1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,040 Speaker 1: at Bloomberg dot com slash podcast. Kathan Hagary in DC, 7 00:00:22,520 --> 00:00:25,000 Speaker 1: Paul Sweeney here in New York on a Bloomberg Interactive 8 00:00:25,000 --> 00:00:28,360 Speaker 1: broker studio Busy Danny earnings fun. Particularly for the big banks, 9 00:00:28,360 --> 00:00:30,000 Speaker 1: we had a mix of some of the yeah, what 10 00:00:30,080 --> 00:00:32,360 Speaker 1: I kind of consider the pure investment banks like Morgan 11 00:00:32,400 --> 00:00:36,120 Speaker 1: Stanley and some of the more maybe mainstream banks, commercial banks, 12 00:00:36,159 --> 00:00:39,559 Speaker 1: Corporate Bank, City Wells Fargo. We have Allison Williams here 13 00:00:39,560 --> 00:00:41,720 Speaker 1: in our studios here giving us a sense of kind 14 00:00:41,720 --> 00:00:45,360 Speaker 1: of what's going down here. So it's been a really 15 00:00:45,440 --> 00:00:49,040 Speaker 1: choppy year, Allison. From a capital markets perspective, that's a problem. 16 00:00:49,040 --> 00:00:51,879 Speaker 1: I would think, I don't know, um, but we have 17 00:00:51,920 --> 00:00:53,880 Speaker 1: a you know, we've got interest rates going up and 18 00:00:53,920 --> 00:00:56,840 Speaker 1: that means net interest margin. That's a good thing. So 19 00:00:57,200 --> 00:00:58,840 Speaker 1: when you put it all together, what did you see 20 00:00:59,000 --> 00:01:02,160 Speaker 1: so far in some of the earning today. So to 21 00:01:02,280 --> 00:01:06,640 Speaker 1: your point, net interest income very strong in fact, um, 22 00:01:06,800 --> 00:01:08,399 Speaker 1: you know, we sort of had a sense that it 23 00:01:08,440 --> 00:01:10,520 Speaker 1: was going to come in better than expected, came in 24 00:01:10,600 --> 00:01:14,560 Speaker 1: even better than that, and banks are guiding up for 25 00:01:14,600 --> 00:01:17,000 Speaker 1: the near term. But as we know, a lot of 26 00:01:17,040 --> 00:01:22,280 Speaker 1: the thoughts are turning towards three and um, there there 27 00:01:22,440 --> 00:01:27,319 Speaker 1: was higher than expected provisions related to we think banks 28 00:01:27,319 --> 00:01:30,240 Speaker 1: getting more conservative on the economic outlook. UM. Of course 29 00:01:30,280 --> 00:01:35,000 Speaker 1: that that remains fluid. On the capital market side of things, 30 00:01:35,080 --> 00:01:39,520 Speaker 1: fixed income trading the highlight of the quarter that was expected, 31 00:01:39,560 --> 00:01:42,200 Speaker 1: but again coming in a little bit better. Equities trading 32 00:01:42,240 --> 00:01:46,319 Speaker 1: week fees, as we know, very very weak. But what 33 00:01:46,400 --> 00:01:49,680 Speaker 1: we're seeing in and you're seeing it in the stocks today, um, 34 00:01:49,920 --> 00:01:53,440 Speaker 1: main Street is really the business that's outperforming for this quarter, 35 00:01:54,200 --> 00:01:56,880 Speaker 1: and you're seeing that lift um for companies like well 36 00:01:56,880 --> 00:02:01,120 Speaker 1: it's Fargo, even though they took two billion dollars charge 37 00:02:01,160 --> 00:02:05,200 Speaker 1: related to some hysterical historical issues. Now raises a lot 38 00:02:05,200 --> 00:02:08,640 Speaker 1: of questions about how long net interest income can stay 39 00:02:08,680 --> 00:02:13,120 Speaker 1: elevated and how long the consumer can stay resilient. When 40 00:02:13,320 --> 00:02:17,280 Speaker 1: we are continuing to hear from FED officials even this morning, 41 00:02:17,760 --> 00:02:21,480 Speaker 1: that interest rates are staying higher for longer. I think 42 00:02:21,520 --> 00:02:25,239 Speaker 1: that is the question, um just in terms of things 43 00:02:25,280 --> 00:02:27,560 Speaker 1: are much better if this quarter they look really good 44 00:02:27,600 --> 00:02:33,639 Speaker 1: for next quarter, but um again provisions are rising. That 45 00:02:33,680 --> 00:02:37,040 Speaker 1: really relates to the expectations for next year because the 46 00:02:37,040 --> 00:02:40,640 Speaker 1: current trends actually are coming in more positive than expected. 47 00:02:41,200 --> 00:02:44,360 Speaker 1: And then in terms of higher rates, great for the 48 00:02:44,400 --> 00:02:47,080 Speaker 1: margin right now, but at what point does that start 49 00:02:47,120 --> 00:02:50,679 Speaker 1: to more dramatically slow loan growth and at what point, 50 00:02:50,760 --> 00:02:53,760 Speaker 1: due to pause the costs start to rise more meaningfully, 51 00:02:53,800 --> 00:02:57,639 Speaker 1: which will cut into that. It's October and Allison that 52 00:02:57,680 --> 00:02:59,680 Speaker 1: time year. This is just bread into me. Even though 53 00:02:59,680 --> 00:03:01,600 Speaker 1: I haven't worked on the street for fifteen years, I'm 54 00:03:01,600 --> 00:03:05,880 Speaker 1: already thinking bonus time. What are the big investment banks? 55 00:03:05,919 --> 00:03:08,400 Speaker 1: What's the world on the street about, given it's been 56 00:03:08,440 --> 00:03:10,720 Speaker 1: such a bad year or tough year for the for 57 00:03:10,760 --> 00:03:15,040 Speaker 1: the markets, what's the expectation for compensation this year? So? Uh, 58 00:03:15,280 --> 00:03:19,400 Speaker 1: you know, last year was a huge year for fees 59 00:03:19,440 --> 00:03:24,640 Speaker 1: and trading. We saw compensation um rise accordingly we saw 60 00:03:24,919 --> 00:03:30,079 Speaker 1: coming into the year, I would say, very intense pressure 61 00:03:30,160 --> 00:03:33,280 Speaker 1: in terms of pay um. But we are hearing more 62 00:03:33,320 --> 00:03:37,280 Speaker 1: about lower compensation um. And if you look at sort 63 00:03:37,280 --> 00:03:39,880 Speaker 1: of Golden Jackson Morgan Stanley. Their compensation is the most 64 00:03:39,920 --> 00:03:42,880 Speaker 1: hyped to capital markets. It looks like the declines are 65 00:03:42,920 --> 00:03:46,640 Speaker 1: similar to revenue. UM. We're also going to be looking 66 00:03:46,680 --> 00:03:50,280 Speaker 1: to see what banks are doing on headcount. UM. We're 67 00:03:50,280 --> 00:03:52,960 Speaker 1: seeing growth in the quarter that relates to campus hires. 