1 00:00:02,759 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:17,880 Speaker 1: Eastern on Apple Coarclay and Android Auto with the Bloomberg 4 00:00:17,960 --> 00:00:21,080 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:23,120 Speaker 1: or watch us live on YouTube. 6 00:00:23,880 --> 00:00:26,080 Speaker 2: All right, we've been talking a lot about Tesla this morning. 7 00:00:26,120 --> 00:00:29,520 Speaker 2: There delivery numbers came in weaker than expected. We had 8 00:00:29,600 --> 00:00:33,199 Speaker 2: Dan Ives and Webbush Securities on earlier and he was 9 00:00:33,240 --> 00:00:36,280 Speaker 2: just saying, hey, relative to maybe the whisper number, they 10 00:00:36,320 --> 00:00:38,120 Speaker 2: came in a little bit better than expected. Here, let's 11 00:00:38,120 --> 00:00:40,480 Speaker 2: get the broad overview of what's happening at our good 12 00:00:40,479 --> 00:00:44,000 Speaker 2: friends at Tesla stops up about two point eight percent today, 13 00:00:44,040 --> 00:00:46,120 Speaker 2: but it's down about twenty four percent you to date. 14 00:00:46,159 --> 00:00:50,120 Speaker 2: Return to Pierre Farragu, head of Global Technology Infrastructure at 15 00:00:50,159 --> 00:00:51,120 Speaker 2: New Street Research. 16 00:00:51,400 --> 00:00:52,360 Speaker 3: Pierre, thanks so much for. 17 00:00:52,360 --> 00:00:56,280 Speaker 2: Joining us here. How do you think about these Tesla numbers? 18 00:00:56,320 --> 00:00:58,920 Speaker 2: What does it mean for the near and intermediate term 19 00:00:59,040 --> 00:00:59,920 Speaker 2: story at Tesla? 20 00:01:00,160 --> 00:01:01,640 Speaker 3: Yes, as you said, there is a bit of a 21 00:01:01,960 --> 00:01:06,480 Speaker 3: positive surprise, like people tracking very precisely deliveries in various 22 00:01:06,520 --> 00:01:10,039 Speaker 3: markets while expecting slightly lower numbers. The surprise comes from 23 00:01:10,080 --> 00:01:13,560 Speaker 3: the US. The US did is a place where it's 24 00:01:13,560 --> 00:01:15,720 Speaker 3: the most difficult to track the number of Tesla being 25 00:01:15,760 --> 00:01:20,360 Speaker 3: delivered and the US bit expectations. So that's a model 26 00:01:20,400 --> 00:01:23,880 Speaker 3: while coming in doing actually quite well. That's good, But 27 00:01:24,040 --> 00:01:25,760 Speaker 3: then at the end of the day you have to 28 00:01:25,800 --> 00:01:28,959 Speaker 3: remember the big picture. We are down thirteen persons here 29 00:01:29,000 --> 00:01:33,200 Speaker 3: on air. So we are facing a situation where Tesla 30 00:01:33,280 --> 00:01:36,840 Speaker 3: is struggling to sell cars. A gross margin is in 31 00:01:36,880 --> 00:01:41,000 Speaker 3: the latins. To me, Tesla facing good demons should be 32 00:01:41,040 --> 00:01:43,959 Speaker 3: able to defend like mid mid twenties ghost margin. So 33 00:01:44,920 --> 00:01:47,360 Speaker 3: we have like we are facing like a core business, 34 00:01:47,480 --> 00:01:49,240 Speaker 3: not to business that is really at a very low 35 00:01:49,280 --> 00:01:53,320 Speaker 3: point that is struggling. And so that's the difficulty. You have, 36 00:01:53,440 --> 00:01:56,720 Speaker 3: like one structural difficulty that is relatively that we understand 37 00:01:56,760 --> 00:02:00,880 Speaker 3: relatively well. It's that with their current product, Tesla has 38 00:02:01,000 --> 00:02:05,400 Speaker 3: kind of saturated its opportunity. Tesla needs lower highs points 39 00:02:05,520 --> 00:02:08,680 Speaker 3: to keep growing and that's in the plan they're working 40 00:02:08,720 --> 00:02:11,560 Speaker 3: on it. And then you have a number of other issues. 41 00:02:11,600 --> 00:02:14,360 Speaker 3: You know, electric cars are less fashionable than they were 42 00:02:14,400 --> 00:02:17,880 Speaker 3: a couple of years ago. The Tesla brand has suffered, 43 00:02:18,880 --> 00:02:22,239 Speaker 3: particularly in Europe where numbers are down like almost forty 44 00:02:22,240 --> 00:02:27,359 Speaker 3: percent on air and so it is definitely it's difficult 45 00:02:27,440 --> 00:02:31,600 Speaker 3: to quantify, but it is a significant headwind as well. 46 00:02:32,360 --> 00:02:35,720 Speaker 3: And Overhall, you know, the economy is not the best 47 00:02:35,840 --> 00:02:38,239 Speaker 3: you can imagine for Auto DIMA. 48 00:02:38,320 --> 00:02:40,760 Speaker 4: Yeah, I mean when we look at the mag seven stocks, 49 00:02:40,760 --> 00:02:43,639 Speaker 4: we see Tesla as the primary laggard this year, down 50 00:02:43,680 --> 00:02:46,600 Speaker 4: about twenty three percent. And of course we know that 51 00:02:46,639 --> 00:02:49,680 Speaker 4: investors have really been vying for Mask's attention as has 52 00:02:49,680 --> 00:02:52,800 Speaker 4: been really politically involved. So as we're seeing these numbers 53 00:02:52,840 --> 00:02:56,400 Speaker 4: come through, what do things like moving forward? Are these 54 00:02:56,480 --> 00:03:00,320 Speaker 4: numbers a massive impact or are the Tesla loyalists still 55 00:03:00,320 --> 00:03:03,799 Speaker 4: out there? And is there some further positivity to come? 56 00:03:04,240 --> 00:03:07,600 Speaker 3: Yes, you the Testla stock has been on a roller coaster. 57 00:03:08,360 --> 00:03:10,400 Speaker 3: It's like a very low performer this year, but it 58 00:03:10,520 --> 00:03:13,880 Speaker 3: was like a clear outperformer last last year. And as 59 00:03:13,919 --> 00:03:17,160 Speaker 3: you said, you know, it's following, it's following. You know, 60 00:03:17,760 --> 00:03:20,120 Speaker 3: the political care if I may say, of the CEO 61 00:03:21,080 --> 00:03:26,560 Speaker 3: in a musk and like this has created this situation. 