1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg PENL Podcast. I'm Paul swing 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 Penl 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 --> 00:00:25,119 Speaker 1: at Bloomberg dot com. Tesla's shares absolutely tumbling to the 8 00:00:25,120 --> 00:00:29,040 Speaker 1: lowest levels since two sixteen, tumbling below two dollars for 9 00:00:29,080 --> 00:00:31,920 Speaker 1: the first time in more than two years. A former 10 00:00:32,080 --> 00:00:36,720 Speaker 1: Tesla bulla said that Frankly, Elon Musk faces code read 11 00:00:36,800 --> 00:00:39,680 Speaker 1: Joining us now is David Coudla, his chief executive officer 12 00:00:39,720 --> 00:00:43,959 Speaker 1: in chief investment strategist at Mainstay Capital Management. I want 13 00:00:44,000 --> 00:00:46,960 Speaker 1: to start with Tesla just to get your sense. Do 14 00:00:47,040 --> 00:00:50,600 Speaker 1: you think right now that Tesla faces a tipping point 15 00:00:51,240 --> 00:00:54,120 Speaker 1: where we really are going to see the shares going 16 00:00:54,200 --> 00:00:57,640 Speaker 1: to free fall. I think they're already in free fall. 17 00:00:57,720 --> 00:01:01,880 Speaker 1: Good morning. I think that, uh, you know, there's a 18 00:01:01,880 --> 00:01:04,560 Speaker 1: couple of factors impacting the stock right now that have 19 00:01:04,760 --> 00:01:09,560 Speaker 1: caused really a precipitous free fault from the two sixty 20 00:01:10,480 --> 00:01:14,720 Speaker 1: seven level that that it was holding at several weeks ago. 21 00:01:15,920 --> 00:01:18,720 Speaker 1: But the you know, when they came out with the 22 00:01:19,080 --> 00:01:21,479 Speaker 1: kind of pull out all the stops cost cutting plan, 23 00:01:22,640 --> 00:01:25,039 Speaker 1: that was kind of the code read condition. I think 24 00:01:25,040 --> 00:01:30,800 Speaker 1: that the web Bush Securities uh letter or report referred 25 00:01:30,800 --> 00:01:34,640 Speaker 1: to and and it's uh, it's I think that we're 26 00:01:34,640 --> 00:01:39,480 Speaker 1: really just seeing the story continue to unravel. Uh, it's 27 00:01:39,520 --> 00:01:44,600 Speaker 1: more than just the demand uh that continues to demand 28 00:01:44,840 --> 00:01:48,760 Speaker 1: diminish for all models of the of Tesla vehicles that 29 00:01:48,800 --> 00:01:52,000 Speaker 1: we talked about earlier this year. We're just we're just 30 00:01:52,040 --> 00:01:56,440 Speaker 1: seeing that, you know, the liquidity and solvency issues, you know, 31 00:01:56,520 --> 00:01:59,040 Speaker 1: coming back to the floor. So, David, are you of 32 00:01:59,080 --> 00:02:01,800 Speaker 1: the opinion that Tesla is going to need to come 33 00:02:01,840 --> 00:02:07,080 Speaker 1: back for more capital, maybe sooner rather than later. Well, 34 00:02:07,400 --> 00:02:10,560 Speaker 1: you know they just did, right, they just had become 35 00:02:11,120 --> 00:02:13,040 Speaker 1: in addition to that two point three billion that they 36 00:02:13,080 --> 00:02:15,120 Speaker 1: just read, they say that's going to get into free 37 00:02:15,120 --> 00:02:17,440 Speaker 1: cash flow positive. Are you in that park? Are you 38 00:02:17,480 --> 00:02:20,880 Speaker 1: in that uh? Do you think that's correct? Or do 39 00:02:20,880 --> 00:02:23,720 Speaker 1: you think they're gonna have to even come back again? Well, 40 00:02:23,720 --> 00:02:27,720 Speaker 1: they probably will. You know, there's there's the school of 41 00:02:27,720 --> 00:02:31,239 Speaker 1: thought out there that uh, they may they may be, 42 00:02:31,600 --> 00:02:34,320 Speaker 1: if they may be constantly coming back to the capital 43 00:02:34,320 --> 00:02:38,200 Speaker 1: markets to stay in business, if they can't build and 44 00:02:38,240 --> 00:02:42,000 Speaker 1: sell enough vehicles to to achieve profitability, and that's the 45 00:02:42,040 --> 00:02:45,320 Speaker 1: real question at this point. We question if they'll have 46 00:02:45,440 --> 00:02:49,680 Speaker 1: a profitable quarter anytime this year and if if they 47 00:02:49,680 --> 00:02:54,919 Speaker 1: can't achieve profitability at some point. Um, you know, it's 48 00:02:54,919 --> 00:02:58,240 Speaker 1: not about a growth story anymore, it's about a solvency story. 49 00:02:58,600 --> 00:03:02,560 Speaker 1: Tesla shares are currently down four point six per cent, 50 00:03:02,760 --> 00:03:05,640 Speaker 1: so off the earlier lows, but still a pretty pretty 51 00:03:05,680 --> 00:03:09,800 Speaker 1: rough day, especially after Friday's decline of seven point six percent. 52 00:03:09,880 --> 00:03:12,560 Speaker 1: I want to shift gears to Ford because they announced 53 00:03:12,560 --> 00:03:15,800 Speaker 1: that they were cutting seven thousand jobs in order to 54 00:03:16,800 --> 00:03:19,680 Speaker 1: right size its business model or basically cut some of 55 00:03:19,720 --> 00:03:23,680 Speaker 1: its management trim costs to increase profitability. Does this cause 56 00:03:23,720 --> 00:03:26,080 Speaker 1: a surprise, especially given the fact that this is part 57 00:03:26,120 --> 00:03:30,720 Speaker 1: of the restructuring announcements that they made last fall. No, 58 00:03:30,760 --> 00:03:36,560 Speaker 1: not at all. It's it's interesting, Um, you know, we 59 00:03:36,560 --> 00:03:41,360 Speaker 1: we had last fall a big announcement by General Motors 60 00:03:41,480 --> 00:03:46,080 Speaker 1: of what was coming when they had their head count reduction. 