating the finishes of shipping containers that 153 00:08:52,960 --> 00:08:57,160 Speaker 1: sit on flatbed trucks stack nine hide naturally are made 154 00:08:57,200 --> 00:09:00,280 Speaker 1: of a heavy gate steel UH that is an almost 155 00:09:00,360 --> 00:09:03,080 Speaker 1: lead protective It's Corten steel. It's the same steel they 156 00:09:03,120 --> 00:09:06,480 Speaker 1: build bridges with. And so our question is, why wouldn't 157 00:09:06,480 --> 00:09:08,240 Speaker 1: you want to put your family, or your business, or 158 00:09:08,240 --> 00:09:10,960 Speaker 1: your students in the strongest structure you can make. So, 159 00:09:11,160 --> 00:09:12,880 Speaker 1: can you give us a sense of how many of 160 00:09:12,920 --> 00:09:16,560 Speaker 1: these structures have been built and where? Oh, we've delivered 161 00:09:16,720 --> 00:09:19,320 Speaker 1: a structure to forty nine of fifty states and three 162 00:09:19,360 --> 00:09:23,080 Speaker 1: out of seven continents. There are twenty two million containers 163 00:09:23,120 --> 00:09:25,680 Speaker 1: in the world. UM. We work with a company called 164 00:09:25,720 --> 00:09:29,200 Speaker 1: con Global. UH. They manage about six of the domestic 165 00:09:29,240 --> 00:09:32,599 Speaker 1: inventory of containers. So when they come out of circulation, 166 00:09:33,080 --> 00:09:37,000 Speaker 1: we take them and modify them, create windows, doors, take 167 00:09:37,040 --> 00:09:40,320 Speaker 1: outside walls, put them through a modular factory where they 168 00:09:40,360 --> 00:09:46,840 Speaker 1: come out on the other side complete windows, doors, floors, cabinets, appliances, 169 00:09:47,280 --> 00:09:49,400 Speaker 1: and then they get to the site and we we 170 00:09:49,480 --> 00:09:52,320 Speaker 1: install about a thousand square feet an hour. So if 171 00:09:52,360 --> 00:09:55,559 Speaker 1: your structure is five thousand square feet or less, it 172 00:09:55,600 --> 00:09:58,600 Speaker 1: will be erected in a day. So I mean, as 173 00:09:58,640 --> 00:10:00,679 Speaker 1: I come out of Newark Airport and I look at 174 00:10:00,679 --> 00:10:03,360 Speaker 1: the Port of Newark, I see stacks and stacks and 175 00:10:03,400 --> 00:10:06,280 Speaker 1: stacks of these containers. Is that what we're talking about? You, 176 00:10:06,360 --> 00:10:08,040 Speaker 1: that's what we're talking about. Okay? And then I saw 177 00:10:08,120 --> 00:10:10,200 Speaker 1: on your I think on your website you turn these 178 00:10:10,200 --> 00:10:14,640 Speaker 1: things into like a Starbucks. Yeah, in where does all 179 00:10:14,679 --> 00:10:17,680 Speaker 1: that happen? So a lot of it happens at the port, 180 00:10:17,920 --> 00:10:20,280 Speaker 1: and then we have great modular partners to do the 181 00:10:20,320 --> 00:10:24,319 Speaker 1: interior and finish work. But the reason why UH containers 182 00:10:24,320 --> 00:10:27,360 Speaker 1: are such a good form of construction is because they're robust, 183 00:10:27,840 --> 00:10:32,359 Speaker 1: they're abundant, they're recycled, they're much stronger than would construction. 184 00:10:32,520 --> 00:10:34,400 Speaker 1: So how much cheaper is it? And basically what are 185 00:10:34,400 --> 00:10:36,680 Speaker 1: the margins like here for you? So we work on 186 00:10:36,720 --> 00:10:40,440 Speaker 1: a probably a blended margin on our product, but we're 187 00:10:40,520 --> 00:10:44,520 Speaker 1: materially less expensive than urban construction. We can deliver a 188 00:10:44,600 --> 00:10:48,800 Speaker 1: product multi story, multi family, and about the two square 189 00:10:48,800 --> 00:10:51,440 Speaker 1: foot range. And that's when you look at New York, 190 00:10:51,480 --> 00:10:57,600 Speaker 1: Los Angeles, Chicago, Miami. The trust put it, have any 191 00:10:57,720 --> 00:11:02,160 Speaker 1: municipalities or cities approached you about providing housing for the homeless? 