68 00:03:52,960 --> 00:03:56,400 Speaker 1: As you know, UM tends to grow in the third quarter. UM. 69 00:03:56,440 --> 00:03:58,720 Speaker 1: Morgan Stanley was just speaking on their call and said, 70 00:03:58,800 --> 00:04:01,520 Speaker 1: you know, they're they're not looking at any dramatic cuts yet, 71 00:04:01,560 --> 00:04:03,440 Speaker 1: but obviously these are things they're going to be looking 72 00:04:03,440 --> 00:04:05,760 Speaker 1: at in the fourth quarter. You know, this is something 73 00:04:05,800 --> 00:04:08,320 Speaker 1: Paul Sweeney looks at real closely, from someone to take 74 00:04:08,400 --> 00:04:12,000 Speaker 1: a rug out from under him, whether the workers that 75 00:04:12,200 --> 00:04:16,200 Speaker 1: do stick around, depending on how headcount works out, whether 76 00:04:16,240 --> 00:04:19,599 Speaker 1: they're going to be coming back into the office. So 77 00:04:19,640 --> 00:04:22,720 Speaker 1: I think that you know, we've seen mixed trends, so 78 00:04:23,400 --> 00:04:27,159 Speaker 1: banks like JP Morgan and Goldman Sachs taking a harder 79 00:04:27,200 --> 00:04:29,280 Speaker 1: line on things, and then some other banks sort of 80 00:04:29,400 --> 00:04:32,960 Speaker 1: using that as a way to compete in providing more flexibility. 81 00:04:33,680 --> 00:04:36,320 Speaker 1: As we know, think things remain a little bit influx, 82 00:04:36,360 --> 00:04:38,400 Speaker 1: and I think we're all curious to see what the 83 00:04:38,440 --> 00:04:43,400 Speaker 1: backdrop starts to look like going into UM. But I 84 00:04:43,440 --> 00:04:47,200 Speaker 1: would also say it's a tougher revenue environment. And my 85 00:04:47,320 --> 00:04:51,000 Speaker 1: guess is when you're thinking about things like compensation cuts 86 00:04:51,080 --> 00:04:56,159 Speaker 1: and staff changes, people are probably going to want to 87 00:04:56,200 --> 00:05:00,599 Speaker 1: be in the office more often and you know, again 88 00:05:00,640 --> 00:05:02,560 Speaker 1: hopefully on the road. If you're a banker trying to 89 00:05:02,560 --> 00:05:06,120 Speaker 1: get more business, Hey Elson, on a global scale, is 90 00:05:06,120 --> 00:05:09,720 Speaker 1: there can these European banks? Can they ever be competitive? 91 00:05:09,880 --> 00:05:13,680 Speaker 1: I mean really competitive? I think Deutsche Bank, Anna Barkley's, 92 00:05:14,320 --> 00:05:17,400 Speaker 1: the Swiss banks, it just seems like they just they 93 00:05:17,640 --> 00:05:19,920 Speaker 1: will never have the scale unless the rules change over 94 00:05:19,960 --> 00:05:21,719 Speaker 1: the in terms of cross border m and A that 95 00:05:21,760 --> 00:05:24,479 Speaker 1: they can compete with the big banks in US. Yeah, 96 00:05:24,520 --> 00:05:27,240 Speaker 1: I think, And I think part of it is, you know, 97 00:05:27,279 --> 00:05:29,800 Speaker 1: we're sort of a decade long now of sort of 98 00:05:29,800 --> 00:05:32,760 Speaker 1: a virtuous cycle for the US banks and you know 99 00:05:32,839 --> 00:05:35,839 Speaker 1: the opposite for the Europeans. U S banks got issues 100 00:05:35,880 --> 00:05:40,520 Speaker 1: behind them. Sooner they moved past the legatory, regulatory and 101 00:05:40,600 --> 00:05:44,640 Speaker 1: legal issues, sooner they had a good economy. They had 102 00:05:44,800 --> 00:05:46,920 Speaker 1: they had a period of higher rates before they came 103 00:05:46,960 --> 00:05:50,400 Speaker 1: down and now coming back again, and that all allowed 104 00:05:50,440 --> 00:05:53,040 Speaker 1: them to make these long term investments. So like you're 105 00:05:53,080 --> 00:05:56,520 Speaker 1: looking at JP Morgan. You know, they're equity trading. Last 106 00:05:56,680 --> 00:05:58,919 Speaker 1: last quarter is more than anybody, and that was a 107 00:05:58,960 --> 00:06:02,080 Speaker 1: business that you know, as you know, cash equities was 108 00:06:02,080 --> 00:06:05,119 Speaker 1: was sort of the laggard for them, and now they're there, 109 00:06:05,640 --> 00:06:08,880 Speaker 1: whereas on the Europeans it's it's sort of been the opposite. Um, 110 00:06:08,920 --> 00:06:11,720 Speaker 1: they've struggled with revenue, they haven't had the money to invest, 111 00:06:11,760 --> 00:06:15,680 Speaker 1: they've done restructuring after restructuring, credits. We know has some 112 00:06:15,760 --> 00:06:20,000 Speaker 1: big risk management issues. Um. So it does seem like, 113 00:06:20,839 --> 00:06:23,000 Speaker 1: you know, it's one of those things on paper, would 114 00:06:23,000 --> 00:06:26,560 Speaker 1: make sense for a couple of these to get together. Um, 115 00:06:26,600 --> 00:06:29,040 Speaker 1: but there's also issues, right, everyone wants to be the buyer. 