61 00:03:46,880 --> 00:03:50,040 Speaker 1: We didn't have that out of Ford. We had they 62 00:03:50,080 --> 00:03:53,520 Speaker 1: had UM made reference to it, but we didn't have 63 00:03:53,600 --> 00:03:56,960 Speaker 1: the detail. But that has been an evolutionary process. We've 64 00:03:57,000 --> 00:03:59,480 Speaker 1: been talking about this with clients for months and working 65 00:03:59,480 --> 00:04:03,640 Speaker 1: with our ants. It started at the highest tiers of management, 66 00:04:04,240 --> 00:04:07,200 Speaker 1: uh several months ago, and they've been working through each 67 00:04:07,440 --> 00:04:10,560 Speaker 1: each of the tiers of management down to the rank 68 00:04:10,640 --> 00:04:13,640 Speaker 1: and file workers in the in the salary workforce. And 69 00:04:13,680 --> 00:04:17,080 Speaker 1: we're actually now in the final stretch of that. Uh. 70 00:04:17,120 --> 00:04:19,200 Speaker 1: You know, when this letter came out from Jim Hackett, 71 00:04:19,240 --> 00:04:21,920 Speaker 1: when we've seen all the details as part of their 72 00:04:21,960 --> 00:04:26,000 Speaker 1: global restructuring plan, you know, a multi year plan uh 73 00:04:26,080 --> 00:04:32,440 Speaker 1: two of globally restructuring the corporation that in that seven 74 00:04:32,440 --> 00:04:40,000 Speaker 1: thousand jobs cut globally, those in North America. Uh, some 75 00:04:40,040 --> 00:04:43,279 Speaker 1: of those already accomplished fifteen hundred through the voluntary buyouts 76 00:04:43,880 --> 00:04:48,039 Speaker 1: last year, and now these layoffs that have been happening 77 00:04:48,080 --> 00:04:51,960 Speaker 1: through through this year already really really now it's just 78 00:04:52,080 --> 00:04:55,520 Speaker 1: now we're hearing this big announcement of five hundred people 79 00:04:55,520 --> 00:04:58,160 Speaker 1: that will be notified tomorrow. But this has been an 80 00:04:58,200 --> 00:05:01,839 Speaker 1: evolutionary process that's been ha for months. So David, you know, 81 00:05:02,000 --> 00:05:05,599 Speaker 1: there's only and there's obviously I'm sure a fair amount 82 00:05:05,600 --> 00:05:07,320 Speaker 1: of costs that can be cut across you know, the 83 00:05:07,839 --> 00:05:09,920 Speaker 1: global auto industry. But at some point they're gonna have 84 00:05:09,960 --> 00:05:12,599 Speaker 1: to really start driving top line growth. Where do you 85 00:05:12,600 --> 00:05:15,960 Speaker 1: think growth for Ford and maybe for GM can come from. 86 00:05:16,040 --> 00:05:18,240 Speaker 1: Is it simply new products or do they have to 87 00:05:18,279 --> 00:05:20,479 Speaker 1: go to new markets? Do you see a top line 88 00:05:20,480 --> 00:05:24,000 Speaker 1: growth story for Ford? I think there is a top 89 00:05:24,040 --> 00:05:27,400 Speaker 1: line growth story. I think that they've demonstrated that they 90 00:05:27,440 --> 00:05:30,960 Speaker 1: continue to do well in the legacy business, and we 91 00:05:30,960 --> 00:05:33,960 Speaker 1: we separate the business now the auto industry into two, 92 00:05:34,040 --> 00:05:37,039 Speaker 1: the legacy business and the future of mobility and the 93 00:05:37,120 --> 00:05:45,400 Speaker 1: legacy business of crossovers SUVs. In in the segments of crossovers, SUVs, trucks, 94 00:05:45,480 --> 00:05:49,279 Speaker 1: they've done very well UH this year and their stock 95 00:05:49,360 --> 00:05:54,080 Speaker 1: price reflects that with the gains in Ford stock in teen. 96 00:05:54,160 --> 00:05:57,440 Speaker 1: It's been an outperformer in the UH in the segment 97 00:05:57,560 --> 00:06:01,799 Speaker 1: and relatively S and P five, it's been a tremendous performer. 98 00:06:02,200 --> 00:06:04,440 Speaker 1: And if we look at, you know, what's coming in 99 00:06:04,440 --> 00:06:07,840 Speaker 1: addition to this global restructuring, what's coming in terms of 100 00:06:07,880 --> 00:06:13,799 Speaker 1: autonomous UH, their UH, their investment in riviewing, their investment 101 00:06:13,880 --> 00:06:15,960 Speaker 1: in their own investments and autonomous and some of the 102 00:06:15,960 --> 00:06:22,679 Speaker 1: partnerships that they're working with Toxic UH, other automakers we're seeing. 103 00:06:22,720 --> 00:06:26,200 Speaker 1: We're seeing that the some vision, that strategic vision out 104 00:06:26,200 --> 00:06:29,560 Speaker 1: Afford UH and Auto two point out that we think 105 00:06:29,600 --> 00:06:32,400 Speaker 1: the growth is there as they shore up their operations 106 00:06:32,440 --> 00:06:36,240 Speaker 1: around the world for profitability and that davidising Business David Goodla, 107 00:06:36,320 --> 00:06:38,360 Speaker 1: thank you so much for being with us, chief executive 108 00:06:38,360 --> 00:06:55,320 Speaker 1: officer and chief investment strategistic mainstay Capital Management. Let's turn 109 00:06:55,360 --> 00:06:58,039 Speaker 1: our focus to Deutsche Bank shares now at an all 110 00:06:58,160 --> 00:07:01,560 Speaker 1: time record low. UH. There are a lot of reasons 111 00:07:01,600 --> 00:07:05,240 Speaker 1: why people downgrading their profitability forecasts, the Commerce bank tie 112 00:07:05,279 --> 00:07:10,000 Speaker 1: up that failed, but there also are some regulatory issues, 113 00:07:10,120 --> 00:07:15,880 Speaker 1: money laundering concerns, management issues with how these issues are treated. 