192 00:11:02,160 --> 00:11:05,520 Speaker 1: For example, By way of background, I founded and ran 193 00:11:05,720 --> 00:11:08,160 Speaker 1: a homeless age charity for twenty years, which led me 194 00:11:08,200 --> 00:11:10,880 Speaker 1: into this line of work. One of our one of 195 00:11:10,880 --> 00:11:15,320 Speaker 1: our big value propositions is affordable in workforce housing. That 196 00:11:15,760 --> 00:11:19,440 Speaker 1: used to just be regular housing for people. But what's 197 00:11:19,440 --> 00:11:21,880 Speaker 1: happened over the years as we've been kind of brainwashed 198 00:11:21,880 --> 00:11:25,760 Speaker 1: into thinking affordable housing requires the government to subsidize it 199 00:11:25,800 --> 00:11:29,080 Speaker 1: with tax credits or tax certificates. So if a hundred 200 00:11:29,120 --> 00:11:32,120 Speaker 1: people want to do affordable housing, maybe five get the award. 201 00:11:32,640 --> 00:11:36,800 Speaker 1: Because we build so economically, and we build so quickly, 202 00:11:37,160 --> 00:11:39,840 Speaker 1: and you get your revenue in half the time. We're 203 00:11:39,880 --> 00:11:45,479 Speaker 1: able to deliver affordable housing private market, no government subsidy. 204 00:11:45,520 --> 00:11:47,920 Speaker 1: So in New York State takes forty eight months to 205 00:11:47,920 --> 00:11:52,040 Speaker 1: do an affordable housing project, in California sixty months. We 206 00:11:52,080 --> 00:11:54,440 Speaker 1: can do that project start to finish in twelve months. 207 00:11:54,480 --> 00:11:56,360 Speaker 1: Do you ever get pushed back from people who say 208 00:11:56,360 --> 00:11:58,600 Speaker 1: they just don't think it's that pretty, that that basically 209 00:11:58,640 --> 00:12:01,560 Speaker 1: these these containers stacked up, They don't want that in 210 00:12:01,600 --> 00:12:06,400 Speaker 1: their backyard. Um My mom has said that. But okay, 211 00:12:06,640 --> 00:12:09,640 Speaker 1: But to be honest, I don't Whatever house you guys 212 00:12:09,720 --> 00:12:11,600 Speaker 1: live in, we could build it out of containers and 213 00:12:11,640 --> 00:12:14,640 Speaker 1: put the same outside covering the container and you wouldn't know. 214 00:12:14,720 --> 00:12:16,800 Speaker 1: But you'd be living in an earthquake and a hurricane 215 00:12:16,800 --> 00:12:19,600 Speaker 1: resistant house. You can go to our websites. Are structures 216 00:12:19,640 --> 00:12:22,600 Speaker 1: look and feel like every other structure. Wow, and and 217 00:12:22,600 --> 00:12:25,880 Speaker 1: again just the cost differential just on a square foot 218 00:12:25,960 --> 00:12:28,920 Speaker 1: is how much less than like, Oh, in major markets, 219 00:12:28,960 --> 00:12:31,680 Speaker 1: we could be twenty to thirty percent less than traditional 220 00:12:31,760 --> 00:12:34,840 Speaker 1: construction because they have to deal with prevailing wage, meaning 221 00:12:35,080 --> 00:12:38,199 Speaker 1: every person that sets foot on that construction site is 222 00:12:38,240 --> 00:12:41,120 Speaker 1: paid a union wage. We're doing the work in a 223 00:12:41,200 --> 00:12:45,080 Speaker 1: factory in Texas where it's sixty eight degrees. You know, 224 00:12:45,080 --> 00:12:48,520 Speaker 1: it begs the question of course we should do construction indoors? 225 00:12:48,800 --> 00:12:52,080 Speaker 1: Would they build your car and your driveway? Well, just 226 00:12:52,120 --> 00:12:54,200 Speaker 1: real quick here, twenty seconds, you raised almost a billion 227 00:12:54,200 --> 00:12:57,319 Speaker 1: dollars in financing recently, what's it for UM just to 228 00:12:57,640 --> 00:12:59,440 Speaker 1: keep a little cash on the balance sheet. We have 229 00:12:59,480 --> 00:13:01,720 Speaker 1: a very big backlog of a hundred about a million 230 00:13:01,760 --> 00:13:05,160 Speaker 1: square feet to deliver a hundred hundred million bucks, and 231 00:13:05,559 --> 00:13:08,520 Speaker 1: we're looking forward to our first generation of multi story, 232 00:13:08,679 --> 00:13:12,000 Speaker 1: multi family workforce housing projects. One in the Bronx wanted 233 00:13:12,040 --> 00:13:14,920 Speaker 1: meant to sell in New York. So this is something. UH, 234 00:13:15,200 --> 00:13:17,280 Speaker 1: there's gonna be a lot to hear. Construction needs to 235 00:13:17,320 --> 00:13:19,800 Speaker 1: be disruptive. Rents are so high and housers are so 236 00:13:19,880 --> 00:13:23,000 Speaker 1: high because contractors are getting away with murder. They're building 237 00:13:23,000 --> 00:13:25,640 Speaker 1: at five hundred of foot How could you do anything affordable? 