116 00:06:29,120 --> 00:06:32,679 Speaker 1: No one wants to be the seller exactly. And it's political, 117 00:06:32,760 --> 00:06:34,920 Speaker 1: it's cultural, I know, but it just you see how 118 00:06:34,960 --> 00:06:37,159 Speaker 1: the market shares are going, you just gotta say, boy, 119 00:06:37,200 --> 00:06:39,760 Speaker 1: at some point they're just going to be competed almost 120 00:06:39,760 --> 00:06:43,000 Speaker 1: out of business and made so almost irrelevant. Its crazy 121 00:06:43,040 --> 00:06:45,479 Speaker 1: to see how that's evolved, all right. Alison Williams, senior 122 00:06:45,600 --> 00:06:50,640 Speaker 1: banking analysts for a Bloomberg Intelligence, also co director of 123 00:06:50,680 --> 00:06:59,840 Speaker 1: Research for the America's for Bloomberg Intelligence in the pandemic 124 00:07:00,040 --> 00:07:06,120 Speaker 1: of our go to voices for really scientific based analysis 125 00:07:06,200 --> 00:07:10,280 Speaker 1: of the virus, of the you know, the treatments and 126 00:07:10,320 --> 00:07:13,840 Speaker 1: of the vaccines with Sam Fazelli, head of European Research 127 00:07:13,880 --> 00:07:17,720 Speaker 1: and pharmaceutical analysts for Bloomberg and Intelligence. Now that we've 128 00:07:18,080 --> 00:07:21,160 Speaker 1: essentially for most people in the world have kind of 129 00:07:21,200 --> 00:07:22,840 Speaker 1: put this in the review mirror, we can actually let 130 00:07:22,880 --> 00:07:26,760 Speaker 1: him get back to doing what he does, just extend 131 00:07:26,760 --> 00:07:30,040 Speaker 1: the emergency over at the White House. I saw that. Yeah, 132 00:07:30,120 --> 00:07:32,440 Speaker 1: so it depends on how you view what I guess. 133 00:07:32,440 --> 00:07:36,560 Speaker 1: But Sam, you know, there is another booster out in 134 00:07:36,640 --> 00:07:40,680 Speaker 1: the marketplace and I'm getting it in a couple of weeks, Um, 135 00:07:40,800 --> 00:07:44,560 Speaker 1: what's your view of I guess these periodic boosters h 136 00:07:44,840 --> 00:07:51,640 Speaker 1: for COVID nineteen the hilt. So the issue is that 137 00:07:51,680 --> 00:07:55,640 Speaker 1: we've never really done this before, right, Everything about this 138 00:07:55,680 --> 00:07:58,600 Speaker 1: pandemic has been clearly one of the first time I've 139 00:07:58,760 --> 00:08:01,640 Speaker 1: been through this kind of thing us in a hundred years. 140 00:08:01,720 --> 00:08:05,360 Speaker 1: So it's difficult to be a hundred percent sure about anything, 141 00:08:05,600 --> 00:08:06,920 Speaker 1: and I think that's one of the things that I 142 00:08:06,920 --> 00:08:08,920 Speaker 1: think has surprised people about the science. But in this 143 00:08:09,000 --> 00:08:11,960 Speaker 1: particular case, people are being asked to take it by 144 00:08:12,040 --> 00:08:15,760 Speaker 1: Vail and Booster that's more properly fully tested in in 145 00:08:15,800 --> 00:08:20,080 Speaker 1: folks as regardless efficacy, And the thing that I've been 146 00:08:20,080 --> 00:08:22,720 Speaker 1: saying all along, I'm a little bit worried pushing this 147 00:08:22,920 --> 00:08:25,960 Speaker 1: to the broad population. Let's put a science folks that 148 00:08:26,000 --> 00:08:28,520 Speaker 1: are perhaps as old as me or have got some 149 00:08:28,560 --> 00:08:32,080 Speaker 1: issues with the immunity, etcetera. Certainly for those folks, but 150 00:08:32,240 --> 00:08:34,640 Speaker 1: to push it out broader, and we don't even know 151 00:08:34,679 --> 00:08:37,280 Speaker 1: how well it does against the current variants that are 152 00:08:37,320 --> 00:08:40,720 Speaker 1: all sorts of flavors of record. Now, I think it's 153 00:08:40,720 --> 00:08:44,439 Speaker 1: gonna as a risk that it would cause us even 154 00:08:44,520 --> 00:08:48,000 Speaker 1: more lots of confidence in vaccines in general if it 155 00:08:48,080 --> 00:08:51,440 Speaker 1: doesn't work so well. That's what I'm worried about. Well, Sam, 156 00:08:51,520 --> 00:08:54,840 Speaker 1: we did just get some guidance from Fiser just this 157 00:08:54,920 --> 00:08:58,520 Speaker 1: week that the by Valent vaccine that's targeted on the 158 00:08:58,640 --> 00:09:04,400 Speaker 1: CRON shows strong results in boosting neutralizing antibodies. I mean 159 00:09:04,840 --> 00:09:09,439 Speaker 1: that has to count for something, doesn't it? Uh Normally, 160 00:09:09,600 --> 00:09:11,840 Speaker 1: Nat and I would say yes, But did you see 161 00:09:11,840 --> 00:09:18,679 Speaker 1: a single number in that did we point take in? No? No, 162 00:09:18,760 --> 00:09:21,960 Speaker 1: But it was against to be a five of variants. 163 00:09:22,320 --> 00:09:25,120 Speaker 1: What are we dealing with? Nine? New York before six 164 00:09:25,640 --> 00:09:32,240 Speaker 1: b Q one one simple five happens number when you 165 00:09:32,320 --> 00:09:35,199 Speaker 1: talk to these PhD types, Nathan, that's what happens. But 166 00:09:35,280 --> 00:09:36,920 Speaker 1: we are all about the numbers. There was a lot 167 00:09:36,960 --> 00:09:41,720 Speaker 1: of numbers just now saying it's all about numbers. I know, 168 00:09:41,880 --> 00:09:44,319 Speaker 1: I know that's the backbone of Bloomberg intelligence research and 169 00:09:44,400 --> 00:09:46,640 Speaker 1: that that data. All right, let's talk about the stock 170 00:09:46,880 --> 00:09:49,960 Speaker 1: um Fiser. I look at the f A function, which 171 00:09:50,000 --> 00:09:52,400 Speaker 1: is financial analysis. I look at kind of the revenue trends. 