62 00:03:27,320 --> 00:03:30,000 Speaker 3: Now if you look at the stock, you know, since 63 00:03:30,120 --> 00:03:33,840 Speaker 3: you know, like April first, what you see that what 64 00:03:34,040 --> 00:03:36,800 Speaker 3: tends to really move the stock is actually the new 65 00:03:36,880 --> 00:03:41,000 Speaker 3: flow around how the company is now focused on deploying 66 00:03:41,240 --> 00:03:45,840 Speaker 3: fleets of robot taxes. They've just started that in a 67 00:03:45,840 --> 00:03:49,720 Speaker 3: couple of weeks ago, like late late last months, and 68 00:03:49,760 --> 00:03:52,360 Speaker 3: I think that's going to be the primary driver of 69 00:03:52,440 --> 00:03:55,880 Speaker 3: the stock going forward. Of course, there is a lot 70 00:03:55,920 --> 00:03:58,960 Speaker 3: of uncertainty on you know, how fast TESTA is going 71 00:03:59,000 --> 00:04:01,320 Speaker 3: to be able to deploy ROBOTEXI. I'll even make your 72 00:04:01,560 --> 00:04:05,440 Speaker 3: proffits like generate the profits out of the robotex Frietz. 73 00:04:06,000 --> 00:04:08,840 Speaker 3: But the size of the price is so gigantic and 74 00:04:08,920 --> 00:04:11,120 Speaker 3: so much more than yotel business that right, this is 75 00:04:11,160 --> 00:04:13,320 Speaker 3: probably what drives us start going forward. 76 00:04:13,880 --> 00:04:15,840 Speaker 2: Pierre, thank you so much for joining us. Always appreciate 77 00:04:15,840 --> 00:04:18,359 Speaker 2: getting your thoughts there. Pierre fargu He's set of Global 78 00:04:18,440 --> 00:04:21,880 Speaker 2: Technology Infrastructure at New Street Research. 79 00:04:23,880 --> 00:04:27,560 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 80 00:04:27,640 --> 00:04:31,039 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 81 00:04:31,120 --> 00:04:34,200 Speaker 1: with the Bloomberg Business App. Listen on demand wherever you 82 00:04:34,240 --> 00:04:37,240 Speaker 1: get your podcasts, or watch us live on YouTube. 83 00:04:38,040 --> 00:04:39,880 Speaker 2: All right, let's get back to Tesla. It's being we've 84 00:04:39,880 --> 00:04:43,160 Speaker 2: been talking about today. They reported some delivery numbers give 85 00:04:43,200 --> 00:04:45,400 Speaker 2: it a little bit light of forecast. Stocks up a 86 00:04:45,400 --> 00:04:47,640 Speaker 2: little bit today and Dan ives and what Bush Security 87 00:04:47,680 --> 00:04:50,160 Speaker 2: suggested that might be because the wish for numbers out 88 00:04:50,160 --> 00:04:53,320 Speaker 2: there were a little bit lower, so the company exceeded them. 89 00:04:53,720 --> 00:04:56,800 Speaker 2: So we're there. But there's surely been some negative sentiment 90 00:04:56,839 --> 00:04:59,560 Speaker 2: around Tesla stock. It's down twenty five percent year to date, 91 00:05:00,120 --> 00:05:04,000 Speaker 2: some concerns about Elon Musk and his commitment to the company. 92 00:05:04,720 --> 00:05:07,599 Speaker 2: But there's still a lot to like out there about 93 00:05:07,640 --> 00:05:10,760 Speaker 2: Tesla if you look at the numbers. And that's what 94 00:05:10,760 --> 00:05:13,240 Speaker 2: our next guest does, Matt Winkler. He's editor in chief 95 00:05:13,240 --> 00:05:17,039 Speaker 2: emeritus of Bloomberg News. He founded Bloomberg News. To me, 96 00:05:17,160 --> 00:05:18,640 Speaker 2: that's the point here, and he joins us here on 97 00:05:18,680 --> 00:05:21,160 Speaker 2: our Bloomberg and Active Broker studio. Matt, thanks so much 98 00:05:21,160 --> 00:05:23,120 Speaker 2: for joining us. You've got to call him out today 99 00:05:23,160 --> 00:05:25,680 Speaker 2: with your colleague Hinte saying, Hey, if you look at 100 00:05:25,720 --> 00:05:28,880 Speaker 2: the numbers here at Tesla, it's an extraordinary story. 101 00:05:29,080 --> 00:05:29,400 Speaker 5: Still. 102 00:05:30,080 --> 00:05:32,680 Speaker 6: Yeah, and I, by the way, thank you for having me. 103 00:05:32,880 --> 00:05:38,440 Speaker 6: And I would invoke our founder Mike Bloomberger himself, who 104 00:05:38,960 --> 00:05:43,200 Speaker 6: when he was Mayor of New York would say often 105 00:05:43,880 --> 00:05:47,200 Speaker 6: in God, we trust everyone else bring data, and so 106 00:05:47,360 --> 00:05:52,040 Speaker 6: the data compiled by Bloomberg shows that this ed startup 107 00:05:52,120 --> 00:05:55,960 Speaker 6: would call Tesla, founded by engineers Martin Eberhart and Mark 108 00:05:56,000 --> 00:05:59,800 Speaker 6: Tarpening in two thousand and three, is still the world's 109 00:05:59,839 --> 00:06:03,360 Speaker 6: low largest automaker, ninth largest public company, and worth more 110 00:06:03,400 --> 00:06:06,320 Speaker 6: than the gross domestic product of Saudi Arabia. And for 111 00:06:06,400 --> 00:06:10,120 Speaker 6: all its might as a global sales leader, Toyota Motor Corp. 112 00:06:10,760 --> 00:06:14,000 Speaker 6: Is about a quarter of Tesla's more than one trillion 113 00:06:14,080 --> 00:06:17,880 Speaker 6: dollar valuation as of today, after the very numbers that 114 00:06:17,920 --> 00:06:19,840 Speaker 6: you reported, and by the way, the stock is up 115 00:06:19,839 --> 00:06:27,080 Speaker 6: the most since June. Okay, so initially the media take 116 