238 00:13:26,080 --> 00:13:29,080 Speaker 1: Paul Galvin keeping some some money in his pocket with 239 00:13:29,120 --> 00:13:32,839 Speaker 1: the very nearly billion dollars truly cool story. I love 240 00:13:32,920 --> 00:13:36,080 Speaker 1: this idea. Paul Galvin, head of Sustainable Construction UH company 241 00:13:36,440 --> 00:13:40,360 Speaker 1: SG blocks. Really interesting to see what they're doing and 242 00:13:40,400 --> 00:13:58,880 Speaker 1: how they're using containers well. Despite the better than expected 243 00:13:58,920 --> 00:14:02,000 Speaker 1: GDP number this morning, our next guest has a decidedly 244 00:14:02,080 --> 00:14:05,520 Speaker 1: cautious view of the economy. Tom Attabery is partner and 245 00:14:05,559 --> 00:14:08,559 Speaker 1: portfolio manager for FPA, manages a little over six and 246 00:14:08,559 --> 00:14:10,840 Speaker 1: a half billion dollars based in Los Angeles, but joining 247 00:14:10,920 --> 00:14:14,319 Speaker 1: us live here in our Bloomberg Interactive Brooker Studio. So, Tom, 248 00:14:14,400 --> 00:14:17,200 Speaker 1: what did you see in the GDP report today? Was? 249 00:14:17,240 --> 00:14:20,360 Speaker 1: I mean that three point two percent print? Obviously you know, 250 00:14:20,520 --> 00:14:22,760 Speaker 1: much better than expected. But when you dig down, what 251 00:14:22,800 --> 00:14:24,680 Speaker 1: did you see? Part of the things I dug down 252 00:14:24,720 --> 00:14:26,960 Speaker 1: that that concern me longer term sort of you want 253 00:14:26,960 --> 00:14:29,400 Speaker 1: to think out six months, twelve months than such as 254 00:14:29,440 --> 00:14:33,400 Speaker 1: you had a pretty sizeable contribution from inventory, so they've 255 00:14:33,400 --> 00:14:36,280 Speaker 1: got someone's expecting to sell that merchandise and that that 256 00:14:36,320 --> 00:14:39,400 Speaker 1: always concerns is some If I think about retail sales 257 00:14:39,440 --> 00:14:43,200 Speaker 1: and what's been going on from the consumer, it's okay. 258 00:14:43,320 --> 00:14:45,320 Speaker 1: I guess it's the best way you want to define it. 259 00:14:45,360 --> 00:14:48,160 Speaker 1: I've read some things recently to talk about because you 260 00:14:48,240 --> 00:14:52,960 Speaker 1: have a late easter or passover, that that tends to 261 00:14:53,000 --> 00:14:56,560 Speaker 1: give you better retail sales in a month that happens, 262 00:14:56,960 --> 00:14:59,600 Speaker 1: which then sort of flipped back the other way the 263 00:14:59,640 --> 00:15:02,720 Speaker 1: month afterwards, because it's a fairly odd event to have 264 00:15:03,280 --> 00:15:05,360 Speaker 1: those holidays this late in the season. So if I 265 00:15:05,400 --> 00:15:08,040 Speaker 1: think of that as well, I'm going okay. Working through 266 00:15:08,160 --> 00:15:10,840 Speaker 1: some of that's telling me I really don't have as 267 00:15:10,840 --> 00:15:14,600 Speaker 1: a robust economy, as I think I do, I'm struggling 268 00:15:14,640 --> 00:15:16,640 Speaker 1: to square that with some of the earnings that we've 269 00:15:16,680 --> 00:15:20,560 Speaker 1: seen recently, with for example, Hasbro and Mattel showing that 270 00:15:20,560 --> 00:15:23,680 Speaker 1: that people are still spending on toys and just you know, 271 00:15:23,840 --> 00:15:28,760 Speaker 1: they have disposable income. Amazon came in massive returns, and yes, 272 00:15:28,840 --> 00:15:33,120 Speaker 1: Amazon is is definitely disrupting all of the consumer sector, 273 00:15:33,200 --> 00:15:35,400 Speaker 1: but you're seeing strong results out of others as well. 274 00:15:35,600 --> 00:15:37,520 Speaker 1: And yet here we have the bond market pricing in 275 00:15:37,600 --> 00:15:41,479 Speaker 1: a seventy one chance of a rate cut by January 276 00:15:41,680 --> 00:15:45,240 Speaker 1: next year. That just doesn't seem to square one. Are 277 00:15:45,240 --> 00:15:48,480 Speaker 1: the difficulties that makes the things that you've talked about. 