172 00:09:52,760 --> 00:09:55,120 Speaker 1: All right, So in they had forty two billion of 173 00:09:55,200 --> 00:09:59,880 Speaker 1: revenue and then boom, it doubled in eighty one billion, 174 00:10:00,200 --> 00:10:03,840 Speaker 1: and it's looking to add another or I guess go 175 00:10:03,920 --> 00:10:07,840 Speaker 1: to about a hundred billion this year consensus, but then 176 00:10:07,880 --> 00:10:11,800 Speaker 1: it drops down to like seventy nine of revenue. How 177 00:10:11,800 --> 00:10:16,840 Speaker 1: does the stock perform with that kind of crazy changes 178 00:10:17,040 --> 00:10:19,439 Speaker 1: in revenue? And yes, it was all COVID nineteen related 179 00:10:19,520 --> 00:10:21,920 Speaker 1: or mostly, but how does the stock perform? How do 180 00:10:22,040 --> 00:10:25,480 Speaker 1: investors look at the stock like visor U during this 181 00:10:25,559 --> 00:10:30,120 Speaker 1: COVID in post COVID period. Yeah, I know, you know. 182 00:10:30,120 --> 00:10:32,240 Speaker 1: The first thing I want to say is hots off 183 00:10:32,240 --> 00:10:35,600 Speaker 1: to them for really absolutely so hard and I think 184 00:10:36,080 --> 00:10:38,520 Speaker 1: to get this faccine out because it has made a 185 00:10:38,600 --> 00:10:41,160 Speaker 1: huge difference to the way that people are reacted to 186 00:10:41,200 --> 00:10:44,760 Speaker 1: this virus data side. As you know, investors tend to 187 00:10:44,760 --> 00:10:47,760 Speaker 1: look forward, and when you look forward, it's very difficult 188 00:10:47,760 --> 00:10:51,319 Speaker 1: to know where this boost campaigns and how many more 189 00:10:51,360 --> 00:10:54,199 Speaker 1: of these shots were gonna need. If you take away 190 00:10:54,520 --> 00:10:57,720 Speaker 1: you know, the COVID vaccine had more things than the 191 00:10:57,800 --> 00:11:01,880 Speaker 1: rest of fightser together. So that's what I think investors 192 00:11:01,880 --> 00:11:04,559 Speaker 1: are a little bit not worried about. But what's the 193 00:11:04,640 --> 00:11:07,920 Speaker 1: company going to do with this massive windfall? Can it 194 00:11:08,280 --> 00:11:12,520 Speaker 1: converted into more nuggets to drive that long term growth? 195 00:11:12,800 --> 00:11:15,280 Speaker 1: And that's what everyone's hanging on to see. If you 196 00:11:15,320 --> 00:11:17,760 Speaker 1: look at the stock price, you see that it hasn't 197 00:11:17,760 --> 00:11:21,160 Speaker 1: really performed that particularly well over the past six months. 198 00:11:21,280 --> 00:11:24,920 Speaker 1: And that's why, well to some extent, Fighter might want 199 00:11:25,240 --> 00:11:29,439 Speaker 1: there to be annual boosters so they can keep getting 200 00:11:29,440 --> 00:11:32,000 Speaker 1: these shots into people. It wouldn't that help a little 201 00:11:32,000 --> 00:11:37,800 Speaker 1: bit if if they got a annual booster campaign going. Yeah, 202 00:11:37,840 --> 00:11:39,920 Speaker 1: I think even one of the competitors would like its 203 00:11:40,080 --> 00:11:44,360 Speaker 1: bi annually every every every six months. That the company 204 00:11:44,400 --> 00:11:46,720 Speaker 1: may want that, but the question is to people need it. 205 00:11:47,200 --> 00:11:49,080 Speaker 1: I think if you think about people over the age 206 00:11:49,080 --> 00:11:52,120 Speaker 1: of sixty seventy, those who are not able to keep 207 00:11:52,160 --> 00:11:57,120 Speaker 1: the immune system in in ship shape to fight the virus, 208 00:11:57,200 --> 00:11:59,840 Speaker 1: and also those who are unfortunately in you know, come 209 00:12:00,000 --> 00:12:02,000 Speaker 1: wise or com mobilities of wish. There are a lot 210 00:12:02,000 --> 00:12:05,120 Speaker 1: of people may require a shot every six months, every 211 00:12:05,120 --> 00:12:08,320 Speaker 1: twelve months, but the broader folks over the age of twelve, 212 00:12:08,440 --> 00:12:11,760 Speaker 1: you know, those who are fifty, forty thirty, do they 213 00:12:11,800 --> 00:12:15,360 Speaker 1: really needed And I think that this boost the campaign 214 00:12:15,400 --> 00:12:19,120 Speaker 1: is going to potentially show us that that we we are. 215 00:12:19,520 --> 00:12:22,880 Speaker 1: It's a difficult battle to trans stop infections with this accent. 216 00:12:23,160 --> 00:12:25,079 Speaker 1: All right, Sam, let's step back a little bit. You've 217 00:12:25,080 --> 00:12:28,520 Speaker 1: been covering the pharma and the biotech industries for decades. 218 00:12:28,920 --> 00:12:32,120 Speaker 1: As we step away a little bit from focus on COVID. 219 00:12:32,760 --> 00:12:36,880 Speaker 1: Are your industries biotech farmer? You know, are they going? 220 00:12:37,040 --> 00:12:38,800 Speaker 1: Is there anything we can learn from this m r 221 00:12:39,000 --> 00:12:43,120 Speaker 1: N a technology that might help with I don't know, cancer, Alzheimer's, 222 00:12:43,120 --> 00:12:45,920 Speaker 1: some of the other big issues that you know, the 223 00:12:45,960 --> 00:12:50,720 Speaker 1: health care industries focused on. Yes, So, Paul, Only two 224 00:12:50,800 --> 00:12:54,080 Speaker 1: days ago, I think Madonna had an update about a 225 00:12:54,120 --> 00:12:56,600 Speaker 1: deal that deal, the pact that they have with LURK 226 00:12:56,880 --> 00:13:00,640 Speaker 1: of the US in using m orny as a vaccine 227 00:13:00,640 --> 00:13:05,080 Speaker 1: against counter and the theory is great because you can 228 00:13:05,120 --> 00:13:08,480 Speaker 1: try and dice to divert the immune system, push the 229 00:13:08,480 --> 00:13:13,280 Speaker 1: immune system to recognize special markers on cancer cells that 230 00:13:13,320 --> 00:13:16,440 Speaker 1: you introduce using the m R an a technology that's great. 