1 00:00:00,240 --> 00:00:11,160 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is Bloomberg Intelligence 2 00:00:11,240 --> 00:00:13,360 Speaker 1: with Alex Steel and Paul Sweeney. 3 00:00:13,480 --> 00:00:16,720 Speaker 2: The real ap performance has been the US corporate high yields. 4 00:00:16,840 --> 00:00:19,160 Speaker 3: Are the companies lean enough? Have they trimmed all the fats? 5 00:00:19,280 --> 00:00:22,440 Speaker 2: The semiconductor business is a really cyclical. 6 00:00:22,040 --> 00:00:26,239 Speaker 1: Business, breaking market headlines and corporate news from across the globe. 7 00:00:26,280 --> 00:00:28,720 Speaker 3: Do investors like the M and A that we've seen? 8 00:00:28,920 --> 00:00:31,880 Speaker 2: These are two big time blue chip companies. 9 00:00:32,159 --> 00:00:35,959 Speaker 3: Window between the peak and cunt changing super fast. 10 00:00:35,800 --> 00:00:40,840 Speaker 1: Bloomberg Intelligence with Alex Steele and Paul Sweeney on Bloomberg Radio. 11 00:00:42,400 --> 00:00:45,120 Speaker 2: Today's Bloomberg Intelligence Show, we dig inside the big business 12 00:00:45,120 --> 00:00:47,280 Speaker 2: story is impacting Wall Street and the global markets. 13 00:00:47,479 --> 00:00:49,479 Speaker 3: Each and every week we provide in depth research and 14 00:00:49,560 --> 00:00:51,320 Speaker 3: data on some of the two thousand companies and one 15 00:00:51,360 --> 00:00:54,040 Speaker 3: hundred and thirty industries our analysts cover worldwide. 16 00:00:54,120 --> 00:00:56,680 Speaker 2: Today we'll look at companies exposure to US terriffs. 17 00:00:56,680 --> 00:00:58,600 Speaker 3: So let's we'll discuss why one of the biggest producers 18 00:00:58,600 --> 00:01:01,040 Speaker 3: of heavy machinery expects a low we're sales this year. 19 00:01:01,520 --> 00:01:03,320 Speaker 2: But first we begin with the tech space and the 20 00:01:03,360 --> 00:01:05,560 Speaker 2: IT company super micro Computer. 21 00:01:05,800 --> 00:01:08,280 Speaker 3: This week, the company reported preliminary results for the fiscal 22 00:01:08,319 --> 00:01:10,720 Speaker 3: third quarter that fell short of analyst expectations. 23 00:01:10,840 --> 00:01:14,360 Speaker 2: The company attributed the miss to customers delaying purchases, which 24 00:01:14,360 --> 00:01:17,400 Speaker 2: we pushed into the current quarter. Super Micro also cited 25 00:01:17,480 --> 00:01:20,920 Speaker 2: higher inventory reserves and expedetic costs for new products. 26 00:01:21,000 --> 00:01:23,440 Speaker 3: For more, we are joined by Wougin Ho Bloomberg Intelligence, 27 00:01:23,480 --> 00:01:24,640 Speaker 3: and your Technology Analyst. 28 00:01:24,840 --> 00:01:28,279 Speaker 2: We first asked Wougin to break down exactly what happened 29 00:01:28,319 --> 00:01:30,160 Speaker 2: in super Micro's preliminary announcement. 30 00:01:30,480 --> 00:01:33,000 Speaker 4: It looks like, you know, when you go big whale 31 00:01:33,040 --> 00:01:36,760 Speaker 4: hunting and you miss those whales you want and missed results. Right, 32 00:01:36,800 --> 00:01:41,520 Speaker 4: They essentially missed sales by about one billion dollars versus 33 00:01:41,760 --> 00:01:44,560 Speaker 4: the midpoint of their guidance. And the fact of the 34 00:01:44,600 --> 00:01:47,640 Speaker 4: matter is these AI deals are monster deals. That's why 35 00:01:47,640 --> 00:01:51,120 Speaker 4: I'm saying it's big whale hunting. One hundred thousand GPU 36 00:01:51,200 --> 00:01:55,960 Speaker 4: cluster that XAI or open AI. Those are three point 37 00:01:56,040 --> 00:01:58,920 Speaker 4: five billion dollar deals. So if you miss on you know, 38 00:01:59,000 --> 00:02:01,960 Speaker 4: one or two of these, that accounts for easily a 39 00:02:02,000 --> 00:02:02,720 Speaker 4: billion dollars. 