278 00:15:48,560 --> 00:15:52,920 Speaker 1: If we had this conversation ten years ago, twenty years ago, 279 00:15:54,000 --> 00:15:56,680 Speaker 1: I think everything that you said gets easier to as 280 00:15:56,720 --> 00:15:59,360 Speaker 1: you put it square. But now I'm in a position 281 00:15:59,400 --> 00:16:02,560 Speaker 1: where this economy is not driven solely by what it 282 00:16:02,600 --> 00:16:05,600 Speaker 1: does internally. It has to deal with how well does 283 00:16:05,680 --> 00:16:09,200 Speaker 1: China grow. China being much much larger, it's the second 284 00:16:09,280 --> 00:16:12,360 Speaker 1: largest economy in the world, It's had difficulties with growth 285 00:16:12,480 --> 00:16:14,600 Speaker 1: because it's trying to swallow a lot of debt it's 286 00:16:14,640 --> 00:16:18,120 Speaker 1: taken on. And then I look at Europe in just general, right, 287 00:16:18,160 --> 00:16:21,000 Speaker 1: not specific countries, but in general, and realize it is 288 00:16:21,080 --> 00:16:24,000 Speaker 1: having difficulty as well. And the reason I walk through 289 00:16:24,040 --> 00:16:27,280 Speaker 1: that all three of those are fairly into interdependent with 290 00:16:27,320 --> 00:16:30,520 Speaker 1: each other, and so it becomes much less of one 291 00:16:30,560 --> 00:16:33,600 Speaker 1: of Oh, people in the US are buying more toys 292 00:16:33,640 --> 00:16:38,600 Speaker 1: from Hasbro right versus Okay, I've got an extremely slow 293 00:16:38,600 --> 00:16:41,520 Speaker 1: economy going on in Europe, and I've got a slowing 294 00:16:41,520 --> 00:16:44,840 Speaker 1: economy going on in China. Those are playing bigger roles 295 00:16:44,920 --> 00:16:47,920 Speaker 1: in how well do things do? I mean it is 296 00:16:48,160 --> 00:16:50,840 Speaker 1: you are right in the fact that the tax laws 297 00:16:50,880 --> 00:16:55,560 Speaker 1: of help us domestically for the consumer to spend um. 298 00:16:55,560 --> 00:16:57,400 Speaker 1: A year ago, it was much more of I'm going 299 00:16:57,440 --> 00:16:59,640 Speaker 1: to give you a bonus filling the dollars. But what 300 00:16:59,760 --> 00:17:02,120 Speaker 1: was it a thousand, maybe two thousand something in that 301 00:17:02,240 --> 00:17:06,400 Speaker 1: range two that started all to go away, And now 302 00:17:06,440 --> 00:17:08,440 Speaker 1: I've got to deal with well, how is China dealing 303 00:17:08,440 --> 00:17:11,800 Speaker 1: with its debt? You know? How is it dealing with that? 304 00:17:12,040 --> 00:17:14,760 Speaker 1: How is Germany trying to figure out how to export 305 00:17:14,800 --> 00:17:17,240 Speaker 1: to somebody others in China and get things growing again? 306 00:17:17,440 --> 00:17:18,879 Speaker 1: How are the Italians going to get out of the 307 00:17:18,880 --> 00:17:21,359 Speaker 1: mess that they're in and I think that plays a 308 00:17:21,400 --> 00:17:24,720 Speaker 1: bigger role. So as we look out, is there a 309 00:17:24,760 --> 00:17:28,400 Speaker 1: recession in your out look for us? If you look 310 00:17:28,440 --> 00:17:31,359 Speaker 1: at what the bond markets trying to tell you today, 311 00:17:31,720 --> 00:17:34,119 Speaker 1: and granted it will tell you different things, it moves around, 312 00:17:34,320 --> 00:17:38,879 Speaker 1: it's giving you this very flat yield curve, not inverted, 313 00:17:38,920 --> 00:17:42,600 Speaker 1: but it's close, okay, and it's been flattening for a while. 