231 00:13:16,840 --> 00:13:20,000 Speaker 1: Fingers crossed. It will show some strong benefits. A lot 232 00:13:20,000 --> 00:13:21,960 Speaker 1: more detail needed, so at least in that front, I 233 00:13:21,960 --> 00:13:24,120 Speaker 1: think you've seen some of that. Pushing it out to 234 00:13:24,880 --> 00:13:28,599 Speaker 1: neuro neuropsychiatric diseases, etcetera. All of those things need to 235 00:13:28,640 --> 00:13:31,120 Speaker 1: be proven. Well. One thing we've learned during the pandemic, 236 00:13:31,720 --> 00:13:36,480 Speaker 1: science can really deliver if it's let a lot, if 237 00:13:36,480 --> 00:13:38,880 Speaker 1: it's left alone to do his job well. And I 238 00:13:38,920 --> 00:13:42,120 Speaker 1: think this was exactly what we've seen with regards to 239 00:13:43,080 --> 00:13:45,760 Speaker 1: the m R and a technology which many people didn't 240 00:13:45,760 --> 00:13:48,920 Speaker 1: believe in, but enough people did to finance it and 241 00:13:48,920 --> 00:13:53,080 Speaker 1: get it to help us get through this problem. Sam, 242 00:13:53,160 --> 00:13:55,480 Speaker 1: you're and and I know you're in France. Give us 243 00:13:55,520 --> 00:13:57,640 Speaker 1: just third thirty seconds. How are people in France thinking 244 00:13:57,640 --> 00:13:59,719 Speaker 1: about the pandemic? Is it completely in the rear view 245 00:13:59,760 --> 00:14:04,520 Speaker 1: mirror or is it still kind of front and center? Yeah? No, 246 00:14:04,600 --> 00:14:06,800 Speaker 1: I mean everybody knows it's there. We have some friends 247 00:14:06,800 --> 00:14:08,560 Speaker 1: who were supposed to go and help us this weekend 248 00:14:08,600 --> 00:14:10,719 Speaker 1: to be moving house, and they both got COVID. They're 249 00:14:10,720 --> 00:14:13,360 Speaker 1: sitting at home. But people don't think about it like 250 00:14:13,400 --> 00:14:17,199 Speaker 1: that anymore. Life is absolutely back to normal here. No 251 00:14:17,640 --> 00:14:20,600 Speaker 1: different to New York, no different to London. Okay, moved on, 252 00:14:20,760 --> 00:14:25,440 Speaker 1: all right? Good stuff. Sam Fazli, Yes, and he's uh. 253 00:14:25,560 --> 00:14:28,400 Speaker 1: He lives in France. He works in London. Occasionally he 254 00:14:28,440 --> 00:14:30,400 Speaker 1: shows up in New York. I have no idea where 255 00:14:30,400 --> 00:14:33,560 Speaker 1: this guy is most of the time. Sam, exactly ahead 256 00:14:33,560 --> 00:14:36,360 Speaker 1: of European research. He's a pharmaceutical analyst, one of the 257 00:14:36,360 --> 00:14:39,000 Speaker 1: absolute best in the city of London. He's been doing 258 00:14:39,040 --> 00:14:40,960 Speaker 1: it for decades and he's been a great help to 259 00:14:41,040 --> 00:14:43,400 Speaker 1: us a Bloomberg Radio television during his pandemic, giving us 260 00:14:43,400 --> 00:14:46,320 Speaker 1: some you know, real fact based analysis there. He's a 261 00:14:46,360 --> 00:14:51,160 Speaker 1: Bloomberg intelligence, so we appreciate getting his thoughts. All right, 262 00:14:51,200 --> 00:14:52,760 Speaker 1: let's break down this with this big M and a 263 00:14:52,880 --> 00:14:55,760 Speaker 1: trade here that again, Bloomberg News was broke a couple 264 00:14:55,800 --> 00:15:00,280 Speaker 1: of days ago. It's been official today. Kroeger Albertson's nearly 265 00:15:00,280 --> 00:15:04,080 Speaker 1: a billion dollar deal. Jenn bartashes she covers this sector 266 00:15:04,560 --> 00:15:06,680 Speaker 1: like nobody else on Wall Street. She's a senior equity 267 00:15:06,680 --> 00:15:11,240 Speaker 1: analyst for Bloomberg Intelligence. Hey, Jen, so we've kind of 268 00:15:11,640 --> 00:15:14,080 Speaker 1: got the deal. It was again first reported by Bloomberg 269 00:15:14,080 --> 00:15:18,840 Speaker 1: a couple days ago, now confirmed. My question is antitrust? 270 00:15:18,920 --> 00:15:22,520 Speaker 1: Is this going to get approved by the regulators? Good morning, Paul. 271 00:15:22,600 --> 00:15:25,840 Speaker 1: It's I think the question that's really top of mind. Um. 272 00:15:25,880 --> 00:15:29,040 Speaker 1: It's clear that Kroger is trying to offset that concern 273 00:15:29,200 --> 00:15:31,920 Speaker 1: by the structure that they've announced with a spin off 274 00:15:31,920 --> 00:15:34,440 Speaker 1: company in some stores. But when you look at the 275 00:15:34,480 --> 00:15:38,640 Speaker 1: actual map of coverage, it's there. There. There are areas 276 00:15:38,640 --> 00:15:40,280 Speaker 1: where there's not a lot of overlap, but there are 277 00:15:40,320 --> 00:15:43,120 Speaker 1: areas where there's significant overlap. And those happened to be 278 00:15:43,200 --> 00:15:48,160 Speaker 1: in big urban areas like Seattle, like Los Angeles, San Diego, 279 00:15:48,640 --> 00:15:51,800 Speaker 1: at Texas, in the Houston area. So this is where 280 00:15:51,800 --> 00:15:54,440 Speaker 1: the concern comes in that the FTC, which has become 281 00:15:54,800 --> 00:15:59,680 Speaker 1: increasingly critical of big of big mergers, may really push 282 00:15:59,720 --> 00:16:02,120 Speaker 1: back and some of this. Yeah, a lot of folks 283 00:16:02,160 --> 00:16:04,120 Speaker 1: on this side of the country might not be as 284 00:16:04,160 --> 00:16:06,840 Speaker 1: familiar with Albertson's, but it is big out on the 285 00:16:06,840 --> 00:16:09,080 Speaker 1: West Coast where I spent a little time as a kid, 286 00:16:09,160 --> 00:16:11,800 Speaker 1: so I have vague memories of it. What are the 287 00:16:12,120 --> 00:16:17,080 Speaker 1: struggles for Albertson's out West, Jen, Well, you know Albertson's. 288 00:16:17,120 --> 00:16:20,000 Speaker 1: Albertson's has done a good job of improving their operations 289 00:16:20,000 --> 00:16:22,720 Speaker 1: in the last couple of years. UM. But when you're 290 00:16:22,720 --> 00:16:27,960 Speaker 1: talking about very dense markets where both Albertson's and Kuger operate, UM, 291 00:16:28,000 --> 00:16:30,080 Speaker 1: there's there's going to have to be, you know, some 292 00:16:30,160 --> 00:16:33,760 Speaker 1: sort of solution that's that's provided to avoid you know, 293 00:16:34,280 --> 00:16:37,320 Speaker 1: market share ending up in the hands of just too 294 00:16:37,400 --> 00:16:40,960 