40 00:02:03,320 --> 00:02:08,240 Speaker 2: So is this a super micro computer specific issue or 41 00:02:08,320 --> 00:02:12,120 Speaker 2: is this big tech spending kind of slung down here? 42 00:02:13,560 --> 00:02:17,960 Speaker 4: Well, it's a product transition issue. Right, So if we 43 00:02:17,960 --> 00:02:22,640 Speaker 4: look at the Nvidia GPUs, they transitioned over from the 44 00:02:22,720 --> 00:02:27,560 Speaker 4: last generation, the Hopper series, to the next generation, the 45 00:02:28,440 --> 00:02:33,120 Speaker 4: Blackwell series, and given the greater capacity and the better 46 00:02:33,160 --> 00:02:36,080 Speaker 4: computational power, the customers were actually waiting for this for 47 00:02:36,160 --> 00:02:38,360 Speaker 4: quite some time now, and now they're clamoring for it. 48 00:02:38,600 --> 00:02:42,440 Speaker 4: So essentially what customers appear to be doing is canceling 49 00:02:42,480 --> 00:02:45,960 Speaker 4: their Hopper orders and moving over to Blackwell. Now, I 50 00:02:46,000 --> 00:02:48,280 Speaker 4: will tell you they weren't the only one that had 51 00:02:48,320 --> 00:02:52,280 Speaker 4: this issue. HPE a couple of months ago, they missed 52 00:02:52,280 --> 00:02:56,280 Speaker 4: their expectations primarily because of this product transition as well. 53 00:02:56,600 --> 00:02:58,320 Speaker 4: And it's biting a super micro now. 54 00:02:58,960 --> 00:03:03,720 Speaker 3: So based on that, the chip cycles moving really fast 55 00:03:03,800 --> 00:03:07,560 Speaker 3: for AI. So what's next after Blackwall? This is just 56 00:03:07,600 --> 00:03:09,720 Speaker 3: going to keep happening and kind of rolling it downhill. 57 00:03:10,600 --> 00:03:13,560 Speaker 4: Yeah, I mean, it's still probably a couple of years 58 00:03:13,600 --> 00:03:17,519 Speaker 4: before we start seeing the newer series of chips really 59 00:03:17,600 --> 00:03:20,560 Speaker 4: ramping up, So we probably have a two year product 60 00:03:20,560 --> 00:03:23,440 Speaker 4: cycle before we get to that. Alex, I mean, let's 61 00:03:23,440 --> 00:03:28,040 Speaker 4: see how the cloud Capex holds up in twenty six 62 00:03:28,080 --> 00:03:32,440 Speaker 4: and twenty seven. But for now, you know, right now, 63 00:03:32,520 --> 00:03:34,839 Speaker 4: we have a neartime product cycle issue for at least 64 00:03:34,840 --> 00:03:36,000 Speaker 4: super Micro and HPE. 65 00:03:36,280 --> 00:03:40,240 Speaker 2: Which what are your companies, kind of the tech hardware companies, 66 00:03:40,240 --> 00:03:45,080 Speaker 2: what are they saying about this whole tariff climate. Is 67 00:03:45,080 --> 00:03:46,880 Speaker 2: it going to be an issue for them? 68 00:03:47,560 --> 00:03:50,480 Speaker 4: Well, we published an update to our tariff note and 69 00:03:50,560 --> 00:03:55,840 Speaker 4: surprisingly they've actually done a good job navigating the tariff issue. 