00:06:27,320 --> 00:06:30,680 Speaker 6: was negative, negative, negative, and people with the most at stake, 117 00:06:30,720 --> 00:06:34,320 Speaker 6: which is where the data is, say not so fast. 118 00:06:34,760 --> 00:06:36,840 Speaker 6: And there's a reason for that. You know what we 119 00:06:36,920 --> 00:06:39,680 Speaker 6: did my college pay and I is we asked that 120 00:06:39,800 --> 00:06:44,000 Speaker 6: very question. Okay, with all this negative news that is prevailing, 121 00:06:44,160 --> 00:06:47,400 Speaker 6: that is the prevailing narrative. Why is that, through thick 122 00:06:47,440 --> 00:06:51,080 Speaker 6: and thin every single month this year, Tesla is still 123 00:06:51,120 --> 00:06:57,800 Speaker 6: worth more than Toyota, and Bloomberg's own alternative artificial intelligence 124 00:06:57,839 --> 00:07:03,000 Speaker 6: function DSX tells there are plenty of reasons. One is 125 00:07:03,040 --> 00:07:08,000 Speaker 6: that if you just took out the vehicle itself. There's 126 00:07:08,040 --> 00:07:12,880 Speaker 6: still a trillion dollar market capitalization on the autonomous striving 127 00:07:13,240 --> 00:07:17,080 Speaker 6: that is coming soon to everyone through Tesla. So there 128 00:07:17,080 --> 00:07:19,600 Speaker 6: are all kinds of reasons why Tesla has the value 129 00:07:19,640 --> 00:07:21,080 Speaker 6: that it has. But I would like to share with 130 00:07:21,120 --> 00:07:23,680 Speaker 6: you something that I got from a Bloomberg user this 131 00:07:23,760 --> 00:07:27,240 Speaker 6: morning at an email. He said, we don't need AI 132 00:07:27,400 --> 00:07:31,520 Speaker 6: to understand why Tesla critics are losing. Critics are either 133 00:07:31,560 --> 00:07:35,920 Speaker 6: motivated by hate we've seen that politics, or a misunderstanding 134 00:07:35,920 --> 00:07:39,800 Speaker 6: of time. Tesla represents the most extraordinary array of products, 135 00:07:39,840 --> 00:07:42,520 Speaker 6: some of which are destined to become core components of 136 00:07:42,560 --> 00:07:46,800 Speaker 6: the future economy and life of humanity. That's from our 137 00:07:47,200 --> 00:07:51,800 Speaker 6: Bloomberg user, John Billings, who's in Washington, DC. So this 138 00:07:51,880 --> 00:07:54,000 Speaker 6: is a big part of the story that everybody misses. 139 00:07:54,040 --> 00:07:57,560 Speaker 6: And if you just look at quarterly sales reports, that's 140 00:07:57,560 --> 00:07:58,960 Speaker 6: not going to give you the picture. But I would 141 00:07:59,040 --> 00:08:02,240 Speaker 6: say even in that context, the Model Why was the 142 00:08:02,280 --> 00:08:05,720 Speaker 6: best selling vehicle in the world in twenty twenty three, 143 00:08:06,280 --> 00:08:10,160 Speaker 6: twenty twenty four, and poised to be certainly the best 144 00:08:10,400 --> 00:08:15,200 Speaker 6: ev selling vehicle in twenty twenty five and maybe again 145 00:08:15,440 --> 00:08:19,320 Speaker 6: repeat and the reason why the deliveries were slow in 146 00:08:19,360 --> 00:08:23,600 Speaker 6: the first in the second quarter was because they were retooling, renovating, 147 00:08:24,320 --> 00:08:28,520 Speaker 6: updating the model. Why sales are way up in Norway 148 00:08:28,760 --> 00:08:31,680 Speaker 6: and Spain by the way, so so much for the 149 00:08:31,720 --> 00:08:32,679 Speaker 6: demand problem. 150 00:08:32,720 --> 00:08:35,000 Speaker 4: How are you thinking about it in relation to peers? 151 00:08:35,040 --> 00:08:36,480 Speaker 4: I mean, I know a lot of people have really 152 00:08:36,480 --> 00:08:41,439 Speaker 4: been clamoring for Musk to turn his attention back to Tesla. 153 00:08:41,520 --> 00:08:42,800 Speaker 4: And I mean when you think about some of these 154 00:08:42,920 --> 00:08:46,040 Speaker 4: numbers that were parsing, as you mentioned, and your story 155 00:08:46,600 --> 00:08:48,840 Speaker 4: that everything about Tesla these days has really been ranging 156 00:08:48,840 --> 00:08:51,320 Speaker 4: from bad to worse. So when you think about the 157 00:08:51,320 --> 00:08:55,200 Speaker 4: future of the company in comparison to peers, you know, 158 00:08:55,240 --> 00:08:57,640 Speaker 4: what are just some of the things that you expect 159 00:08:57,960 --> 00:08:59,880 Speaker 4: in terms of performance moving forward? 160 00:09:00,000 --> 00:09:02,480 Speaker 6: Well, let's just look at the past ten years. By 161 00:09:02,480 --> 00:09:08,679 Speaker 6: the way, twenty fifteen, most of the analysts that provide 162 00:09:08,720 --> 00:09:12,200 Speaker 6: forecasts were negative about Tesla. Barrish, don't buy the stock. 163 00:09:12,679 --> 00:09:18,280 Speaker 6: But what happened. Tesla's ninety seven point seven billion dollars 164 00:09:18,320 --> 00:09:21,559 Speaker 6: of revenue last year is more than thirty times it's 165 00:09:21,600 --> 00:09:26,920 Speaker 6: sales a decade ago. Now that outperforms even China's byd Okay, 166 00:09:27,040 --> 00:09:30,439 Speaker 6: which has been the star of late in the media narrative. 