Speaker 1: few competitors. UM. And we've seen the Biden administration take 295 00:16:41,080 --> 00:16:43,400 Speaker 1: a bigger stance on this kind of anti trust type 296 00:16:43,400 --> 00:16:46,680 Speaker 1: thing with the meatpacking industry and other technology industry things 297 00:16:46,680 --> 00:16:50,200 Speaker 1: like that. So that's that's one of the concerns um. 298 00:16:50,320 --> 00:16:52,840 Speaker 1: And so you know, the other thing is that there's 299 00:16:52,880 --> 00:16:56,280 Speaker 1: a long timeline before this deal is meant to close, 300 00:16:56,280 --> 00:16:58,960 Speaker 1: which is the beginning of four There's a lot that 301 00:16:59,040 --> 00:17:01,280 Speaker 1: can go wrong in such a long try and frame 302 00:17:01,800 --> 00:17:04,440 Speaker 1: that could disrupt the current operations and make the success 303 00:17:04,440 --> 00:17:07,760 Speaker 1: of the merger ultimately a little bit riskier. Hey, Jen, 304 00:17:07,880 --> 00:17:10,240 Speaker 1: I you know, I kind of get it. Um you know, 305 00:17:10,359 --> 00:17:12,720 Speaker 1: bigger's better, scale, all that kind of stuff and a 306 00:17:12,760 --> 00:17:16,560 Speaker 1: relatively low low margin business. Give us a sensor. Just 307 00:17:16,920 --> 00:17:21,040 Speaker 1: describe how Walmart has come into this business, the supermar 308 00:17:21,080 --> 00:17:24,159 Speaker 1: market business, the food business, and how they've disrupted the business. 309 00:17:24,359 --> 00:17:29,920 Speaker 1: Where's Walmart? And can this combined co compete with Walmart? Yeah, 310 00:17:30,040 --> 00:17:32,520 Speaker 1: that's a great question call when you know, if you 311 00:17:32,520 --> 00:17:34,679 Speaker 1: look at Walmart and you break down their revenue and 312 00:17:34,720 --> 00:17:36,720 Speaker 1: you look at what the same goods that are sold 313 00:17:36,720 --> 00:17:40,159 Speaker 1: at a grocery store versus everything a Walmart carries a 314 00:17:40,200 --> 00:17:42,680 Speaker 1: little of our fifty of their revenue comes from what 315 00:17:42,920 --> 00:17:46,640 Speaker 1: grocery market grocery stores sell. Um So it is a 316 00:17:46,680 --> 00:17:49,879 Speaker 1: big It is a big competitor on a national scale. 317 00:17:49,920 --> 00:17:54,080 Speaker 1: They hold about of all food retail or grocery market 318 00:17:54,119 --> 00:17:57,840 Speaker 1: share um so, the combined entity of Kroger and Albertson's 319 00:17:58,200 --> 00:18:01,359 Speaker 1: together would bring their mark get share up to you 320 00:18:01,560 --> 00:18:07,040 Speaker 1: about just under So you know they can compete. And 321 00:18:07,119 --> 00:18:09,480 Speaker 1: obviously scale will help them compete because they can be 322 00:18:09,560 --> 00:18:12,639 Speaker 1: more competitive on pricing, they can procure goods at a 323 00:18:12,680 --> 00:18:16,240 Speaker 1: lower cost. But it takes time to achieve that type 324 00:18:16,280 --> 00:18:19,560 Speaker 1: of synergy. Um And in the meantime, Walmart will not 325 00:18:19,640 --> 00:18:22,440 Speaker 1: take their foot off of the accelerator. Um. And so 326 00:18:22,640 --> 00:18:25,000 Speaker 1: you know, yes, it will improve their ability to compete, 327 00:18:25,040 --> 00:18:27,960 Speaker 1: but um, they're also going to be tied up with 328 00:18:28,000 --> 00:18:31,720 Speaker 1: integration efforts, UM, which could delay their ability to continue 329 00:18:31,760 --> 00:18:35,040 Speaker 1: to expand and remain competitive with Walmart during that time frame. 330 00:18:35,440 --> 00:18:37,320 Speaker 1: It's not just Walmart. I think the last time we 331 00:18:37,400 --> 00:18:40,400 Speaker 1: heard about a big grocery deal sort of like this 332 00:18:40,520 --> 00:18:44,320 Speaker 1: was when Amazon purchased Whole Foods. I mean, how has 333 00:18:44,400 --> 00:18:49,159 Speaker 1: the grocery market just more broadly shifted given all the 334 00:18:49,200 --> 00:18:52,520 Speaker 1: different types of players that are in it now. It's 335 00:18:52,600 --> 00:18:54,840 Speaker 1: it's been a huge change in the dynamic of the 336 00:18:54,880 --> 00:18:57,720 Speaker 1: industry in the last couple of years. UM. And you 337 00:18:57,760 --> 00:19:00,600 Speaker 1: know with with Amazon, you know, purchase of Foods, which 338 00:19:00,640 --> 00:19:04,600 Speaker 1: is probably the most recent larger transaction out there. UM. Yeah, 339 00:19:04,640 --> 00:19:07,640 Speaker 1: it really shook the industry up, especially from a technology 340 00:19:07,680 --> 00:19:13,480 Speaker 1: perspective and a digital ordering type of perspective. Um. When 341 00:19:13,480 --> 00:19:17,680 Speaker 1: you're looking at the traditional supermarket players, however, it's been 342 00:19:17,960 --> 00:19:21,880 Speaker 1: a story about industry consolidation. UH. And we've seen smaller 343 00:19:21,920 --> 00:19:24,640 Speaker 1: players go out of business or be scooped up. Um. 344 00:19:24,880 --> 00:19:28,280 Speaker 1: And so what we're seeing in the industry now is 345 00:19:28,320 --> 00:19:33,800 Speaker 1: we're having gale driven players UM, making it increasingly difficult 346 00:19:33,880 --> 00:19:37,520 Speaker 1: for smaller regional players or local players to remain successful 347 00:19:37,520 --> 00:19:40,680 Speaker 1: and competitive. UM. And that that then also is kind 348 00:19:40,680 --> 00:19:42,560 Speaker 1: of a long term trend that we expect to see 349 00:19:42,560 --> 00:19:46,520 Speaker 1: continue with regards to that that consolidation UM. And there 350 00:19:46,560 --> 00:19:50,080 Speaker 1: are new pressures of having you know, being more technologically 351 00:19:50,160 --> 00:19:53,800 