70 00:03:55,920 --> 00:04:02,040 Speaker 4: So far, I've had three companies report related that's hardware related. 71 00:04:02,840 --> 00:04:05,400 Speaker 4: There's a couple of things we need to take into consideration. One, 72 00:04:05,480 --> 00:04:07,880 Speaker 4: a lot of them are outside of China in terms 73 00:04:07,880 --> 00:04:12,800 Speaker 4: of the manufacturing scope, so the tariff impact is fairly minimal. Two, 74 00:04:12,880 --> 00:04:15,320 Speaker 4: there's a lot of manufacturing that comes out of Mexico. 75 00:04:15,840 --> 00:04:20,400 Speaker 4: So you know, because of the US Mexico and Canadian 76 00:04:20,440 --> 00:04:23,120 Speaker 4: trader agreem at U s m c A, they're exempt 77 00:04:23,120 --> 00:04:25,280 Speaker 4: for tariffs. So if you have anything that's built out 78 00:04:25,320 --> 00:04:29,200 Speaker 4: of Mexico or Canada, whatever it's assembled there, you're except 79 00:04:29,240 --> 00:04:32,560 Speaker 4: for tariffs. The companies that have reported uh, they're they're 80 00:04:32,640 --> 00:04:34,760 Speaker 4: using your U s m c A to their advantage 81 00:04:35,000 --> 00:04:38,279 Speaker 4: to win deals. And three and this is this was 82 00:04:38,360 --> 00:04:41,360 Speaker 4: somewhat interesting to me. I thought there would have been 83 00:04:41,360 --> 00:04:44,080 Speaker 4: some pull in deals because of tariff concerns in the 84 00:04:44,120 --> 00:04:50,480 Speaker 4: second quarter. Uh the guidance thus far. Uh Yeah, Western 85 00:04:50,520 --> 00:04:54,720 Speaker 4: Digital as well as Seagate, which manufacturers hard drives. They 86 00:04:54,720 --> 00:04:57,400 Speaker 4: don't see any pulling in deals. So the second half 87 00:04:57,400 --> 00:04:59,359 Speaker 4: of the year, which was a concern of mine, we 88 00:04:59,440 --> 00:05:02,760 Speaker 4: see actually smooth demand going into the second half, all. 89 00:05:02,680 --> 00:05:05,960 Speaker 3: Right, Thanks to u Jinho, Bloomberg Intelligence Senior Technology analyst. 90 00:05:06,120 --> 00:05:08,920 Speaker 3: You move next to news from the logistics company UPS. 91 00:05:09,240 --> 00:05:11,520 Speaker 2: This week, UPS said it expects to cut twenty thousand 92 00:05:11,600 --> 00:05:14,160 Speaker 2: jobs this year and close dozens of facilities due to 93 00:05:14,200 --> 00:05:17,360 Speaker 2: a reduction in shipments for Amazon dot Com. This isn't 94 00:05:17,360 --> 00:05:19,680 Speaker 2: an effort to cut expenses and improve profitability. 95 00:05:19,880 --> 00:05:23,880 Speaker 3: UPS also did an update it's fullier outlook, citing macroeconomic uncertainty, 96 00:05:24,040 --> 00:05:26,840 Speaker 3: and this comes despite the company reporting first quarter earnings 97 00:05:26,839 --> 00:05:28,120 Speaker 3: that beat analyst estimates. 98 00:05:28,240 --> 00:05:30,320 Speaker 2: For more on this and the state of the shipping industry, 99 00:05:30,440 --> 00:05:33,919 Speaker 2: we're joined by Lee Klascow, Bloomberg Intelligence Senior Transport, Logistics 100 00:05:33,920 --> 00:05:34,760 Speaker 2: and shipping analysts. 