167 00:09:32,000 --> 00:09:38,280 Speaker 6: But if you look at something like Tesla's earnings before interest, taxes, depreciation, hamorgtization, 168 00:09:39,000 --> 00:09:42,120 Speaker 6: it's more than three hundred times the company's profit a 169 00:09:42,160 --> 00:09:47,720 Speaker 6: decade ago. Number two byd grew only fifteen times. You know, 170 00:09:47,840 --> 00:09:51,480 Speaker 6: if you look at Tesla's current market capitalization, it's thirty 171 00:09:51,559 --> 00:09:55,000 Speaker 6: one times it's value a decade ago, which is just 172 00:09:55,080 --> 00:09:58,280 Speaker 6: another way of saying that among the top ten automakers 173 00:09:58,760 --> 00:10:03,000 Speaker 6: that Tesla competes with, Tesla's revenue growth, it's profit, and 174 00:10:03,040 --> 00:10:07,199 Speaker 6: its market value are superior, according to data compiled by Bloomberg. 175 00:10:07,559 --> 00:10:12,439 Speaker 2: Always brand value. Last question, One could argue the evaluation 176 00:10:12,520 --> 00:10:16,480 Speaker 2: has always had a big, big Elon Musk premium based 177 00:10:16,480 --> 00:10:21,199 Speaker 2: into it. His brand arguably has been diminished over the 178 00:10:21,280 --> 00:10:24,400 Speaker 2: last six months with his political actions in doge A. 179 00:10:24,640 --> 00:10:26,600 Speaker 2: Is that a concern or should it be a concern 180 00:10:26,679 --> 00:10:28,840 Speaker 2: for investors? And you think is there a long term 181 00:10:28,880 --> 00:10:29,760 Speaker 2: brand issue? 182 00:10:29,760 --> 00:10:30,360 Speaker 4: Do you think so? 183 00:10:30,520 --> 00:10:34,600 Speaker 6: I'm not qualified to answer that question, However, somebody who 184 00:10:35,200 --> 00:10:38,200 Speaker 6: probably is is Nicholas Coelis, who's the co founder of 185 00:10:38,280 --> 00:10:41,160 Speaker 6: Data Trek, and he's been covering the auto industry since 186 00:10:41,200 --> 00:10:45,480 Speaker 6: the nineteen eighties, which is kind of when I sort 187 00:10:45,480 --> 00:10:50,679 Speaker 6: of entered the picture and he says, there's something that 188 00:10:50,880 --> 00:10:55,000 Speaker 6: is no Algo spreadsheet can understand, which is why hero 189 00:10:55,160 --> 00:10:57,600 Speaker 6: led companies are often so valuable. Yep, yep. 190 00:10:57,640 --> 00:11:00,600 Speaker 2: Interesting. All right, Matt, great column as always. Matt Winkler, 191 00:11:00,720 --> 00:11:04,960 Speaker 2: Editor in chief, Emeritis, founder of Bloomberg News. I think 192 00:11:04,960 --> 00:11:07,720 Speaker 2: he drives around one of these Tesla things. I kind 193 00:11:07,720 --> 00:11:10,200 Speaker 2: of went there last time. I got my young youngest 194 00:11:10,520 --> 00:11:13,280 Speaker 2: a hybrid Honda, so I'm kind of getting there. But 195 00:11:13,640 --> 00:11:15,720 Speaker 2: give me the hey close, give me the gass. 196 00:11:16,320 --> 00:11:17,320 Speaker 5: Mapple. Thank you so much. 197 00:11:17,360 --> 00:11:18,160 Speaker 2: We appreciate that. 198 00:11:19,840 --> 00:11:23,520 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 199 00:11:23,600 --> 00:11:27,000 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 200 00:11:27,120 --> 00:11:30,160 Speaker 1: with the Bloomberg Business app, Listen on demand wherever you 201 00:11:30,200 --> 00:11:33,200 Speaker 1: get your podcasts, or watch us live on YouTube. 202 00:11:34,000 --> 00:11:36,840 Speaker 2: I'd say one of the more competitive industries I see 203 00:11:36,840 --> 00:11:39,080 Speaker 2: out there day in and day out. As a wireless business. 204 00:11:39,120 --> 00:11:42,000 Speaker 2: You got the Big three, eighteen T Verizon, Team Mobile, 205 00:11:42,040 --> 00:11:45,280 Speaker 2: and I mean it's all on price. I mean it's 206 00:11:45,320 --> 00:11:47,760 Speaker 2: all kind of the same. I don't know that. Being said, 207 00:11:47,800 --> 00:11:50,720 Speaker 2: I've been with Verizon since the beginning of wireless, so 208 00:11:50,760 --> 00:11:53,760 Speaker 2: maybe likewise get no churing going there. John Butler, he 209 00:11:53,760 --> 00:11:56,600 Speaker 2: covers all this stuff for Bloomberg Intelligence. John Butler, senior 210 00:11:57,040 --> 00:11:59,680 Speaker 2: telecom anaists for Bloomberg Intelligence. He's based down there in 211 00:11:59,720 --> 00:12:03,000 Speaker 2: print in New Jersey. John, what's the state of the 212 00:12:03,040 --> 00:12:07,440 Speaker 2: wireless industry today? Again, you've got those big three? How competitive? 213 00:12:07,520 --> 00:12:09,640 Speaker 5: Is it? Hyper competitive? Paul? 214 00:12:09,720 --> 00:12:12,640 Speaker 7: It really is interesting. Just as you said, there's a 215 00:12:12,720 --> 00:12:16,880 Speaker 7: lot the Big three at and T verizing T Mobile. 216 00:12:16,920 --> 00:12:19,760 Speaker 7: They're always slugging it out with themselves. But now that 217 00:12:19,840 --> 00:12:24,200 Speaker 7: you've got the cable operators coming in offering wireless at 218 00:12:24,360 --> 00:12:28,760 Speaker 7: very enticing price points, and their brand strength is getting better, 219 00:12:28,840 --> 00:12:31,680 Speaker 7: and so they're becoming more and more of an issue 220 00:12:32,240 --> 00:12:35,440 Speaker 7: quarter and in quarter about well, we as analysts sort 221 00:12:35,440 --> 00:12:38,840 Speaker 7: of measure as the health of a telecom and any 222 00:12:38,840 --> 00:12:41,760 Speaker 7: given quarter as we look at the number of net 223 00:12:41,800 --> 00:12:46,200 Speaker 7: news smartphone subscribers that carrier ads or phone net ads 224 00:12:46,200 --> 00:12:49,400 Speaker 7: as they're called. And what we've seen every quarter is 225 00:12:49,440 --> 00:12:52,720 Speaker 7: the cable operators now are getting even up to half 226 00:12:52,800 --> 00:12:56,280 Speaker 7: the net ads in a given quarter, So they're becoming 227 00:12:56,320 --> 00:13:00,160 Speaker 7: a big factor. Having said all that, I'm impressed with 228 00:13:00,280 --> 00:13:04,720 Speaker 7: how the carriers are keeping their service revenue growth pretty steady. 