314 00:17:43,000 --> 00:17:46,040 Speaker 1: If I just take what is that trying to tell me, 315 00:17:46,880 --> 00:17:48,840 Speaker 1: and what it tells me is in the twelve day, 316 00:17:48,840 --> 00:17:51,640 Speaker 1: eighteen months from now. If I look at that flat today, 317 00:17:51,800 --> 00:17:54,119 Speaker 1: just think out that long, it's telling me I have 318 00:17:54,200 --> 00:17:58,000 Speaker 1: a bigger and bigger probability of recession occurring if you 319 00:17:58,119 --> 00:18:00,440 Speaker 1: invert it. Especially if you look at a three month 320 00:18:00,520 --> 00:18:04,359 Speaker 1: to ten year and it did invert during March for 321 00:18:05,400 --> 00:18:10,840 Speaker 1: five days. If it inverts for ten days in a row, 322 00:18:11,440 --> 00:18:14,040 Speaker 1: it's a reasonable indicator to tell you, okay, twelve eighteen 323 00:18:14,040 --> 00:18:16,479 Speaker 1: months act you're gonna have an economy slows down. So 324 00:18:16,520 --> 00:18:18,880 Speaker 1: we're fighting with that, and so that's telling me the 325 00:18:18,960 --> 00:18:22,800 Speaker 1: probability of that occurring is becoming elevated, and I need 326 00:18:22,800 --> 00:18:26,240 Speaker 1: to sort of invest with that thought in mind. So 327 00:18:27,200 --> 00:18:30,520 Speaker 1: given all of that, how are you investing? So the 328 00:18:30,520 --> 00:18:33,760 Speaker 1: things that we find attractive. I'll little with that first 329 00:18:34,119 --> 00:18:37,800 Speaker 1: is that, Okay, if I looked at uh fifteen year 330 00:18:37,880 --> 00:18:40,240 Speaker 1: agency mortgage pool, it's two or three years old. So 331 00:18:40,359 --> 00:18:42,760 Speaker 1: is he shoot in two thousand, sixteen or seventeen or 332 00:18:42,800 --> 00:18:46,520 Speaker 1: maybe fifteen. I have very good underrunning standards. I have 333 00:18:46,640 --> 00:18:51,520 Speaker 1: low LTV. I've got something today that's basically a three 334 00:18:51,600 --> 00:18:55,640 Speaker 1: year average life that I can earn two seventy about. 335 00:18:56,640 --> 00:18:58,520 Speaker 1: So that looks attractive is and one of the reasons 336 00:18:58,560 --> 00:19:00,679 Speaker 1: it looks attractive that spread his I a little bit 337 00:19:00,680 --> 00:19:05,320 Speaker 1: over the last year. If I compare that too a 338 00:19:05,320 --> 00:19:11,040 Speaker 1: asset back security with subprime auto loans with about a 339 00:19:11,160 --> 00:19:13,960 Speaker 1: three year average life to it, I get a little 340 00:19:13,960 --> 00:19:17,439 Speaker 1: ower to seventy six. I might get three if I'm lucky. 341 00:19:17,640 --> 00:19:20,080 Speaker 1: I'm gonna wait a second. You mean for twenty or 342 00:19:20,119 --> 00:19:23,080 Speaker 1: twenty five or ten basis points more. I'm taking on 343 00:19:23,119 --> 00:19:25,840 Speaker 1: a three year old used car with a six score 344 00:19:25,920 --> 00:19:28,480 Speaker 1: a hundred LTV, or I can take someone with a 345 00:19:28,520 --> 00:19:33,480 Speaker 1: seven score and a fifty LTV on a house. Trade 346 00:19:33,640 --> 00:19:37,080 Speaker 1: is upper quality trade. So that's on the high quality side. 347 00:19:37,480 --> 00:19:40,560 Speaker 1: When you look at the credit side, it tells you Um, 348 00:19:40,560 --> 00:19:44,520 Speaker 1: you know, I'm back to where I was in February 349 00:19:44,560 --> 00:19:47,360 Speaker 1: of last year, or you know, last fall. We'll wait 350 00:19:47,400 --> 00:19:49,840 Speaker 1: a second. My spread isn't that attractive, My yield isn't 351 00:19:49,880 --> 00:19:52,399 Speaker 1: that attractive. So credit things trip will be in below 352 00:19:53,680 --> 00:19:56,399 Speaker 1: really aren't that attractive either. Let them roll off. So 353 00:19:56,480 --> 00:19:59,000 Speaker 1: it's go up in quality. Try to go as far 354 00:19:59,080 --> 00:20:02,640 Speaker 1: out in maturity as you can without exposing yourself to 355 00:20:02,640 --> 00:20:06,440 Speaker 1: too much interest rate risk. Get as much liquidly as 356 00:20:06,480 --> 00:20:09,800 Speaker 1: you can to your you know, to the point about recession, 357 00:20:10,160 --> 00:20:13,480 Speaker 1: prepare yourself for when that's occurring, and be ready with 358 00:20:13,520 --> 00:20:16,200 Speaker 1: your capital to deploying a different fashion when it happens. 