101 00:05:34,800 --> 00:05:36,640 Speaker 3: We first asked Lee to give us his take on 102 00:05:36,720 --> 00:05:37,880 Speaker 3: what we heard from UPS. 103 00:05:38,240 --> 00:05:39,800 Speaker 5: If I had to break it out, you know, I 104 00:05:39,800 --> 00:05:44,240 Speaker 5: would probably say ninety five percent of the I guess 105 00:05:44,240 --> 00:05:47,520 Speaker 5: somewhat disappointing two Q outlook is really being driven by 106 00:05:47,520 --> 00:05:51,200 Speaker 5: the macro and not UPS. I mean, UPS, in our 107 00:05:51,320 --> 00:05:55,720 Speaker 5: view is and has been doing the things to kind 108 00:05:55,760 --> 00:06:00,159 Speaker 5: of restructure its network to deal with the realities of 109 00:06:00,200 --> 00:06:03,400 Speaker 5: their business and how much it's changed over over the 110 00:06:03,480 --> 00:06:06,200 Speaker 5: last couple of years. And they're also focusing a lot 111 00:06:06,240 --> 00:06:09,200 Speaker 5: more on revenue quality, so that would mean trying to 112 00:06:09,320 --> 00:06:13,960 Speaker 5: win more share of small to mid size shippers. Also, 113 00:06:14,320 --> 00:06:17,800 Speaker 5: you know, you noted they're kind of gliding down, if 114 00:06:17,839 --> 00:06:21,440 Speaker 5: you will, their exposure to Amazon to some of their businesses, 115 00:06:21,880 --> 00:06:23,800 Speaker 5: that just doesn't make sense. I mean, they're still going 116 00:06:23,880 --> 00:06:28,400 Speaker 5: to do returns for Amazon, which is a good business 117 00:06:28,760 --> 00:06:32,000 Speaker 5: for UPS from a margin financial standpoint. 118 00:06:32,320 --> 00:06:35,800 Speaker 2: Hayley, what kind of visibility does UPS have on their 119 00:06:35,839 --> 00:06:38,200 Speaker 2: revenue stream? Like how much is contractive which just how 120 00:06:38,240 --> 00:06:40,640 Speaker 2: much is this me walking up the store and you know, 121 00:06:40,960 --> 00:06:42,440 Speaker 2: shipping a package across the country. 122 00:06:43,440 --> 00:06:46,760 Speaker 5: That's a great question, Paul. I think the reality is 123 00:06:46,800 --> 00:06:52,120 Speaker 5: that they have somewhat decent visibility into their business A 124 00:06:52,120 --> 00:06:55,159 Speaker 5: couple of weeks out. I think that's really about it. 125 00:06:56,279 --> 00:06:59,480 Speaker 5: That's just really because it's their their customers are really 126 00:06:59,560 --> 00:07:04,720 Speaker 5: driven by economic activity and it's really tough to kind 127 00:07:04,720 --> 00:07:08,480 Speaker 5: of really gauge that those volumes, especially in the current 128 00:07:08,560 --> 00:07:12,560 Speaker 5: environment giving the uncertainty driven by TARIS, which is you 129 00:07:12,560 --> 00:07:16,680 Speaker 5: know why earnings expectations for the second quarter will probably 130 00:07:16,720 --> 00:07:19,880 Speaker 5: start moving lower as sell sided analysts adjust their models. 131 00:07:20,200 --> 00:07:22,560 Speaker 3: The Amazon stuff is a good thing for them long term, right, 132 00:07:22,600 --> 00:07:24,600 Speaker 3: even though there's near term pain, Like those are lower 133 00:07:24,600 --> 00:07:26,960 Speaker 3: margin packages that they don't want to do anymore. They're 134 00:07:26,960 --> 00:07:31,080 Speaker 3: going to focus on higher margin packages that could wind 135 00:07:31,160 --> 00:07:34,200 Speaker 3: up being much more stable and profitable, right. 