229 00:13:05,320 --> 00:13:07,880 Speaker 7: You know, telecom is not a growth business. So if 230 00:13:07,880 --> 00:13:11,400 Speaker 7: you're getting three to five percent growth in your service revenue, 231 00:13:12,080 --> 00:13:14,360 Speaker 7: it's a pretty good quarter. And I think we're in 232 00:13:14,440 --> 00:13:18,319 Speaker 7: for more of that this quarter with the exception of Horizon. 233 00:13:18,360 --> 00:13:20,120 Speaker 7: Then we can talk more about that if. 234 00:13:20,080 --> 00:13:21,839 Speaker 5: You want, John. 235 00:13:22,120 --> 00:13:24,680 Speaker 4: When I think about wireless carriers and I think about 236 00:13:24,720 --> 00:13:26,680 Speaker 4: some of these phone providers, it feels as though everyone 237 00:13:26,720 --> 00:13:28,920 Speaker 4: has their brand that they stick to. And as we 238 00:13:28,920 --> 00:13:31,080 Speaker 4: were mentioning earlier, does it really feel like there's necessarily 239 00:13:31,160 --> 00:13:34,959 Speaker 4: anything to entice people to hop around? But given all 240 00:13:34,960 --> 00:13:37,240 Speaker 4: of this in regards to marketing or really just being 241 00:13:37,280 --> 00:13:41,319 Speaker 4: able to drive demand, where are you seeing? Which company 242 00:13:41,360 --> 00:13:42,800 Speaker 4: are you seeing as the biggest leader here? 243 00:13:43,160 --> 00:13:47,280 Speaker 5: Team Mobile is the runaway hit Nora. It's amazing. They really. 244 00:13:48,960 --> 00:13:52,320 Speaker 7: Team Mobile Tuesdays, they have giveaways once a week. They're 245 00:13:52,640 --> 00:13:57,840 Speaker 7: brilliant marketers, just brilliant, And it's funny if you rewind 246 00:13:57,880 --> 00:14:01,040 Speaker 7: the clock fifteen years they had a near death experience, 247 00:14:01,120 --> 00:14:03,040 Speaker 7: Like I didn't think that carrier was going. 248 00:14:03,000 --> 00:14:05,520 Speaker 5: To make it. They brought in a very. 249 00:14:05,400 --> 00:14:09,960 Speaker 7: Dynamic CEO named John Ledger, who really turned around the brand. 250 00:14:10,000 --> 00:14:13,960 Speaker 7: He made himself the face of the brand. They branded 251 00:14:14,000 --> 00:14:18,400 Speaker 7: it as this sort of hip, counter culture, consumer friendly brand. 252 00:14:19,040 --> 00:14:22,000 Speaker 7: People just love it. And in the meantime, they've done 253 00:14:22,040 --> 00:14:25,800 Speaker 7: a great job updating the network and upgrading it so 254 00:14:26,920 --> 00:14:29,600 Speaker 7: and after buying Sprint, of course, they now have the 255 00:14:29,680 --> 00:14:32,680 Speaker 7: scale to really compete with AT and T and Verizon. 256 00:14:32,720 --> 00:14:36,200 Speaker 7: They've gone from a distant third in the industry to 257 00:14:36,320 --> 00:14:40,560 Speaker 7: now the second largest wireless carrier. And they just they 258 00:14:40,720 --> 00:14:44,400 Speaker 7: lead the industry and net ads quarter in in quarter out, 259 00:14:45,280 --> 00:14:47,800 Speaker 7: which is a testament to the power of their marketing. 260 00:14:48,440 --> 00:14:51,480 Speaker 2: All Right, I'm a Verizon wireless customer, been one since 261 00:14:51,520 --> 00:14:54,440 Speaker 2: the beginning of this whole wireless thing. Me too, by 262 00:14:54,520 --> 00:14:57,400 Speaker 2: the way, exactly, So what's the story for those guys 263 00:14:57,440 --> 00:14:59,640 Speaker 2: in terms of how they're dealing with the competition. 264 00:15:00,160 --> 00:15:03,760 Speaker 7: I think it's easy to sort of play armchair CEO here, 265 00:15:03,800 --> 00:15:07,520 Speaker 7: but I think Verizon is making a bit of a 266 00:15:07,600 --> 00:15:11,880 Speaker 7: mistake by not meeting rivals in promotions. They really take 267 00:15:11,920 --> 00:15:15,800 Speaker 7: the high ground. They want to protect a premium brand image. 268 00:15:15,800 --> 00:15:18,680 Speaker 7: For years and years they had the best network out there. 269 00:15:18,800 --> 00:15:21,680 Speaker 7: I still think they have the edge there, but that 270 00:15:21,760 --> 00:15:24,560 Speaker 7: gap is closing, particularly in the minds of a lot 271 00:15:24,600 --> 00:15:28,560 Speaker 7: of consumers that don't follow the industry. T Mobile keeps 272 00:15:28,600 --> 00:15:31,440 Speaker 7: banging away that they have the best network in the US, 273 00:15:31,520 --> 00:15:35,040 Speaker 7: and so that sort of premium brand image that Verizon 274 00:15:35,120 --> 00:15:37,720 Speaker 7: had is beginning to erode. 275 00:15:37,840 --> 00:15:41,240 Speaker 5: And yet they're not meeting T Mobile or the cable. 276 00:15:40,920 --> 00:15:45,840 Speaker 7: Guys sort of you know, tip for tad on promotions 277 00:15:45,960 --> 00:15:50,040 Speaker 7: and so on the margin. In recent quarters at least 278 00:15:50,080 --> 00:15:54,240 Speaker 7: they've lost phone subscribers. Not a lot, but it's beginning 279 00:15:54,240 --> 00:15:57,160 Speaker 7: to really chip away for them, and it's chipping away 280 00:15:57,200 --> 00:16:02,160 Speaker 7: at their service revenue growth again because I just don't 281 00:16:02,200 --> 00:16:03,600 Speaker 7: think they're promoting enough. 