359 00:20:16,200 --> 00:20:19,160 Speaker 1: So it sounds like little to no interest in high yield, 360 00:20:19,200 --> 00:20:22,080 Speaker 1: letting the high yield stuff run off and read employs 361 00:20:22,080 --> 00:20:23,760 Speaker 1: any Is there any areas in high yield you still 362 00:20:23,800 --> 00:20:26,480 Speaker 1: think are attractive today. One of the things about how 363 00:20:26,520 --> 00:20:30,640 Speaker 1: we managed makes a comment about general areas difficult because 364 00:20:30,640 --> 00:20:33,480 Speaker 1: it's not we don't sector base. We're looking for what's 365 00:20:33,480 --> 00:20:36,160 Speaker 1: the risk I'm taking, what's the value of the assets, 366 00:20:36,200 --> 00:20:39,840 Speaker 1: what's the yield I'm getting? So that could take you anywhere, right, 367 00:20:39,960 --> 00:20:42,960 Speaker 1: not a specific sector or another specific sector. There just 368 00:20:43,040 --> 00:20:45,399 Speaker 1: aren't many that that show up. What happens is everything 369 00:20:45,400 --> 00:20:47,600 Speaker 1: you look at the yield is too low given the 370 00:20:47,680 --> 00:20:49,800 Speaker 1: risk that you're taking, and when you value the assets 371 00:20:49,800 --> 00:20:52,520 Speaker 1: in a more distressed fashion or a downturn type of fashion, 372 00:20:52,560 --> 00:20:54,800 Speaker 1: and going wow, I don't have a lot of protection there. 373 00:20:55,000 --> 00:20:57,400 Speaker 1: Every once in a while, we'll find something of interest. 374 00:20:57,640 --> 00:21:01,200 Speaker 1: It might be might be dip loan and someone going 375 00:21:01,240 --> 00:21:04,720 Speaker 1: through reorganization. It might be something beat up and retail. 376 00:21:04,760 --> 00:21:08,240 Speaker 1: It will go you know, that's really okay. It's it's 377 00:21:08,280 --> 00:21:11,240 Speaker 1: really reflects all the bad news and none of the 378 00:21:11,240 --> 00:21:14,159 Speaker 1: potential good news. What are the kind of returns that 379 00:21:14,200 --> 00:21:18,440 Speaker 1: you're telling clients to expect annualized over the next number 380 00:21:18,440 --> 00:21:21,280 Speaker 1: of years. So if you think about what we've just 381 00:21:21,320 --> 00:21:23,480 Speaker 1: been talking about and what you kind of go, Okay, 382 00:21:23,520 --> 00:21:27,040 Speaker 1: what's my best and worst cases? So I think about 383 00:21:27,080 --> 00:21:29,600 Speaker 1: the last three years and how the portfolio has done 384 00:21:30,040 --> 00:21:35,600 Speaker 1: in a rising interest rate environment. Okay, it did about Okay. 385 00:21:36,160 --> 00:21:40,560 Speaker 1: If things just sort of stay where they are, Okay, 386 00:21:40,600 --> 00:21:42,240 Speaker 1: I've got a fee that you've gotta pay, and I'm 387 00:21:42,240 --> 00:21:44,720 Speaker 1: earning somewhere two and three quarters to three at best. 388 00:21:45,160 --> 00:21:47,879 Speaker 1: Maybe that number looks more like two and a half 389 00:21:49,240 --> 00:21:53,920 Speaker 1: and if rates rise from here, Uh, actually probably something 390 00:21:53,960 --> 00:21:55,600 Speaker 1: that looks like two two and a half as well. Go. 391 00:21:55,960 --> 00:21:57,480 Speaker 1: I guess the point is you come back, you should 392 00:21:57,520 --> 00:22:00,440 Speaker 1: kind of ended going a little more than inflation. Nothing 393 00:22:00,440 --> 00:22:03,360 Speaker 1: really great, Tom Adaberry, thank you so much for being 394 00:22:03,400 --> 00:22:06,680 Speaker 1: with us. Tom Adaberry partner and portfolio manager at fp 395 00:22:06,840 --> 00:22:10,320 Speaker 1: A First Specific Advisors. He oversees more than six and 396 00:22:10,320 --> 00:22:13,639 Speaker 1: a half billion dollars f p A about twenty six 397 00:22:13,720 --> 00:22:17,960 Speaker 1: billion dollars. Joining us here in our Bloomberg Interactive Brokers studios. 398 00:22:32,040 --> 00:22:34,760 Speaker 1: Of course, we have our eye today on Intel because 399 00:22:34,840 --> 00:22:38,800 Speaker 1: right now we are looking at what is absolutely its 400 00:22:38,920 --> 00:22:43,560 Speaker 1: worst day since since I think two thousand and eight 401 00:22:43,560 --> 00:22:45,720 Speaker 1: at this point. Joining us now to talk about it 402 00:22:45,720 --> 00:22:49,560 Speaker 1: as Man Deep Sing, he covers the sector for Bloomberg Intelligence. 