136 00:07:34,520 --> 00:07:37,160 Speaker 5: Yeah, to your point, they are really generating, they're really 137 00:07:37,200 --> 00:07:40,640 Speaker 5: focusing on revenue quality. You know, they mentioned on the 138 00:07:40,640 --> 00:07:44,320 Speaker 5: call that some of their business out of Amazon's fulfillment 139 00:07:44,400 --> 00:07:47,520 Speaker 5: centers just really wasn't profitable for them, so it obviously 140 00:07:47,600 --> 00:07:50,680 Speaker 5: doesn't make sense to take that business. And if they're 141 00:07:50,720 --> 00:07:53,520 Speaker 5: able to create capacity by getting rid of some of 142 00:07:53,560 --> 00:07:56,920 Speaker 5: this business and filling it with what they call SMB 143 00:07:57,000 --> 00:08:00,360 Speaker 5: small to mid sized businesses, you know, that's it's going 144 00:08:00,400 --> 00:08:03,040 Speaker 5: to be a good thing for US margins overall, and 145 00:08:03,040 --> 00:08:05,200 Speaker 5: it will allow them to generate the kind of returns 146 00:08:05,200 --> 00:08:08,240 Speaker 5: that they can reinvest in their network, because you know, 147 00:08:08,240 --> 00:08:10,680 Speaker 5: while they're doing a lot of investing in now in automation, 148 00:08:11,000 --> 00:08:15,679 Speaker 5: and they're closing some facilities just to be a little 149 00:08:15,680 --> 00:08:17,840 Speaker 5: more nimble than they were in the past. You know, 150 00:08:17,840 --> 00:08:20,080 Speaker 5: they're still going to continue to have to make those 151 00:08:20,120 --> 00:08:25,920 Speaker 5: investments because technology continues to change and those benefits, you know, 152 00:08:26,160 --> 00:08:28,800 Speaker 5: will need to be driven by those investments. 153 00:08:29,400 --> 00:08:29,560 Speaker 6: Lie. 154 00:08:29,640 --> 00:08:31,480 Speaker 2: A lot of companies are saying, you know, they're not 155 00:08:31,560 --> 00:08:34,240 Speaker 2: necessarily seeing the impacts of tariffs now, but they certainly 156 00:08:34,240 --> 00:08:38,520 Speaker 2: expect to in the coming weeks and months. You cover 157 00:08:38,960 --> 00:08:41,720 Speaker 2: everything in shipping, rails, trucks, the recen shippers, the air 158 00:08:41,760 --> 00:08:44,400 Speaker 2: freight guys. You cover it all. Are you seeing it now, 159 00:08:44,440 --> 00:08:47,880 Speaker 2: because I've actually seen some reporting that maybe fewer ships 160 00:08:47,880 --> 00:08:51,160 Speaker 2: are sailing from China to the US. Are you seeing 161 00:08:51,200 --> 00:08:52,680 Speaker 2: it anywhere in your space? 162 00:08:54,120 --> 00:08:57,640 Speaker 5: Yeah, we are. In to your point, Bookings from China 163 00:08:57,720 --> 00:09:01,080 Speaker 5: to the US are down thirty to forty depending on 164 00:09:01,240 --> 00:09:04,400 Speaker 5: which press reports you read. You know, some of that 165 00:09:04,640 --> 00:09:07,560 Speaker 5: is obviously there where they pull forward effect in our 166 00:09:07,640 --> 00:09:10,120 Speaker 5: view before the tariffs were going into place, so people 167 00:09:10,120 --> 00:09:12,800 Speaker 5: were rushing to get stuff out, So we don't know 168 00:09:12,840 --> 00:09:15,360 Speaker 5: really where that's going to lie. You know, shippers are 169 00:09:15,360 --> 00:09:18,559 Speaker 5: going to either they're going to take the stance where 170 00:09:18,600 --> 00:09:20,120 Speaker 5: they're going to be like they're going to sit back 171 00:09:20,160 --> 00:09:23,200 Speaker 5: and wait to see what happens. Some are continue to 172 00:09:23,240 --> 00:09:25,199 Speaker 5: do business as usual and they're just going to try 173 00:09:25,240 --> 00:09:30,160 Speaker 5: to push off the costs associated with tariffs to customers, 174 00:09:30,200 --> 00:09:34,040 Speaker 5: which obviously will be inflationary or mix of the two. 175 00:09:34,320 --> 00:09:37,160 Speaker 5: So really, you know, it'll be interesting to see how 176 00:09:37,200 --> 00:09:37,920 Speaker 5: things progress. 