282 00:16:04,680 --> 00:16:04,920 Speaker 5: John. 283 00:16:05,000 --> 00:16:08,120 Speaker 4: So you've got the big three, what is the leadest 284 00:16:08,160 --> 00:16:10,440 Speaker 4: with M and A in the space? Is there anything 285 00:16:10,520 --> 00:16:11,440 Speaker 4: left to consolidate? 286 00:16:12,160 --> 00:16:13,160 Speaker 5: Not much, Nora. 287 00:16:13,320 --> 00:16:17,640 Speaker 7: You know there's been where the telcos are really looking 288 00:16:17,680 --> 00:16:20,880 Speaker 7: for growth is on the broadband side, and you've seen 289 00:16:20,920 --> 00:16:26,800 Speaker 7: a lot of consolidation there with the Verizon most recently 290 00:16:26,840 --> 00:16:30,520 Speaker 7: buying Frontier, which is a big fiber provider. They really 291 00:16:30,560 --> 00:16:35,680 Speaker 7: have strength in several states across the US. AT and 292 00:16:35,720 --> 00:16:38,440 Speaker 7: T has done a really good job. They're buying Luman's 293 00:16:38,520 --> 00:16:42,920 Speaker 7: fiber business. So you've got consolidation there on the wireless side. 294 00:16:43,000 --> 00:16:45,280 Speaker 7: You've seen t mobiles snapping up a lot of the 295 00:16:45,400 --> 00:16:52,240 Speaker 7: independent and private prepaid brands like Mint Mobile is one 296 00:16:52,240 --> 00:16:55,120 Speaker 7: of their most recent They're buying TDS, which is a 297 00:16:55,160 --> 00:16:59,760 Speaker 7: small regional wireless carrier. So there really is nothing left 298 00:16:59,800 --> 00:17:03,680 Speaker 7: here or except for big transformational acquisitions, and they really 299 00:17:03,720 --> 00:17:05,800 Speaker 7: would be gigantic on that scale. 300 00:17:06,240 --> 00:17:07,879 Speaker 5: So I'm just not seeing it. 301 00:17:08,119 --> 00:17:10,639 Speaker 2: So John, just real quickly here, is this an r 302 00:17:10,720 --> 00:17:13,960 Speaker 2: POO story? Is this just raising prices to consumers? Is 303 00:17:13,960 --> 00:17:16,919 Speaker 2: that the growth story here for most of these big. 304 00:17:16,800 --> 00:17:21,200 Speaker 7: Guys, it's raising it's raising prices, Paul, Definitely, that's how 305 00:17:21,200 --> 00:17:24,480 Speaker 7: you're getting that three to five percent service revenue growth. 306 00:17:24,480 --> 00:17:26,560 Speaker 7: But I think another part of the story and one 307 00:17:26,640 --> 00:17:30,800 Speaker 7: to watch is that Telco expansion into broadband. They're doing 308 00:17:30,840 --> 00:17:35,239 Speaker 7: a great job there expanding into fiber and both that 309 00:17:35,440 --> 00:17:39,520 Speaker 7: and fixed wireless access which is getting broadband over the air. 310 00:17:40,200 --> 00:17:41,879 Speaker 7: So I think we're going to see a lot of 311 00:17:41,880 --> 00:17:45,600 Speaker 7: growth and increasing amount of growth to be precise, in 312 00:17:45,680 --> 00:17:48,320 Speaker 7: coming quarters coming from that end of the business. 313 00:17:48,600 --> 00:17:50,280 Speaker 2: All right, John, thanks so much for joining us. Always 314 00:17:50,280 --> 00:17:53,280 Speaker 2: appreciate getting update from you. John Butler. He's a senior 315 00:17:53,320 --> 00:17:56,280 Speaker 2: telecom analyst for Bloomberg Intelligence. He's based down there in 316 00:17:56,320 --> 00:18:00,560 Speaker 2: our Princeton office looking at this the telecom stocks here, 317 00:18:00,760 --> 00:18:03,000 Speaker 2: they've actually got some decent returns this year. I was 318 00:18:03,000 --> 00:18:07,440 Speaker 2: looking at the AT and T, Verizon, T Mobile, AT 319 00:18:07,560 --> 00:18:10,800 Speaker 2: and T year to dates up twenty five percent, Verizon's 320 00:18:10,880 --> 00:18:13,080 Speaker 2: up nine percent, and T Mobiles up eight percent, and 321 00:18:13,160 --> 00:18:16,600 Speaker 2: on a trailing twelve month basis EIGHTE and T's up 322 00:18:16,720 --> 00:18:20,200 Speaker 2: fifty percent, Verizon six percent, and T Mobile thirty three percent. 323 00:18:20,280 --> 00:18:22,959 Speaker 2: So for stocks that kind of grow top line, as 324 00:18:23,040 --> 00:18:24,919 Speaker 2: John was saying, kind of three eight to five percent, 325 00:18:25,520 --> 00:18:28,120 Speaker 2: some pretty decent returns as they try to expand their 326 00:18:28,119 --> 00:18:31,359 Speaker 2: business lines away from their core wireline and wireless and 327 00:18:31,600 --> 00:18:33,719 Speaker 2: get increasingly into broadbands. So we'll keep an eye on 328 00:18:33,720 --> 00:18:35,639 Speaker 2: some of those telecom names. 329 00:18:37,320 --> 00:18:41,000 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 330 00:18:41,080 --> 00:18:44,560 Speaker 1: weekdays at ten am Eastern on Applecarcklay and Android Auto 331 00:18:44,600 --> 00:18:47,639 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 332 00:18:47,680 --> 00:18:50,840 Speaker 1: get your podcasts, or watch us live on YouTube. 333 00:18:51,240 --> 00:18:54,000 Speaker 2: Jeffrey Palmer joins as Senior vice president, head of Multi 334 00:18:54,400 --> 00:18:58,000 Speaker 2: Asset Solutions. I'm not sure what that is, but I'm 335 00:18:58,000 --> 00:19:00,000 Speaker 2: going to say it has to do with some alternative investment, 336 00:19:00,280 --> 00:19:04,680 Speaker 2: maybe some real investments like real estate. Jeff, thanks so 337 00:19:04,720 --> 00:19:07,520 Speaker 2: much for joining us here. Coeny Steers, I've known this 338 00:19:08,520 --> 00:19:11,480 Speaker 2: asset manager on the street forever, but I've never done 339 00:19:11,520 --> 00:19:15,040 Speaker 2: business with them because you don't really own media stocks, 340 00:19:15,040 --> 00:19:18,359 Speaker 2: which was my game. You guys own real estate reads 341 00:19:18,640 --> 00:19:21,639 Speaker 2: stuff like that. Talk to us about your how you 342 00:19:21,680 --> 00:19:23,679 Speaker 2: guys look at the marketplace where you see opportunity. 