Speaker 1: savvy and to create you know, higher revenue stream you know, 352 00:19:53,880 --> 00:19:56,760 Speaker 1: higher margin revenue streams for these businesses as well. So 353 00:19:56,800 --> 00:19:58,639 Speaker 1: there are a lot of balls to juggle for for 354 00:19:58,680 --> 00:20:01,119 Speaker 1: these retailers at the moment. All Right, jenn thanks so 355 00:20:01,160 --> 00:20:03,320 Speaker 1: much for joining us. You are the experts, so we 356 00:20:03,320 --> 00:20:05,399 Speaker 1: had to get you on to kind of talk about 357 00:20:05,440 --> 00:20:09,080 Speaker 1: this deal, big deal billion bankers getting paid, which is 358 00:20:09,080 --> 00:20:12,320 Speaker 1: the first thing I look at. New competitor potentially for 359 00:20:12,400 --> 00:20:15,240 Speaker 1: the Walmarts of the world in the supermarket space. I'm 360 00:20:15,240 --> 00:20:17,640 Speaker 1: still waiting for Piggy Wiggley to come to New Jersey, 361 00:20:17,680 --> 00:20:20,720 Speaker 1: but we'll see. Jennifer Bartasha's senior equity research annelist for 362 00:20:20,720 --> 00:20:25,600 Speaker 1: Bloomberg Intelligence, joins us there and again UM consolidation UH 363 00:20:25,600 --> 00:20:27,800 Speaker 1: in the supermarket business. And his Nathan was talking about, 364 00:20:27,800 --> 00:20:29,679 Speaker 1: I mean, you know, I got Amazon coming in with 365 00:20:29,720 --> 00:20:32,880 Speaker 1: Whole Foods years ago really changed the landscape as well. 366 00:20:37,960 --> 00:20:40,320 Speaker 1: We had to retail sales this morning. I don't know. 367 00:20:40,400 --> 00:20:44,439 Speaker 1: The headline, flat month the month, that's a little bit 368 00:20:44,480 --> 00:20:47,199 Speaker 1: weaker than the prior month, so that's not great. The 369 00:20:47,200 --> 00:20:49,159 Speaker 1: control group, however, came in a little bit better and 370 00:20:49,200 --> 00:20:52,119 Speaker 1: expected and better than last month. So let's call it mixed. 371 00:20:52,160 --> 00:20:54,119 Speaker 1: I guess, but I don't know. What do I know? 372 00:20:54,280 --> 00:20:56,600 Speaker 1: Mariy Shure, she knows what's going on. She's a senior 373 00:20:56,640 --> 00:20:59,800 Speaker 1: equity also Columbia Thread Needle Investments. Before that, she was 374 00:21:00,040 --> 00:21:03,960 Speaker 1: with some little shop downtown Goldman Sachs University of Pennsylvania, 375 00:21:04,040 --> 00:21:06,800 Speaker 1: so she's uh, knows what she's talking about here. Mary, 376 00:21:06,880 --> 00:21:09,360 Speaker 1: What did you take away from some of the retail 377 00:21:09,400 --> 00:21:11,440 Speaker 1: sales data we we saw this morning? How's the consumer 378 00:21:11,440 --> 00:21:15,400 Speaker 1: doing well? Thanks so much for having me. My reaction 379 00:21:15,440 --> 00:21:19,080 Speaker 1: this morning was very similar to yours. More mixed. I 380 00:21:19,119 --> 00:21:23,000 Speaker 1: would say two key takeaways for me. Number one, the 381 00:21:23,160 --> 00:21:28,640 Speaker 1: flat month over month read um really implies negative real 382 00:21:29,119 --> 00:21:33,040 Speaker 1: or unit demand given what we've seen with inflation, and 383 00:21:33,119 --> 00:21:37,359 Speaker 1: that is very concerning, especially at a time when the 384 00:21:37,440 --> 00:21:41,280 Speaker 1: companies have all really relied on pricing to drive sales, 385 00:21:41,960 --> 00:21:47,119 Speaker 1: and with building inventories, it seems like pricing maybe less 386 00:21:47,200 --> 00:21:50,919 Speaker 1: of a lever going forward, so the what happens with 387 00:21:50,960 --> 00:21:54,080 Speaker 1: the unit demand will be even more key to watch. 388 00:21:55,080 --> 00:21:57,359 Speaker 1: And then the other key takeaway would really just be 389 00:21:57,440 --> 00:22:01,920 Speaker 1: the shift towards necessities. We saw categories like food, health, 390 00:22:01,960 --> 00:22:06,879 Speaker 1: and personal care in general merchandise accelerate slightly month over month, 391 00:22:06,960 --> 00:22:11,919 Speaker 1: while other discretionary category categories saw slow down, and for me, 392 00:22:12,040 --> 00:22:15,000 Speaker 1: the real ones I was watching, we're furniture and consumer 393 00:22:15,040 --> 00:22:19,119 Speaker 1: electronics UM that saw the greatest deceleration month over month. 394 00:22:19,600 --> 00:22:23,080 Speaker 1: And I think that you know, those categories remain um 395 00:22:23,240 --> 00:22:27,920 Speaker 1: at risk cutting into the holiday given building inventory and 396 00:22:28,040 --> 00:22:32,520 Speaker 1: still slowing demand following following two very strong years. So 397 00:22:32,560 --> 00:22:35,680 Speaker 1: are you starting then to see cracks in the resiliency 398 00:22:35,920 --> 00:22:38,760 Speaker 1: that a lot of these bank CEOs you've been hearing 399 00:22:38,840 --> 00:22:44,120 Speaker 1: from our saying that they still see in the consumer. Yeah, 400 00:22:44,280 --> 00:22:47,760 Speaker 1: it's such a great question. We've been talking of this internally. 