177 00:09:38,200 --> 00:09:41,280 Speaker 3: Yeah, but still, I mean you have to wonder though, 178 00:09:41,360 --> 00:09:44,720 Speaker 3: how fast then the shipping industry can rerate. Like if 179 00:09:44,760 --> 00:09:47,000 Speaker 3: there's like one ship hanging out the LA port all 180 00:09:47,000 --> 00:09:49,400 Speaker 3: of a sudden tariffs go away, what does that wind 181 00:09:49,440 --> 00:09:50,040 Speaker 3: up looking like? 182 00:09:50,960 --> 00:09:53,080 Speaker 5: Yeah, Shipping companies can do a number of things to 183 00:09:53,160 --> 00:09:57,120 Speaker 5: manage their capacity during ups and downs time. They can 184 00:09:57,400 --> 00:09:59,720 Speaker 5: do blank sailings, which really just means they don't they 185 00:09:59,760 --> 00:10:02,679 Speaker 5: don't go to a port, they skip a port. They 186 00:10:02,679 --> 00:10:06,280 Speaker 5: can operate slower, which actually is good because they could 187 00:10:06,320 --> 00:10:09,600 Speaker 5: save them on fuel. And in a worst case scenario, 188 00:10:09,679 --> 00:10:11,200 Speaker 5: they can just take the ships out of the water 189 00:10:11,720 --> 00:10:14,440 Speaker 5: because that that is that it can be costly. And 190 00:10:14,480 --> 00:10:16,040 Speaker 5: also you know a lot of a lot of them 191 00:10:16,080 --> 00:10:20,120 Speaker 5: they lease their capacity uh from other companies, so you know, 192 00:10:20,160 --> 00:10:23,760 Speaker 5: once those leases come up, they can just return the ship, uh. 193 00:10:23,840 --> 00:10:25,120 Speaker 5: To the owner of that ship. 194 00:10:26,480 --> 00:10:29,120 Speaker 2: Haley, I know you cover rail and truck companies that 195 00:10:29,160 --> 00:10:32,240 Speaker 2: do a lot of business across the Mexican border. What 196 00:10:32,280 --> 00:10:33,640 Speaker 2: do you what are you seeing there these days? What 197 00:10:33,720 --> 00:10:37,560 Speaker 2: are they telling you? Again? 198 00:10:37,720 --> 00:10:41,920 Speaker 5: You know it, there's a lot of uncertainty. Uh they 199 00:10:42,040 --> 00:10:44,720 Speaker 5: saw a kind of a surge and demand ahead of 200 00:10:44,800 --> 00:10:48,640 Speaker 5: the tariffs. You know, there is a lot of exemptions 201 00:10:48,640 --> 00:10:52,880 Speaker 5: in tariffs between the US and Mexico and the US 202 00:10:52,920 --> 00:10:56,120 Speaker 5: and Canada. Uh So, you know, they are not as 203 00:10:56,160 --> 00:10:59,680 Speaker 5: punitive as they are with with China. Uh So, you 204 00:10:59,679 --> 00:11:03,240 Speaker 5: know it that might be more of an inflationary aspect 205 00:11:03,400 --> 00:11:07,560 Speaker 5: versus a stopping of flowing of freight. But the problem 206 00:11:07,679 --> 00:11:11,520 Speaker 5: is is that, you know, if some of the supply 207 00:11:11,640 --> 00:11:14,520 Speaker 5: chains get mucked up from the tariffs on China, that 208 00:11:14,559 --> 00:11:18,440 Speaker 5: could impact manufacturing in Mexico and