343 00:19:23,880 --> 00:19:26,719 Speaker 8: Yeah, so thanks for having me this morning. So we focus, 344 00:19:26,760 --> 00:19:29,800 Speaker 8: as you mentioned, on real assets and alternative income strategies, 345 00:19:29,800 --> 00:19:36,080 Speaker 8: and those real assets strategies in particular real estate, infrastructure, commodities, 346 00:19:36,400 --> 00:19:39,320 Speaker 8: natural resource equities, in short, things that are exposed to 347 00:19:39,359 --> 00:19:41,840 Speaker 8: the real economy that have real ties to the economy, 348 00:19:42,400 --> 00:19:46,000 Speaker 8: inflation sensitive assets. So that's certainly been a really important 349 00:19:46,000 --> 00:19:49,199 Speaker 8: part of the world these days. And then that all 350 00:19:49,280 --> 00:19:51,960 Speaker 8: kind of fits in also to that alternatives universe that 351 00:19:52,359 --> 00:19:56,280 Speaker 8: we think offers diversification to your traditional stock and bond portfolio. 352 00:19:56,880 --> 00:20:00,639 Speaker 4: So I cover Reads for our equities teams. Super happy 353 00:20:00,640 --> 00:20:01,280 Speaker 4: to have you here. 354 00:20:01,760 --> 00:20:02,560 Speaker 8: As I'm looking at. 355 00:20:02,480 --> 00:20:05,399 Speaker 4: Read's performance this year, I mean, we're seeing shares that 356 00:20:05,680 --> 00:20:08,200 Speaker 4: didn't really do much. I'm looking at engageentsuff about four 357 00:20:08,240 --> 00:20:11,000 Speaker 4: tenths of a percent so far this year. What are 358 00:20:11,000 --> 00:20:13,840 Speaker 4: you seeing in terms of performance and opportunities within the 359 00:20:13,840 --> 00:20:16,359 Speaker 4: read space, any particular sub sectors that you're keeping an 360 00:20:16,400 --> 00:20:16,679 Speaker 4: eye on. 361 00:20:16,960 --> 00:20:18,840 Speaker 8: Yeah, so, I mean we should also kind of think 362 00:20:18,880 --> 00:20:21,280 Speaker 8: about the year has already been full of a whole 363 00:20:21,280 --> 00:20:23,600 Speaker 8: bunch of rotation. It was a pretty good first quarter 364 00:20:23,800 --> 00:20:25,520 Speaker 8: for reads. They've cooled off a little bit in the 365 00:20:25,520 --> 00:20:27,920 Speaker 8: second quarter, and that sort of is the mirror image 366 00:20:28,160 --> 00:20:31,920 Speaker 8: from the broader SMP. Broadly speaking, we think that reads 367 00:20:31,960 --> 00:20:35,520 Speaker 8: are pretty fairly valued, actually, you know, attractive relative to 368 00:20:35,920 --> 00:20:39,840 Speaker 8: broader equity markets. Within the reed space, you know, there's 369 00:20:39,840 --> 00:20:43,080 Speaker 8: certain areas that we like, and then within the within 370 00:20:43,119 --> 00:20:45,960 Speaker 8: the private real estate space, I would also add, you know, 371 00:20:46,000 --> 00:20:49,160 Speaker 8: there's areas like open air shopping centers that have become 372 00:20:49,440 --> 00:20:51,320 Speaker 8: you know, to us, we think our finding a bottom 373 00:20:51,320 --> 00:20:53,679 Speaker 8: and in that private space is a little bit different 374 00:20:54,000 --> 00:20:55,400 Speaker 8: than the listed space as well. 375 00:20:56,080 --> 00:20:58,600 Speaker 2: In private space, Let's just like I always made the 376 00:20:58,640 --> 00:21:02,080 Speaker 2: mistake of commercial real estate just oh it's office so 377 00:21:02,200 --> 00:21:05,359 Speaker 2: much more. I've now learned that through people kind of 378 00:21:05,400 --> 00:21:07,600 Speaker 2: pointing it out to me. Where do in commercial real 379 00:21:07,680 --> 00:21:09,800 Speaker 2: estate broadly defined, where do you guys see value in 380 00:21:09,840 --> 00:21:10,440 Speaker 2: the private side. 381 00:21:10,520 --> 00:21:13,560 Speaker 8: Yeah, so Nora will tell you that office is only 382 00:21:13,600 --> 00:21:17,240 Speaker 8: about three or four percent of the total listed index. 383 00:21:17,280 --> 00:21:20,480 Speaker 8: Now that's down and our team has been underweight office 384 00:21:20,520 --> 00:21:23,120 Speaker 8: for a long time, and so we've really benefited from 385 00:21:23,200 --> 00:21:26,560 Speaker 8: that trade. So within that space I mentioned in the 386 00:21:26,560 --> 00:21:29,440 Speaker 8: private space, that open air retail, it looks a little 387 00:21:29,440 --> 00:21:32,480 Speaker 8: bit better. In listed markets, we favored things like multi 388 00:21:32,480 --> 00:21:36,639 Speaker 8: family homes. Within healthcare maybe a little bit nicheer, but 389 00:21:37,440 --> 00:21:40,760 Speaker 8: you know, senior living areas. Certainly, Data centers have been 390 00:21:40,960 --> 00:21:43,600 Speaker 8: a very important part. That's true not only in real estate, 391 00:21:43,840 --> 00:21:46,359 Speaker 8: but also things tied to that in the infrastructure space 392 00:21:46,400 --> 00:21:46,760 Speaker 8: as well. 393 00:21:47,080 --> 00:21:50,000 Speaker 4: So you mentioned open air shopping centers. Do you mind 394 00:21:50,000 --> 00:21:52,200 Speaker 4: just explaining to our listeners what exactly that is, because 395 00:21:52,200 --> 00:21:54,600 Speaker 4: I know a lot of people were talking for a 396 00:21:54,640 --> 00:21:56,520 Speaker 4: long time about the death of the mall, so. 397 00:21:57,320 --> 00:21:59,640 Speaker 8: Meat to that, and this is not quite the mall, 398 00:22:00,119 --> 00:22:02,960 Speaker 8: the renaissance of the mall, if you like. So think 399 00:22:02,960 --> 00:22:07,080 Speaker 8: about in some cases outlet centers or in some cases 400 00:22:07,480 --> 00:22:12,280 Speaker 8: open air outside where you have necessity based shopping center, 401 00:22:12,359 --> 00:22:15,200 Speaker 8: so it might have a grocery anchor or a big 402 00:22:15,240 --> 00:22:19,399 Speaker 8: box anchor, things that have durability to the Internet shopping cycle, 403 00:22:20,320 --> 00:22:23,000 Speaker 8: but then it's sort of built around an anchor store. 