401 00:22:47,840 --> 00:22:50,760 Speaker 1: You know, the macro is more important than ever, but 402 00:22:50,880 --> 00:22:54,399 Speaker 1: yet there seems to be an even greater discrepancy between 403 00:22:54,440 --> 00:22:57,639 Speaker 1: the macro and the micro in some cases. Um And 404 00:22:57,640 --> 00:23:02,240 Speaker 1: when I think we absolutely have seen cracks, especially for 405 00:23:02,320 --> 00:23:05,560 Speaker 1: some of the categories that were strongest over the past 406 00:23:05,600 --> 00:23:11,200 Speaker 1: few years, like home, consumer electronics, even apparel UM given 407 00:23:11,240 --> 00:23:14,719 Speaker 1: the building inventory and as I said, weakening pricing power, 408 00:23:15,119 --> 00:23:18,280 Speaker 1: which has really been the key driver of sales over 409 00:23:18,320 --> 00:23:20,840 Speaker 1: the past two years UM, and I think that that 410 00:23:20,960 --> 00:23:24,440 Speaker 1: risk continues as we head into holiday and next year. 411 00:23:24,760 --> 00:23:27,960 Speaker 1: You know, a lot of the retailers are talking about 412 00:23:28,000 --> 00:23:31,440 Speaker 1: bringing inventory more in line with sales as we enter 413 00:23:31,520 --> 00:23:34,919 Speaker 1: the holiday. But you know, given what we're seeing on 414 00:23:34,960 --> 00:23:38,960 Speaker 1: a high level in the macro data looking at inventory 415 00:23:39,080 --> 00:23:43,320 Speaker 1: levels relative to sales, UM, there are still a pretty 416 00:23:43,320 --> 00:23:47,960 Speaker 1: wide and unfavorable gap there. So it really does kind 417 00:23:47,960 --> 00:23:50,159 Speaker 1: of call into question what as you said, some of 418 00:23:50,160 --> 00:23:53,960 Speaker 1: these large bank CEOs are saying in general about the consumer. 419 00:23:54,240 --> 00:23:57,680 Speaker 1: I mean, as we saw the retail sales, they're still okay. 420 00:23:57,720 --> 00:24:00,200 Speaker 1: It's not that they're falling off a cliff, which would 421 00:24:00,240 --> 00:24:04,160 Speaker 1: suggest that the consumer is still healthy overall. I think 422 00:24:04,160 --> 00:24:07,520 Speaker 1: we're just seeing, you know, a greater variance in terms 423 00:24:07,560 --> 00:24:10,240 Speaker 1: of how the consumer is spending their money. Of course, 424 00:24:10,280 --> 00:24:14,879 Speaker 1: spending more on necessities as we've seen you know, increases 425 00:24:14,880 --> 00:24:18,199 Speaker 1: in prices of food and energy and gas. You know, 426 00:24:18,200 --> 00:24:21,280 Speaker 1: and spending less on some of these discretionary categories where 427 00:24:21,280 --> 00:24:24,720 Speaker 1: they've really stalked up already over the past two years. Hey, Mari, 428 00:24:24,880 --> 00:24:27,479 Speaker 1: how how promotional our retailer is going to be this 429 00:24:27,520 --> 00:24:29,680 Speaker 1: holiday season? Am I going to get some deals when 430 00:24:29,680 --> 00:24:33,439 Speaker 1: I go to the store? Absolutely? I think you you 431 00:24:33,480 --> 00:24:36,960 Speaker 1: should definitely expect to see deals better than last year. 432 00:24:37,000 --> 00:24:40,760 Speaker 1: And the truth is, throughout this entire year, given that 433 00:24:40,800 --> 00:24:45,680 Speaker 1: inventory was heavy entering this year, we have seen promotions 434 00:24:45,840 --> 00:24:50,320 Speaker 1: rising in categories again like home and apparel. I think 435 00:24:50,320 --> 00:24:54,359 Speaker 1: that continues through the holiday. You saw some retailers, including Amazon, 436 00:24:54,880 --> 00:24:59,520 Speaker 1: trying to pull forward promotional events into October. I don't 437 00:24:59,560 --> 00:25:03,119 Speaker 1: think that at works very well given that number one, 438 00:25:03,160 --> 00:25:07,000 Speaker 1: the companies have been promotional, So I don't think that, 439 00:25:07,240 --> 00:25:10,760 Speaker 1: you know, the marginal return on the increase on the 440 00:25:10,760 --> 00:25:15,159 Speaker 1: incremental promotion is there. And the narrative in the media 441 00:25:15,400 --> 00:25:18,040 Speaker 1: is that inventory is heavy, so I think consumers are 442 00:25:18,040 --> 00:25:20,240 Speaker 1: going to be more willing to wait for the deal, 443 00:25:20,840 --> 00:25:24,240 Speaker 1: and the longer they wait, the more nervous retailers get. 444 00:25:24,840 --> 00:25:28,000 Speaker 1: And so I think you can definitely expect to see 445 00:25:28,280 --> 00:25:32,080 Speaker 1: higher promotions than you have over the past year or two. However, 446 00:25:32,200 --> 00:25:35,320 Speaker 1: a relative to pre pandemic levels. I think that the 447 00:25:35,359 --> 00:25:40,720 Speaker 1: retailers will still be net less promotional. All right, Mary, sure, 448 00:25:40,760 --> 00:25:43,040 Speaker 1: thank you so much for joining us, giving us that 449 00:25:43,119 --> 00:25:45,320 Speaker 1: rundown again. We had retail sales today kind of a 450 00:25:45,320 --> 00:25:47,880 Speaker 1: mixed picture. But as we head into that all important 451 00:25:47,880 --> 00:25:51,960 Speaker 1: holiday season. Mary Shore, Senior equity analyst at Columbia thread Needle, 452 00:25:52,440 --> 00:25:56,240 Speaker 1: giving us her thoughts here promotions, maybe gets promotions there. 453 00:25:56,359 --> 00:25:58,400 Speaker 1: On Nathan's you go out and do your holiday show, 454 00:25:58,480 --> 00:26:01,960 Speaker 1: feels like Black Fridays to into Black October, right when 455 00:26:02,000 --> 00:26:04,399 Speaker 1: you have all these early deals coming in and the 456 00:26:04,480 --> 00:26:06,320 Speaker 1: question is you know stuff gonna be on the shelf 457 00:26:06,359 --> 00:26:07,879 Speaker 1: when you do go there, when you do click by, 458 00:26:07,920 --> 00:26:12,480 Speaker 1: that'll be interesting as well. Thanks for listening to the 459 00:26:12,480 --> 00:26:16,400 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 460 00:26:16,400 --> 00:26:20,720 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 461 00:26:20,720 --> 00:26:25,080 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three. Pet 462 00:26:25,160 --> 00:26:27,760 Speaker 1: On Ball Sweeney I'm on Twitter at pt Sweeney. Before 463 00:26:27,760 --> 00:26:30,600 Speaker 1: the podcast, you can always catch us worldwide at Bloomberg 464 00:26:30,680 --> 00:26:30,920 Speaker 1: Radio