manufacturing in Canada, which 209 00:11:18,480 --> 00:11:22,480 Speaker 5: we'll therefore you know, impact cross border volumes overall. So 210 00:11:22,960 --> 00:11:26,480 Speaker 5: there's a you know, kind of a latency approach here. 211 00:11:27,040 --> 00:11:28,839 Speaker 5: I know that's not what people want to hear. They 212 00:11:28,840 --> 00:11:34,480 Speaker 5: want certainty. But given the more protectionist policies out of Washington, 213 00:11:35,360 --> 00:11:37,600 Speaker 5: and you know how they can change on a dime, 214 00:11:38,200 --> 00:11:40,360 Speaker 5: it's really hard to get that certainty, so hopefully in 215 00:11:40,400 --> 00:11:45,520 Speaker 5: the coming weeks we'll get some better definitive outlook on 216 00:11:45,640 --> 00:11:47,840 Speaker 5: unworthyse tariffs are heading our thanks to. 217 00:11:47,880 --> 00:11:51,640 Speaker 2: Lead classical Bloomberg Intelligence senior transport, logistics and shipping analysts. 218 00:11:51,679 --> 00:11:53,840 Speaker 3: Coming up, we're going to break down how cruise demand 219 00:11:53,920 --> 00:11:55,840 Speaker 3: has been impacted in twenty twenty five. 220 00:11:56,120 --> 00:11:58,960 Speaker 2: You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in 221 00:11:59,000 --> 00:12:01,200 Speaker 2: depth research and data on two thousand companies in one 222 00:12:01,280 --> 00:12:04,280 Speaker 2: hundred and thirty industries. You can access Bloomberg Intelligence via 223 00:12:04,320 --> 00:12:05,240 Speaker 2: Big in the terminal. 224 00:12:05,280 --> 00:12:08,040 Speaker 3: I'm Paul Sweeten and a Malex Steel and this is Bloomberg. 225 00:12:12,960 --> 00:12:16,679 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 226 00:12:16,760 --> 00:12:19,840 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 227 00:12:19,880 --> 00:12:23,160 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 228 00:12:23,240 --> 00:12:26,760 Speaker 1: you get your podcasts, or watch us live on YouTube. 229 00:12:27,160 --> 00:12:29,760 Speaker 3: We move next to some new research from Bloomberg Intelligence 230 00:12:29,760 --> 00:12:33,280 Speaker 3: about it's bi Tariffs Matrix. It's a worst case scenario 231 00:12:33,320 --> 00:12:37,160 Speaker 3: tariff analysis tool. It helps identify companies exposure to US tariffs, 232 00:12:37,160 --> 00:12:40,160 Speaker 3: the potential impact on EBADAH and how much prices have 233 00:12:40,200 --> 00:12:43,120 Speaker 3: to rise to offset elevated costs for more. 234 00:12:43,160 --> 00:12:45,720 Speaker 2: We were joined by Punham Goyle, senior US e Commerce 235 00:12:45,720 --> 00:12:48,640 Speaker 2: and retail analysts at Bloomberg Intelligence, and Elliot Stein, Bloomberg 236 00:12:48,640 --> 00:12:50,400 Speaker 2: Intelligence litigation analysts. 237 00:12:50,440 --> 00:12:53,960 Speaker 3: We first asked Elliott how the BI tariff matrix works. 