404 00:22:23,200 --> 00:22:26,040 Speaker 8: Those are areas where it looks like prices have bottomed. 405 00:22:26,200 --> 00:22:28,600 Speaker 8: There has not been new supply in the area for 406 00:22:28,640 --> 00:22:31,199 Speaker 8: the reasons that you mentioned, because malls have been a 407 00:22:31,240 --> 00:22:34,840 Speaker 8: really tough spot. So yields are pretty good, earnings growth 408 00:22:34,840 --> 00:22:37,439 Speaker 8: looks pretty good in that area, and that's why we 409 00:22:37,480 --> 00:22:39,480 Speaker 8: find some interest in that space. 410 00:22:40,119 --> 00:22:43,440 Speaker 2: Where is the capital markets as it relates to real 411 00:22:43,520 --> 00:22:44,960 Speaker 2: estate thesas? So, if I want to go out and 412 00:22:45,000 --> 00:22:50,359 Speaker 2: develop a multi family unit or some kind of piece 413 00:22:50,359 --> 00:22:52,600 Speaker 2: of commercial real estate, am I going to get where? 414 00:22:52,600 --> 00:22:53,800 Speaker 2: Am I going to get the money to do that? 415 00:22:54,000 --> 00:22:55,960 Speaker 2: My local bank going to lend me that money for 416 00:22:55,960 --> 00:22:56,720 Speaker 2: a real estate deal. 417 00:22:56,920 --> 00:22:59,840 Speaker 8: So obviously the last few years have been really challenging 418 00:23:00,119 --> 00:23:04,960 Speaker 8: or real estate in general. Debt markets have really been tough. Actually, 419 00:23:04,960 --> 00:23:07,760 Speaker 8: I think the good news here is that at the margin, 420 00:23:07,800 --> 00:23:10,160 Speaker 8: the debt markets are starting to open up a little bit. 421 00:23:10,160 --> 00:23:13,040 Speaker 8: It just means, you know, losses are making their way through. 422 00:23:13,119 --> 00:23:15,399 Speaker 8: People are kind of realizing some of that, so we 423 00:23:15,520 --> 00:23:19,000 Speaker 8: are seeing some pick up and lending. There's going to 424 00:23:19,040 --> 00:23:22,000 Speaker 8: be pockets where that's possible and where there's challenges. So 425 00:23:22,240 --> 00:23:24,480 Speaker 8: you should think about this less as a national trend 426 00:23:24,520 --> 00:23:26,520 Speaker 8: and much more as a local and even in some 427 00:23:26,560 --> 00:23:29,000 Speaker 8: cases a hyper local sort of a trade to be 428 00:23:29,040 --> 00:23:31,119 Speaker 8: able to do it. But the debt, you know, the 429 00:23:31,160 --> 00:23:33,480 Speaker 8: debt financing is coming back, but it's been coming back. 430 00:23:33,359 --> 00:23:37,560 Speaker 4: Slowly, super quickly. I know you mentioned your underweight office 431 00:23:37,560 --> 00:23:40,000 Speaker 4: and have been for a while. Any other areas that 432 00:23:40,040 --> 00:23:41,720 Speaker 4: you guys are actively avoiding. 433 00:23:42,440 --> 00:23:45,480 Speaker 8: Well, in certain areas, it's you know, we've certainly seen 434 00:23:45,520 --> 00:23:48,840 Speaker 8: an increase in supply sort of working its way through 435 00:23:48,880 --> 00:23:51,800 Speaker 8: and that's been you know, in some cases, you know, 436 00:23:51,920 --> 00:23:56,640 Speaker 8: apartments and some of those areas because you know that's 437 00:23:56,640 --> 00:23:58,840 Speaker 8: where the rent growth has been strongest. It's where there's 438 00:23:58,880 --> 00:24:02,479 Speaker 8: been most resils in the cycle. But as that supply 439 00:24:02,600 --> 00:24:05,080 Speaker 8: comes through, it still takes some time to absorb. So 440 00:24:05,119 --> 00:24:07,040 Speaker 8: that would probably be an area where we've been a 441 00:24:07,080 --> 00:24:07,520 Speaker 8: little late. 442 00:24:07,840 --> 00:24:10,119 Speaker 2: Jeffrey, thank you so much for joining us. Jeffrey Palmas, 443 00:24:10,119 --> 00:24:13,000 Speaker 2: senior vice president, head of multi asset Solutions at Coming 444 00:24:13,040 --> 00:24:16,920 Speaker 2: In Steers and a proud graduate of Rutgers University. I'm 445 00:24:16,960 --> 00:24:20,640 Speaker 2: a huge fan of Rutgers, the State University of New Jersey. 446 00:24:20,640 --> 00:24:23,239 Speaker 2: I ton of kids out of Rutgers over the year 447 00:24:23,280 --> 00:24:25,439 Speaker 2: and he traines here in a Bloomberg in Director Brokers Studio. 448 00:24:26,040 --> 00:24:30,720 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 449 00:24:30,920 --> 00:24:34,880 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 450 00:24:35,119 --> 00:24:38,440 Speaker 1: ten am to noon Eastern on Bloomberg dot Com, the 451 00:24:38,480 --> 00:24:42,320 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 452 00:24:42,359 --> 00:24:45,679 Speaker 1: can also watch us live every weekday on YouTube and 453 00:24:45,880 --> 00:24:47,800 Speaker 1: always on the Bloomberg terminal