114 00:07:16,040 --> 00:07:19,120 Speaker 1: And joining us here is Elliot Stein. He's senior litigation 115 00:07:19,160 --> 00:07:22,600 Speaker 1: analyst for Bloomberg Intelligence. So Elliott I want to start 116 00:07:22,680 --> 00:07:26,440 Speaker 1: with his New York Times story outlining how there were 117 00:07:26,520 --> 00:07:29,400 Speaker 1: some bank who are tasked with the anti bank staff, 118 00:07:29,560 --> 00:07:32,360 Speaker 1: who are tasked with the anti money laundering responsibilities, that 119 00:07:32,400 --> 00:07:35,520 Speaker 1: flagged suspicious transactions related to President Trump and his son 120 00:07:35,520 --> 00:07:39,520 Speaker 1: in law Jared Kushner, and that senior management didn't take 121 00:07:39,560 --> 00:07:42,920 Speaker 1: them up on it. What did you make of the story. So, 122 00:07:43,080 --> 00:07:46,640 Speaker 1: I think it's important to remember the context here in 123 00:07:46,680 --> 00:07:51,800 Speaker 1: Deutsche Bank has been under cloud of money laundering investigations 124 00:07:51,840 --> 00:07:56,240 Speaker 1: for a while. UM. They settled in seen with the 125 00:07:56,240 --> 00:07:59,280 Speaker 1: New York Department Financial Services and the Federal Reserve over 126 00:07:59,400 --> 00:08:04,640 Speaker 1: money launder issues, including transactions in Russia. UM. But what's 127 00:08:04,680 --> 00:08:06,600 Speaker 1: interesting is that they did not settle with the Justice 128 00:08:06,640 --> 00:08:09,760 Speaker 1: Department at that time, and so when that happened, UM, 129 00:08:09,800 --> 00:08:13,960 Speaker 1: we expected that there would be continued investigations by d 130 00:08:14,000 --> 00:08:17,239 Speaker 1: o J and ultimately settlements or fines at some point. 131 00:08:17,720 --> 00:08:21,560 Speaker 1: What's happening now is that every time you see more 132 00:08:21,680 --> 00:08:25,840 Speaker 1: links between Deutsche Bank and Trump related investigations, it adds 133 00:08:25,840 --> 00:08:29,240 Speaker 1: a further cloud to those ongoing investigations, and as we 134 00:08:29,280 --> 00:08:32,360 Speaker 1: saw the market react today, it adds to the headline 135 00:08:32,440 --> 00:08:35,120 Speaker 1: risk for the bank. So what is the materiality in 136 00:08:35,160 --> 00:08:39,079 Speaker 1: your perspective of some of these continuing money laundering issues 137 00:08:39,200 --> 00:08:43,200 Speaker 1: for the company. Well, so overall, we based on their 138 00:08:43,520 --> 00:08:46,880 Speaker 1: UM find the amount of their fins in tween UM 139 00:08:47,000 --> 00:08:51,840 Speaker 1: and UM when they settled UH investigations related to sanctions 140 00:08:51,960 --> 00:08:56,280 Speaker 1: violations which are similar but not exactly the same, we 141 00:08:56,320 --> 00:08:59,800 Speaker 1: expect their ultimate UM exposure at this point to be 142 00:09:00,120 --> 00:09:02,840 Speaker 1: to a billion dollars based on the amounts they paid 143 00:09:02,880 --> 00:09:05,520 Speaker 1: to New York authorities. And we looked at um how 144 00:09:05,600 --> 00:09:08,880 Speaker 1: much d J settlements usually are as a ratio compared 145 00:09:08,920 --> 00:09:11,199 Speaker 1: to the New York settlements. Um, it could be a 146 00:09:11,200 --> 00:09:14,199 Speaker 1: little lower than that. But you know, there's additional materiality 147 00:09:14,240 --> 00:09:17,720 Speaker 1: going to your question, Paul, Um, if management in the 148 00:09:17,800 --> 00:09:23,280 Speaker 1: bank intentionally suppressed suspicious activity reports because they wanted to 149 00:09:23,360 --> 00:09:28,200 Speaker 1: keep Donald Trump's business, it does raise questions of intentionality. 150 00:09:28,760 --> 00:09:33,560 Speaker 1: Um and uh, that could make an ultimate penalty worse. 151 00:09:34,400 --> 00:09:36,800 Speaker 1: Just to put this in perspective, because you bring some 152 00:09:36,880 --> 00:09:39,400 Speaker 1: really interesting insights here, the idea that the d o 153 00:09:39,520 --> 00:09:42,240 Speaker 1: J did not sign off on an anti money laundering 154 00:09:42,280 --> 00:09:46,240 Speaker 1: type of settlement with Deutsche Bank. How long has this 155 00:09:46,320 --> 00:09:50,360 Speaker 1: gone on and when do people expect that to wrap up? Well, 156 00:09:50,679 --> 00:09:53,240 Speaker 1: that's a great question, and as with almost all d 157 00:09:53,320 --> 00:09:56,000 Speaker 1: o J investigations, you never really know what the timeline 158 00:09:56,040 --> 00:09:58,160 Speaker 1: is because there's just not a lot of transparency. So 159 00:09:58,200 --> 00:10:00,400 Speaker 1: I'm a little surprised that it's been going on for 160 00:10:00,480 --> 00:10:02,800 Speaker 1: this long. I do think that maybe the Trump related 161 00:10:02,840 --> 00:10:07,080 Speaker 1: investigations add a complication to these investigations that we haven't 162 00:10:07,120 --> 00:10:10,400 Speaker 1: seen in you know, ever before when you have the president, 163 00:10:10,679 --> 00:10:13,320 Speaker 1: um as part of these probes as well. UM, So 164 00:10:13,360 --> 00:10:16,959 Speaker 1: we don't have a firm timeline. UM. So unfortunately I 165 00:10:16,960 --> 00:10:18,880 Speaker 1: can't give you a better answer. So what's what's been 166 00:10:18,920 --> 00:10:21,240 Speaker 1: the response from Deutsche Bank? It just seems like it's 167 00:10:21,280 --> 00:10:24,120 Speaker 1: been years and years. I mean, you know, do they 168 00:10:24,160 --> 00:10:26,800 Speaker 1: have any specific response to the latest allegations or is 169 00:10:26,800 --> 00:10:29,400 Speaker 1: it just like we're trying to get our house in order. 