403 00:22:49,960 --> 00:22:53,720 Speaker 1: What what's your take on it? Well, I guess it 404 00:22:53,800 --> 00:22:56,760 Speaker 1: just goes to show that you know, the chip demand 405 00:22:56,960 --> 00:22:59,840 Speaker 1: is h you know for a company like Intel is 406 00:23:00,880 --> 00:23:05,160 Speaker 1: still you know, trying to recover from you know, the 407 00:23:05,200 --> 00:23:09,160 Speaker 1: sea of the CEO change, and just in general, I 408 00:23:09,160 --> 00:23:13,280 Speaker 1: I guess it's not that obvious for a company like 409 00:23:13,520 --> 00:23:16,280 Speaker 1: Intel that you know, the demand is robust, and you 410 00:23:16,320 --> 00:23:19,719 Speaker 1: know that's that's what we're seeing UM so it's it's 411 00:23:19,800 --> 00:23:21,720 Speaker 1: just amazing they've had a good performance for such a 412 00:23:21,760 --> 00:23:24,040 Speaker 1: long time, they haven't had that miss. But I guess 413 00:23:24,080 --> 00:23:26,400 Speaker 1: it really I guess, I guess the concern is, as 414 00:23:26,400 --> 00:23:28,639 Speaker 1: a call in the question, some of the the growth, 415 00:23:28,680 --> 00:23:31,080 Speaker 1: whether it's cloud or just some of the great spending 416 00:23:31,160 --> 00:23:33,840 Speaker 1: we've been is and I think that is a valid 417 00:23:33,880 --> 00:23:36,879 Speaker 1: concern you think about big tech overall, I would say, 418 00:23:37,080 --> 00:23:41,160 Speaker 1: you know, within tech, there are certain pockets like software, cloud, 419 00:23:41,359 --> 00:23:44,480 Speaker 1: you know, where the tech spending is really strong. When 420 00:23:44,480 --> 00:23:48,320 Speaker 1: it comes to semis and chips, it's kind of the 421 00:23:48,400 --> 00:23:51,200 Speaker 1: investment cycle driven. And what we are seeing right now 422 00:23:51,400 --> 00:23:56,160 Speaker 1: is the investment cycle for chips specifically you know UM 423 00:23:56,280 --> 00:23:59,280 Speaker 1: and and more so towards cloud data centers. That's where 424 00:23:59,320 --> 00:24:02,400 Speaker 1: the spending is going in and that maybe tapering off 425 00:24:02,480 --> 00:24:05,000 Speaker 1: because you know, we have been in this healthy environment 426 00:24:05,040 --> 00:24:07,000 Speaker 1: for such a long time now, so at some point 427 00:24:07,000 --> 00:24:09,639 Speaker 1: the party will end. So the party, I mean, we 428 00:24:09,680 --> 00:24:12,360 Speaker 1: talked about the biggest drop since two thousand and eight 429 00:24:12,400 --> 00:24:15,920 Speaker 1: coming off a really high valuation. I mean, like, let's 430 00:24:15,920 --> 00:24:18,720 Speaker 1: put this in a perspective here. We saw an incredible 431 00:24:18,800 --> 00:24:22,680 Speaker 1: run up in semico conductor stocks and you know, yesterday 432 00:24:22,720 --> 00:24:24,479 Speaker 1: we were speaking with an answering of us in your 433 00:24:24,520 --> 00:24:27,240 Speaker 1: colleague and he was saying, fundamentals have to prove that 434 00:24:27,240 --> 00:24:31,919 Speaker 1: that that these this optimism is correct. How bad is 435 00:24:32,000 --> 00:24:34,280 Speaker 1: this or is this just sort of a reality check? Guys, 436 00:24:34,320 --> 00:24:38,160 Speaker 1: you got ahead of yourselves. Well, I think with Intel 437 00:24:38,320 --> 00:24:42,320 Speaker 1: it's a little bit of a company specific case as well. 438 00:24:42,400 --> 00:24:46,240 Speaker 1: And and what you're seeing right now is uh you know, uh, 439 00:24:46,320 --> 00:24:49,920 Speaker 1: Intel is going through that CEO transition phase as well 440 00:24:49,960 --> 00:24:52,600 Speaker 1: as they missed the boat on mobility somewhat. You know, 441 00:24:52,640 --> 00:24:55,200 Speaker 1: when when I look at the demand for chips, it's 442 00:24:55,240 --> 00:24:58,800 Speaker 1: really geared towards cloud. That's what you don't see, you know, 443 00:24:59,080 --> 00:25:02,199 Speaker 1: um with uh intail or it's not that obvious that 444 00:25:02,280 --> 00:25:06,440 Speaker 1: they're at the forefront of it. And interesting. Manna also 445 00:25:06,480 --> 