170 00:10:29,880 --> 00:10:31,520 Speaker 1: You know, yeah, I know a lot of it is that, 171 00:10:31,640 --> 00:10:34,320 Speaker 1: and that they have taken remediation measures UM, and they've 172 00:10:34,320 --> 00:10:39,199 Speaker 1: bolstered their compliance UM procedures. Uh. Their response in the 173 00:10:39,200 --> 00:10:43,400 Speaker 1: New York Times article was that, UM, no person was 174 00:10:43,480 --> 00:10:47,280 Speaker 1: ever restricted from escalating the issue. Further, of course, that 175 00:10:47,320 --> 00:10:52,000 Speaker 1: doesn't necessarily absolve them if management decided to suppress the 176 00:10:52,200 --> 00:10:55,440 Speaker 1: s a R S for nefarious reasons. We should just 177 00:10:55,480 --> 00:11:00,520 Speaker 1: note that President Trump did tweet about the story this morning, uh, 178 00:11:00,800 --> 00:11:05,240 Speaker 1: saying basically that it is fake news and talking about 179 00:11:05,320 --> 00:11:09,559 Speaker 1: how the mainstream media is the true enemy of the people. Uh. 180 00:11:09,640 --> 00:11:11,480 Speaker 1: So he was just saying, you know, the failing New 181 00:11:11,559 --> 00:11:14,560 Speaker 1: York Times keep writing phony stories about how I didn't 182 00:11:14,600 --> 00:11:16,440 Speaker 1: use money banks because they didn't want to do business 183 00:11:16,440 --> 00:11:18,520 Speaker 1: with me. Wrong, it is because I didn't need money 184 00:11:18,679 --> 00:11:21,720 Speaker 1: very old. So he is coming out against it. Just 185 00:11:21,760 --> 00:11:24,360 Speaker 1: real quick, just your real quick here, Elliot. I'm wondering 186 00:11:24,360 --> 00:11:27,079 Speaker 1: from your perspective, do you actually think that the shares 187 00:11:27,120 --> 00:11:29,679 Speaker 1: are falling in light of this story or is it 188 00:11:29,720 --> 00:11:33,240 Speaker 1: other issues? Well? I think there are multiple issues going 189 00:11:33,280 --> 00:11:35,600 Speaker 1: on in the news. Um. You you alluded to some 190 00:11:35,640 --> 00:11:38,480 Speaker 1: of them at the outset um. But I do think 191 00:11:38,559 --> 00:11:41,520 Speaker 1: that every time you see these stories surface about Deutsche 192 00:11:41,520 --> 00:11:45,160 Speaker 1: banks money laundering risks, it reminds the market that these 193 00:11:45,280 --> 00:11:48,679 Speaker 1: issues are still outstanding, that we still expect a pecuniary 194 00:11:48,800 --> 00:11:51,520 Speaker 1: fine at some point, and that there may be ongoing issues. 195 00:11:52,160 --> 00:11:54,160 Speaker 1: Elliot Stein, thank you so much for joining us. Ellie 196 00:11:54,240 --> 00:11:57,440 Speaker 1: is a senior litigation animals for Bloomberg Intelligence, joining us 197 00:11:57,480 --> 00:12:14,599 Speaker 1: here in our Bloomberg eleven three oh studio. Well, we 198 00:12:14,720 --> 00:12:18,839 Speaker 1: saw it beyond meat. The fact that there shares absolutely 199 00:12:19,000 --> 00:12:23,720 Speaker 1: skyrocketed more than doubling after the initial public offering recently, 200 00:12:23,760 --> 00:12:27,160 Speaker 1: it just shows how much demand there is for alternative 201 00:12:27,360 --> 00:12:30,640 Speaker 1: food sources, for new ways to think about what we 202 00:12:30,679 --> 00:12:33,160 Speaker 1: eat and how we eat. Joining us now is someone 203 00:12:33,160 --> 00:12:36,000 Speaker 1: who invests in early stage companies that are trying to 204 00:12:36,160 --> 00:12:40,200 Speaker 1: rethink the food that we eat here in America and worldwide. 205 00:12:40,240 --> 00:12:43,480 Speaker 1: Jordan Gasper, she's managing partner of Excel Foods based in 206 00:12:43,559 --> 00:12:45,400 Speaker 1: New York. Jordan, thank you so much for joining us 207 00:12:45,400 --> 00:12:47,920 Speaker 1: here in a Bloomberg Interactive broker Studios. So why don't 208 00:12:47,920 --> 00:12:50,440 Speaker 1: you just tell us what kinds of companies you actually 209 00:12:50,520 --> 00:12:53,600 Speaker 1: invest in? Great, thank you so much for having me. UM. 210 00:12:53,640 --> 00:12:55,959 Speaker 1: So we are a venture fund that's solely investment package 211 00:12:56,000 --> 00:12:57,880 Speaker 1: food and beverage brands that are better for you, so 212 00:12:57,920 --> 00:13:01,160 Speaker 1: all healthy living directed brands. UM. We have thirty six 213 00:13:01,200 --> 00:13:04,160 Speaker 1: active portfolio companies and we typically invest in eight to 214 00:13:04,240 --> 00:13:07,199 Speaker 1: ten new companies a year, and we can participate as 215 00:13:07,480 --> 00:13:11,960 Speaker 1: those companies raise capital many times over as they grown. UM. 216 00:13:12,040 --> 00:13:15,120 Speaker 1: The companies range in size from pre revenue to over 217 00:13:15,120 --> 00:13:17,640 Speaker 1: a hundred million revenue UM and so it's a wide 218 00:13:17,720 --> 00:13:20,480 Speaker 1: range of the different types of companies that we see. UM. 219 00:13:20,520 --> 00:13:23,520 Speaker 1: All of them are available in distribution. They can be 220 00:13:23,520 --> 00:13:27,040 Speaker 1: purchased at Whole Foods or car Toss Costco or Target 221 00:13:27,120 --> 00:13:29,920 Speaker 1: or Walmart UM. But all of the usual places that 222 00:13:29,960 --> 00:13:32,520 Speaker 1: we would hope to see great products like this. So 223 00:13:32,520 --> 00:13:35,440 Speaker 1: what's maybe one of the cool one or two companies 224 00:13:35,440 --> 00:13:37,800 Speaker 1: that you think is really kind of a unique story 225 00:13:38,000 --> 00:13:42,360 Speaker 1: in your portfolio. Family Foods. You know, it's a company 226 00:13:42,440 --> 00:13:45,480 Speaker 1: that's a Mexican American brand that has come up very 227 00:13:45,520 --> 00:13:48,520 Speaker 1: quickly in the space. UM. It's a family owned company 228 00:13:48,520 --> 00:13:51,640 Speaker 1: that recently took in its first investors. UM. We're very 229 00:13:51,640 --> 00:13:54,640 Speaker 1: proud to be part of the company, and they really 230 00:13:54,640 --> 00:13:58,560 Speaker 1: have an authentic story as they're creating the next generation 231 00:13:58,840 --> 00:14:01,400 Speaker 1: of Latin foods. UM. And we think about, you know, 232 00:14:01,440 --> 00:14:06,240 Speaker 1: products like chips and tortillas and taco shells. We haven't 233 00:14:06,280 --> 00:14:09,040 Speaker 1: seen that much innovation in those categories. And so here 234 00:14:09,040 --> 00:14:13,360 Speaker 1: we have grain free chips, we have dairy free casos, 235 00:14:13,480 --> 00:14:17,000 Speaker 1: we have grain free taco shells. It's a totally different 236 00:14:17,080 --> 00:14:19,360 Speaker 1: spin on what are staples that are in all of 237 00:14:19,360 --> 00:14:21,840 Speaker 1: our diets. One thing that you were just saying off 238 00:14:21,920 --> 00:14:25,200 Speaker 1: air was that those processed foods and the foods that 239 00:14:25,240 --> 00:14:28,520 Speaker 1: we grew up with are not going to exist in 240 00:14:28,560 --> 00:14:31,040 Speaker 1: the near future. What do you mean by that? So 241 00:14:31,120 --> 00:14:33,040 Speaker 1: I think that it's important to understand that there's two 242 00:14:33,120 --> 00:14:36,520 Speaker 1: different types of changes that are happening simultaneously in the space. 243 00:14:37,120 --> 00:14:39,320 Speaker 1: The first is is we have a huge amount of 244 00:14:39,360 --> 00:14:41,760 Speaker 1: authentic young brands that are coming into the space very 245 00:14:41,800 --> 00:14:45,320 Speaker 1: quickly and scaling, and they're they're the the companies that 246 00:14:45,360 --> 00:14:48,400 Speaker 1: are securing the shelf space at the major retailers. So 247 00:14:48,440 --> 00:14:51,600 Speaker 1: those are you know, young brands that are telling different 248 00:14:51,640 --> 00:14:55,080 Speaker 1: stories and have unique products. On the flip side, the 249 00:14:55,080 --> 00:14:58,920 Speaker 1: incumbents are reformulating their holdings and so we're seeing the 250 00:14:59,080 --> 00:15:02,080 Speaker 1: organic version of this or the better for you version 251 00:15:02,120 --> 00:15:05,480 Speaker 1: of that, and their substitutions and the basic ingredients that 252 00:15:05,960 --> 00:15:10,280 Speaker 1: processed foods are coming out as we're seeing um, you know, 253 00:15:10,400 --> 00:15:14,080 Speaker 1: sort of better quality ingredients substituted. So you're talking about 254 00:15:14,200 --> 00:15:18,960 Speaker 1: the cokes, the pepsis the proctor gamble is whoever creates 255 00:15:19,000 --> 00:15:22,560 Speaker 1: food and puts it out their craft craft highs. You 256 00:15:22,600 --> 00:15:25,400 Speaker 1: said also that some of the end games for some 257 00:15:25,480 --> 00:15:27,920 Speaker 1: of these companies that you invest in might be acquisitions 258 00:15:27,960 --> 00:15:31,480 Speaker 1: by some of these larger companies. How quickly is that happening, 259 00:15:31,520 --> 00:15:35,320 Speaker 1: because it seems like right now there's still are a 260 00:15:35,400 --> 00:15:37,360 Speaker 1: lot of processes, there's still are a lot of foods 261 00:15:37,360 --> 00:15:40,240 Speaker 1: that you know, are familiar from ten twenty years ago 262 00:15:40,440 --> 00:15:43,720 Speaker 1: still on the shelves. So it's happening very quickly. UM, 263 00:15:43,720 --> 00:15:45,760 Speaker 1: and I think that from our perspective, our hope is 264 00:15:45,760 --> 00:15:48,600 Speaker 1: is that all of our companies get acquired. So I'd 265 00:15:48,680 --> 00:15:51,640 Speaker 1: say that, you know it, there's been more capital direct 266 00:15:51,680 --> 00:15:53,800 Speaker 1: into the space than ever before. You know, we've seen 267 00:15:54,120 --> 00:15:56,560 Speaker 1: a lot of institutional capital coming very quickly, which is 268 00:15:56,560 --> 00:15:58,480 Speaker 1: a good sign that will have more and more brands 269 00:15:58,520 --> 00:16:00,960 Speaker 1: that will grow larger because they'll have this sufficient capital 270 00:16:01,000 --> 00:16:05,240 Speaker 1: to do so. UM. The strategics are more inquisitive, they 271 00:16:05,240 --> 00:16:08,840 Speaker 1: are more excited and interested in partnering with young brands. UM. 272 00:16:08,840 --> 00:16:11,120 Speaker 1: We certainly hear from most of them, and they all 273 00:16:11,280 --> 00:16:13,920 Speaker 1: know let us know that they're excited to get involved 274 00:16:13,920 --> 00:16:16,040 Speaker 1: in the space with earlier stage companies in a variety 275 00:16:16,040 --> 00:16:19,240 Speaker 1: of different ways, whether it be funding them, acquiring them, 276 00:16:19,320 --> 00:16:22,400 Speaker 1: or operationally assisting them. There's been the launch of many 277 00:16:22,480 --> 00:16:26,360 Speaker 1: of these accelerator programs UM the venture capital arms. But 278 00:16:26,400 --> 00:16:29,600 Speaker 1: there's also behind the scenes, there's the use of their resources, 279 00:16:29,640 --> 00:16:32,040 Speaker 1: which is something that's pretty unique. And so some of 280 00:16:32,040 --> 00:16:34,400 Speaker 1: these strategics will say, I've got trucks that can be 281 00:16:34,480 --> 00:16:37,680 Speaker 1: used for distribution, or i have line time and manufacturing 282 00:16:37,720 --> 00:16:40,240 Speaker 1: that can be used. So they're getting creative because they 283 00:16:40,280 --> 00:16:43,120 Speaker 1: recognize that that the future of their businesses is in 284 00:16:43,200 --> 00:16:45,920 Speaker 1: these young brands. Are there any food or maybe what's 285 00:16:45,960 --> 00:16:49,120 Speaker 1: the next food category, or are there any food categories 286 00:16:49,520 --> 00:16:53,200 Speaker 1: that haven't really innovated that we're there. You know, there's 287 00:16:53,240 --> 00:16:55,320 Speaker 1: no new products, there's nothing there that you kind of 288 00:16:55,320 --> 00:16:57,720 Speaker 1: think it might be interesting that it may be kind 289 00:16:57,720 --> 00:17:01,040 Speaker 1: of approaching your firm for funding. UM. So we're big, 290 00:17:01,040 --> 00:17:03,280 Speaker 1: big believers in grain free right now. It's the next 291 00:17:03,320 --> 00:17:07,000 Speaker 1: evolution of gluten free and obviously the nutritional panel is 292 00:17:07,040 --> 00:17:10,119 Speaker 1: just better for you UM, particularly in baked goods. UM. 293 00:17:10,160 --> 00:17:11,800 Speaker 1: One of the things that you know, we've been excited 294 00:17:11,840 --> 00:17:14,840 Speaker 1: about is, you know, baked goods have been pretty stale. UM. 295 00:17:14,920 --> 00:17:17,480 Speaker 1: They haven't been good for you. I'm highly processed a 296 00:17:17,480 --> 00:17:20,480 Speaker 1: lot of sugar, and we're seeing companies like Susie's, which 297 00:17:20,520 --> 00:17:23,560 Speaker 1: is one of our portfolio companies that actually is a 298 00:17:23,840 --> 00:17:27,040 Speaker 1: more paleo minded product, but it's almond based and so 299 00:17:27,119 --> 00:17:30,560 Speaker 1: the panels actually clean UM and you know, there's better 300 00:17:30,640 --> 00:17:33,800 Speaker 1: quality ingredients, more mindfulness in it, and so it's reflected 301 00:17:33,840 --> 00:17:35,480 Speaker 1: and even in the way that the product has to 302 00:17:35,480 --> 00:17:39,200 Speaker 1: be distributed, it's a frozen product because the ingredients aren't 303 00:17:39,200 --> 00:17:42,159 Speaker 1: able to sit on shell for many, many weeks. Is 304 00:17:42,200 --> 00:17:45,480 Speaker 1: this a regional issue? In other words, are these products 305 00:17:45,680 --> 00:17:48,119 Speaker 1: being adopted on the coasts and then everywhere else in 306 00:17:48,160 --> 00:17:50,359 Speaker 1: the United States? Not so much. I would have said 307 00:17:50,400 --> 00:17:52,560 Speaker 1: that a couple of years ago. But if we look 308 00:17:52,600 --> 00:17:55,119 Speaker 1: at one of our companies, Alpha Foods, which is our 309 00:17:55,160 --> 00:17:58,800 Speaker 1: own plant protein company UM they launched last year as 310 00:17:58,840 --> 00:18:01,440 Speaker 1: their first year, and all of the major retailers came 311 00:18:01,440 --> 00:18:06,040 Speaker 1: in quickly, so it was Walmart, Target, Costco, Kroger, and 312 00:18:06,160 --> 00:18:09,000 Speaker 1: it was all at once. So we saw mass and 313 00:18:09,000 --> 00:18:12,560 Speaker 1: conventional move faster and natural then fascinating story. It's not 314 00:18:12,640 --> 00:18:15,520 Speaker 1: just the uh the I p O of beyond meat, 315 00:18:15,560 --> 00:18:18,320 Speaker 1: it's kind of all across the food spectrum and lots 316 00:18:18,359 --> 00:18:21,480 Speaker 1: of cattle being allocated to that. Jordan Gaspar thank you 317 00:18:21,520 --> 00:18:23,800 Speaker 1: so much for joining us. Jordan's managing partner of US 318 00:18:23,800 --> 00:18:26,199 Speaker 1: Sell Foods based here in New York City, joining us 319 00:18:26,200 --> 00:18:45,240 Speaker 1: in our Bloomberg Interactive Broker studio. Well. As a trade 320 00:18:45,280 --> 00:18:48,760 Speaker 1: war escalates and terrorists flight back and forth between China 321 00:18:48,800 --> 00:18:52,800 Speaker 1: and the US, China's textile industry looks particularly vulnerable, as 322 00:18:52,840 --> 00:18:55,280 Speaker 1: the US is its biggest buyer. To get a sense 323 00:18:55,320 --> 00:18:57,880 Speaker 1: of how big a deal this possibly could be. We 324 00:18:57,880 --> 00:19:01,040 Speaker 1: welcome our next guest, Edward Hertzman. Word is the founder 325 00:19:01,080 --> 00:19:03,520 Speaker 1: and president of Sourcing Journal, based here in New York City. 326 00:19:03,560 --> 00:19:07,160 Speaker 1: He joins us in our Bloomberg Interactive Broker studio. Edward, 327 00:19:07,160 --> 00:19:10,720 Speaker 1: thanks for joining us. When I think terrorifts on clothes 328 00:19:10,760 --> 00:19:15,000 Speaker 1: and apparel, I'm thinking this is a big deal potentially. Yeah. 329 00:19:15,040 --> 00:19:18,720 Speaker 1: I don't think anyone really realizes how um significant this 330 00:19:18,800 --> 00:19:23,600 Speaker 1: can be. Too. Already a very fragile industry. Um, you're 331 00:19:23,600 --> 00:19:26,399 Speaker 1: talking about when when we look at China, Uh, it 332 00:19:26,400 --> 00:19:30,080 Speaker 1: accounts for almost fort of the exports of clothing, almost 333 00:19:30,080 --> 00:19:34,000 Speaker 1: seventy of the exports for footwear, and and roughly around 334 00:19:34,760 --> 00:19:38,840 Speaker 1: the exports for accessories coming into this country. So you're 335 00:19:38,880 --> 00:19:41,680 Speaker 1: talking a lot of product made by a lot of retailers, 336 00:19:42,440 --> 00:19:45,960 Speaker 1: which there isn't really a lot of places for people 337 00:19:46,000 --> 00:19:47,480 Speaker 1: to go in a short you know, in a short 338 00:19:47,480 --> 00:19:50,960 Speaker 1: period of time to mitigate this risk. So, um, this 339 00:19:51,000 --> 00:19:52,760 Speaker 1: is going to have a real big impact Q three 340 00:19:52,760 --> 00:19:54,960 Speaker 1: in Q four if it does happen. So how how 341 00:19:54,960 --> 00:19:57,360 Speaker 1: big of an impact? I mean, how how substantial will 342 00:19:57,359 --> 00:20:01,600 Speaker 1: the tariffs essentially be and how much will they be 343 00:20:01,840 --> 00:20:04,720 Speaker 1: unable to pass on? To consumers. Well, if we look 344 00:20:04,760 --> 00:20:07,080 Speaker 1: at it, we're just talking about top line, right, we're 345 00:20:07,080 --> 00:20:10,320 Speaker 1: adding to the product coming into the country. Um. A 346 00:20:10,359 --> 00:20:12,520 Speaker 1: lot of the orders for back to school and holiday 347 00:20:12,680 --> 00:20:15,800 Speaker 1: have already been placed, so the wholesales and the retailers 348 00:20:15,840 --> 00:20:18,320 Speaker 1: already have margin in mind that they're playing with. To 349 00:20:18,440 --> 00:20:22,160 Speaker 1: add on that is something that the industry doesn't even 350 00:20:22,200 --> 00:20:25,000 Speaker 1: have to work with. So the question is who can 351 00:20:25,119 --> 00:20:27,680 Speaker 1: absorb some of it in the short term? Who could 352 00:20:27,800 --> 00:20:29,399 Speaker 1: who's gonna have to pass it along. I mean you 353 00:20:29,400 --> 00:20:32,359 Speaker 1: already have retailers like Walmart saying hey, we're gonna have 354 00:20:32,400 --> 00:20:35,320 Speaker 1: to increase prices on things like furniture because that that 355 00:20:35,400 --> 00:20:39,040 Speaker 1: just got hit. Um. I think the more price sensitive 356 00:20:39,080 --> 00:20:41,119 Speaker 1: you are, the more of an impact that's going to 357 00:20:41,160 --> 00:20:43,080 Speaker 1: have in the short term because you just don't have 358 00:20:43,160 --> 00:20:46,000 Speaker 1: the margin to play with. And I think that the 359 00:20:46,040 --> 00:20:49,520 Speaker 1: idea that we have these alternative sourcing destinations. Yes, we're 360 00:20:49,560 --> 00:20:51,639 Speaker 1: going to see a migration to Vietnam, we're going to 361 00:20:51,720 --> 00:20:56,040 Speaker 1: see more people going to places like India, Indonesia, Bangladesh. 362 00:20:56,080 --> 00:20:58,320 Speaker 1: But let's not forget they're not foolish either. They only 363 00:20:58,359 --> 00:21:00,920 Speaker 1: have so much capacity and with that comes and baked 364 00:21:00,920 --> 00:21:03,600 Speaker 1: in inflation because there's gonna be a rush to go there. 365 00:21:04,160 --> 00:21:06,280 Speaker 1: And a year ago, you know, we had the same 366 00:21:06,320 --> 00:21:10,720 Speaker 1: conversation although nothing happened, people already started migrating, but a 367 00:21:10,800 --> 00:21:13,919 Speaker 1: year over year still we're talking about very, very small 368 00:21:13,960 --> 00:21:18,679 Speaker 1: percentage of migration out of China. And the the issue 369 00:21:18,760 --> 00:21:20,680 Speaker 1: is that we've we've come to a period of time 370 00:21:20,680 --> 00:21:23,560 Speaker 1: where people have stopped chasing the cheapest needle and they're 371 00:21:23,560 --> 00:21:26,360 Speaker 1: now chasing the smartest needle. Because the conversation is kind 372 00:21:26,400 --> 00:21:30,480 Speaker 1: of migrated to speed and flexibility and lowering inventory, which 373 00:21:30,560 --> 00:21:33,640 Speaker 1: China is really the perfect place to be. So if 374 00:21:33,640 --> 00:21:36,320 Speaker 1: we start moving to countries like Bangladesh, while we may 375 00:21:36,359 --> 00:21:41,320 Speaker 1: save money, we lose the flexibility and quick turn replenishment. 376 00:21:41,400 --> 00:21:43,119 Speaker 1: So there's a lot of factors that are gonna that 377 00:21:43,160 --> 00:21:44,880 Speaker 1: are gonna hurt this industry. So give us a sense 378 00:21:44,880 --> 00:21:47,000 Speaker 1: of kind of where we are with these tariffs here, 379 00:21:47,040 --> 00:21:49,680 Speaker 1: that these are proposed tariffs coming up and we don't 380 00:21:49,680 --> 00:21:53,200 Speaker 1: even know what retail goods are, which clothing and apparel 381 00:21:53,200 --> 00:21:56,880 Speaker 1: goods will potentially be subject to these terroriforts. Correct, Yeah, 382 00:21:56,920 --> 00:21:59,080 Speaker 1: So the you know, the technical term the tranche for 383 00:21:59,640 --> 00:22:02,119 Speaker 1: if this goes into effect to technically hit all the 384 00:22:02,200 --> 00:22:06,000 Speaker 1: remaining imports from from China, and included in that list 385 00:22:06,000 --> 00:22:10,479 Speaker 1: would be apparel, footwear, and some textiles. Um, So in 386 00:22:10,520 --> 00:22:12,880 Speaker 1: that case, it would be you know, all the products 387 00:22:12,880 --> 00:22:17,040 Speaker 1: that we're talking about right now. Um, the point you 388 00:22:17,080 --> 00:22:20,480 Speaker 1: made is it's suggested that this will come up in 389 00:22:20,520 --> 00:22:23,280 Speaker 1: the summer. If it does pass, it will probably hit 390 00:22:23,320 --> 00:22:25,960 Speaker 1: around Labor Day and so the goods that are coming 391 00:22:25,960 --> 00:22:29,480 Speaker 1: into the country around that time will be affected. We're hoping, 392 00:22:29,920 --> 00:22:34,119 Speaker 1: you know, that this is posturing. Um, we're in a 393 00:22:34,200 --> 00:22:37,920 Speaker 1: situation where, uh, you know, I'm not a political analyst, 394 00:22:37,960 --> 00:22:40,600 Speaker 1: so I can't say for sure, but the economy still 395 00:22:40,640 --> 00:22:44,320 Speaker 1: is showing strong signs of things are pretty positive. Why 396 00:22:44,320 --> 00:22:46,480 Speaker 1: does he want to mess around and create a global 397 00:22:46,880 --> 00:22:50,920 Speaker 1: you know, trade war which will negatively negatively impact the economy. 