00:25:09,440 Speaker 1: want to bring in Olivia's Aleski. Olivia's a deal's reporter 446 00:25:09,480 --> 00:25:11,040 Speaker 1: for Bloomberg News. We just wanted to get her thoughts 447 00:25:11,040 --> 00:25:13,240 Speaker 1: a little bit and yours man deep on some of 448 00:25:13,240 --> 00:25:16,080 Speaker 1: the upcoming tech deals. Olivia joins us some our Bloomberg 449 00:25:16,160 --> 00:25:19,080 Speaker 1: nine sixties studio in San Francisco. Olivia, thanks for joining 450 00:25:19,160 --> 00:25:21,919 Speaker 1: us again. We've got some deals coming up on on 451 00:25:22,080 --> 00:25:25,119 Speaker 1: tech what are your thoughts first on the Uber filing? 452 00:25:26,080 --> 00:25:28,920 Speaker 1: Well do you? So, let's remember that Uber filed UH 453 00:25:29,200 --> 00:25:31,600 Speaker 1: a few weeks ago, that what came out this morning 454 00:25:31,680 --> 00:25:34,800 Speaker 1: was just a price range update, and so that companies 455 00:25:34,840 --> 00:25:37,879 Speaker 1: typically do this with they'll file initially with no price 456 00:25:38,000 --> 00:25:40,680 Speaker 1: range in their S one, and then they'll update once 457 00:25:40,720 --> 00:25:42,679 Speaker 1: they get a better sense of the market and what 458 00:25:42,760 --> 00:25:46,080 Speaker 1: the demand is UM and the market is telling them 459 00:25:46,119 --> 00:25:48,600 Speaker 1: to be conservative, which I think is the key sort 460 00:25:48,640 --> 00:25:51,960 Speaker 1: of point here. This morning they went out with a 461 00:25:52,000 --> 00:25:55,840 Speaker 1: forty four to fifty dollar range, which is quite conservative 462 00:25:56,280 --> 00:25:59,720 Speaker 1: and puts Uber's valuation about eighty four billion dollars. And 463 00:25:59,800 --> 00:26:03,439 Speaker 1: let remember that months ago, when bankers first started talking 464 00:26:03,480 --> 00:26:06,120 Speaker 1: to Uber, they were saying your your valuation could be 465 00:26:06,160 --> 00:26:09,119 Speaker 1: at a hundred and twenty billion UM. So this is 466 00:26:09,160 --> 00:26:11,120 Speaker 1: quite a step down for them. But I think it's 467 00:26:11,119 --> 00:26:14,480 Speaker 1: really sort of a kind of come to Jesus moment 468 00:26:14,600 --> 00:26:16,840 Speaker 1: for them to say, Okay, let's be conservative, let's come 469 00:26:16,840 --> 00:26:19,520 Speaker 1: out at a price range that's appropriate, so that we 470 00:26:19,520 --> 00:26:23,160 Speaker 1: can sort of avoid some of the blunders that Lift saw. Yeah, 471 00:26:23,240 --> 00:26:25,920 Speaker 1: and it's really interesting to see that Uber is ratcheting 472 00:26:25,920 --> 00:26:29,960 Speaker 1: back its expectations. Slack also submitted to its plans to 473 00:26:30,040 --> 00:26:32,440 Speaker 1: US regulators to go public, and it actually went through 474 00:26:32,480 --> 00:26:35,760 Speaker 1: an unusual direct listing. Olivia, I'm sure you'll be digging 475 00:26:35,800 --> 00:26:38,880 Speaker 1: through all of that. Olivia's Leski, Bloomberg Deal's Reporter. Also 476 00:26:39,119 --> 00:26:42,160 Speaker 1: our thanks to Man Deep Saying, senior tech industry analyst 477 00:26:42,200 --> 00:26:46,560 Speaker 1: for Bloomberg Intelligence. Uber's I p O filing, slacks, impending listing. 478 00:26:46,600 --> 00:26:49,320 Speaker 1: Sort of interesting to see how both of these are 479 00:26:49,400 --> 00:26:53,320 Speaker 1: coming at a time of really split demand, people demanding 480 00:26:53,320 --> 00:26:57,560 Speaker 1: to see the money. Thanks for listening to the Bloomberg 481 00:26:57,560 --> 00:26:59,960 Speaker 1: pen L podcast. You can subscribe and listen to Inner 482 00:27:00,119 --> 00:27:03,040 Speaker 1: Use at Apple Podcasts or whatever podcast platform you prefer. 483 00:27:03,359 --> 00:27:05,919 Speaker 1: M Paul Sweeney, I'm on Twitter at pt Sweeney. I'm 484 00:27:05,960 --> 00:27:08,880 Speaker 1: Lisa abram Woits I'm on Twitter at Lisa Abramoits. One. 485 00:27:09,080 --> 00:27:11,639 Speaker 1: Before the podcast, you can always catch us worldwide on 486 00:27:11,720 --> 00:27:12,560 Speaker 1: Bloomberg Radio