398 00:22:51,000 --> 00:22:53,440 Speaker 1: So some people are hoping that somehow this will be 399 00:22:53,520 --> 00:22:56,840 Speaker 1: resolved before the summertime. A lot of people are pricing 400 00:22:56,880 --> 00:23:00,159 Speaker 1: that in currently to markets certainly that it will be 401 00:23:00,240 --> 00:23:03,240 Speaker 1: resolved at some point before this goes into effect. I'm 402 00:23:03,280 --> 00:23:07,040 Speaker 1: just wondering which areas of retail are the most price sensitive, 403 00:23:07,080 --> 00:23:10,280 Speaker 1: because you were talking about how that matters here. Well, obviously, 404 00:23:10,280 --> 00:23:13,679 Speaker 1: you know, when you talk about you know, commodity goods, UM, 405 00:23:13,880 --> 00:23:16,640 Speaker 1: things that are well, first we talk about like perishable goods, 406 00:23:16,680 --> 00:23:18,400 Speaker 1: things like that that that don't have a long life 407 00:23:19,119 --> 00:23:22,480 Speaker 1: life sheelf that have to be replenished quickly. Um. You know, 408 00:23:22,480 --> 00:23:24,720 Speaker 1: when you talk about retailers that are selling things for 409 00:23:26,920 --> 00:23:30,480 Speaker 1: you can imagine what impact of that would be. And 410 00:23:30,520 --> 00:23:33,240 Speaker 1: the consumers that are purchasing from there don't have a 411 00:23:33,240 --> 00:23:36,520 Speaker 1: lot of discretionary income. Some of the luxury retailers are 412 00:23:36,520 --> 00:23:39,879 Speaker 1: concerned that when things like this happen, it trickles down right, 413 00:23:39,880 --> 00:23:42,879 Speaker 1: so you go from luxury to aspirational luxury, aspirational luxury 414 00:23:42,920 --> 00:23:44,760 Speaker 1: down to the mid stream you know, you know, mid tier, 415 00:23:45,080 --> 00:23:47,400 Speaker 1: mid tier down to you know, off price and discount. 416 00:23:47,760 --> 00:23:51,360 Speaker 1: So it could potentially hit every single facet of retail. 417 00:23:51,440 --> 00:23:55,520 Speaker 1: And then when it when you're talking about discretionary uh 418 00:23:55,600 --> 00:23:58,560 Speaker 1: income and discretionary products, um, these are tend to be 419 00:23:58,760 --> 00:24:01,880 Speaker 1: the things that are affected uh first when it comes 420 00:24:01,920 --> 00:24:05,640 Speaker 1: to purchasing decisions. Well, it's interesting we did hear Walmart 421 00:24:05,640 --> 00:24:08,160 Speaker 1: in the last quarterly earnings talk about, you know, suggesting 422 00:24:08,200 --> 00:24:10,200 Speaker 1: that there might be some some issue with terms of 423 00:24:10,440 --> 00:24:12,600 Speaker 1: raising prices and inflation. What is your sense of how 424 00:24:12,680 --> 00:24:15,520 Speaker 1: much just real quickly the you think that the consumer 425 00:24:15,520 --> 00:24:17,600 Speaker 1: will have to bear if in fact this does go through. 426 00:24:18,119 --> 00:24:20,199 Speaker 1: I think what the retailers are saying is that in 427 00:24:20,240 --> 00:24:24,440 Speaker 1: the short term they're going to try to work um, 428 00:24:24,480 --> 00:24:27,000 Speaker 1: They're gonna try to work through it. Um. But that's 429 00:24:27,000 --> 00:24:29,800 Speaker 1: just a short term solution. So some people what they're 430 00:24:29,840 --> 00:24:32,520 Speaker 1: going to do, whether that's the right or wrong decision, 431 00:24:32,560 --> 00:24:34,800 Speaker 1: is they're going to try to maybe UM, move some 432 00:24:34,840 --> 00:24:38,199 Speaker 1: goods in pre labor day and try to that. This 433 00:24:38,240 --> 00:24:40,119 Speaker 1: is what happened before G twenty, a lot of people 434 00:24:40,119 --> 00:24:43,080 Speaker 1: started airing goods in and hoping that it would um 435 00:24:43,119 --> 00:24:46,639 Speaker 1: avoid the increased tariffs. Now the problem there is again 436 00:24:46,640 --> 00:24:50,080 Speaker 1: it's counterintuitive to keeping your inventory levels low. UM. But 437 00:24:50,119 --> 00:24:52,280 Speaker 1: these are only short term solutions. I mean, you're gonna 438 00:24:52,280 --> 00:24:55,040 Speaker 1: see anywhere from a ten to twenty pc increase at retail, 439 00:24:55,080 --> 00:24:58,320 Speaker 1: depending on the on the product. Edward Hurtsman, thank you 440 00:24:58,359 --> 00:25:00,679 Speaker 1: so much for being with us. Thank you. Edward Hertzman 441 00:25:00,760 --> 00:25:04,920 Speaker 1: is founder and president of Sourcing Journal, based in New York. 442 00:25:05,119 --> 00:25:09,880 Speaker 1: This is one of the the biggest trade publication catering 443 00:25:10,200 --> 00:25:14,480 Speaker 1: to the sourcing, apparel and textile industry. Thanks for listening 444 00:25:14,520 --> 00:25:16,920 Speaker 1: to the Bloomberg P and L podcast. You can subscribe 445 00:25:16,920 --> 00:25:19,760 Speaker 1: and listen to interviews at Apple Podcasts or whatever podcast 446 00:25:19,760 --> 00:25:23,320 Speaker 1: platform you prefer. Paul Sweeney, I'm on Twitter at pt Sweeney. 447 00:25:23,359 --> 00:25:26,240 Speaker 1: I'm Lisa A. Bram Wits. I'm on Twitter at Lisa Bramwoits. 448 00:25:26,280 --> 00:25:29,159 Speaker 1: One Before the podcast, you can always catch us worldwide 449 00:25:29,200 --> 00:25:30,159 Speaker 1: on Bloomberg Radio