238 00:12:54,400 --> 00:12:57,720 Speaker 7: So the BI Terriffs Matrix available on the Bloomberg terminal 239 00:12:57,800 --> 00:13:02,920 Speaker 7: at bispace Tariffs Go and like you said, BI analysts 240 00:13:02,960 --> 00:13:06,319 Speaker 7: for weeks have been putting numbers on what tariffs mean 241 00:13:06,640 --> 00:13:09,520 Speaker 7: for their companies and this is all distilled in the 242 00:13:09,520 --> 00:13:12,520 Speaker 7: BI Tariffs Matrix. You go to the matrix, it lists 243 00:13:12,559 --> 00:13:15,520 Speaker 7: two hundred companies and we're continuing to add more companies 244 00:13:15,880 --> 00:13:18,559 Speaker 7: across twenty different industries, and it shows you what their 245 00:13:18,600 --> 00:13:21,520 Speaker 7: blended teriff rate would be based on their exposure to 246 00:13:21,559 --> 00:13:24,680 Speaker 7: different countries where they're getting goods for their sales in 247 00:13:24,720 --> 00:13:27,720 Speaker 7: the US and what the tariff rates are on those countries. 248 00:13:27,960 --> 00:13:31,199 Speaker 7: And then from there, our analysts have calculated how much 249 00:13:31,240 --> 00:13:34,080 Speaker 7: the cost of goods will increase for all these companies' 250 00:13:34,240 --> 00:13:36,880 Speaker 7: sales into the US, how much their profit will take 251 00:13:36,920 --> 00:13:39,120 Speaker 7: a hit as a result, and how much they would 252 00:13:39,120 --> 00:13:42,079 Speaker 7: have to increase prices both in the US and globally. 253 00:13:42,400 --> 00:13:44,720 Speaker 7: To offset the impact of the tariffs. 254 00:13:45,000 --> 00:13:48,440 Speaker 3: That's amazing, that's incredible. Honestly, this is why Bloomberg Intelligence 255 00:13:48,520 --> 00:13:50,439 Speaker 3: is so awesome. And we'll get to retail with punamindus 256 00:13:50,440 --> 00:13:52,960 Speaker 3: a second. But Elliott, when we're putting this together, from 257 00:13:53,000 --> 00:13:55,120 Speaker 3: all the different sectors, what stood out to you? What 258 00:13:55,360 --> 00:13:56,320 Speaker 3: did you learn the most? 259 00:13:57,000 --> 00:13:59,280 Speaker 7: So you know, it's really interesting. So we also published 260 00:13:59,280 --> 00:14:02,080 Speaker 7: a note on this end. In that note there's a 261 00:14:02,160 --> 00:14:06,000 Speaker 7: piece from Honor Agrana and the tech team, And you know, 262 00:14:06,280 --> 00:14:08,960 Speaker 7: I like to filter by the blended teriff rate and 263 00:14:09,000 --> 00:14:12,160 Speaker 7: see which companies are paying more teriffs as a result. 264 00:14:12,200 --> 00:14:13,880 Speaker 7: And if you look at Apple, because they have such 265 00:14:13,960 --> 00:14:17,360 Speaker 7: a high exposure to China, their blended terifrate is still 266 00:14:17,360 --> 00:14:20,480 Speaker 7: twenty percent. But the company, like Dell, has a much 267 00:14:20,520 --> 00:14:24,800 Speaker 7: more diversified supply chain and so they're blended terrafrate is 268 00:14:24,880 --> 00:14:27,200 Speaker 7: much lower, roughly, I think maybe four or eight percent 269 00:14:27,240 --> 00:14:29,840 Speaker 7: of the exact number. And so as a result, the 270 00:14:30,040 --> 00:14:32,320 Speaker 7: you know, the amount that both these companies would have 271 00:14:32,320 --> 00:14:35,760 Speaker 7: to increase their prices to offset tariffs varies quite dramatically, 272 00:14:36,160 --> 00:14:38,800 Speaker 7: with Apple being close to nine percent and Dell being 273 00:14:38,800 --> 00:14:39,680 Speaker 7: close to two percent. 274 00:14:40,000 --> 00:14:42,160 Speaker 2: So pun them on the retail side of the business. 275 00:14:42,160 --> 00:14:44,160 Speaker 2: How much more do you think consumers are going to 276 00:14:44,240 --> 00:14:46,960 Speaker 2: have to pay at the store for stuff? 277 00:14:48,040 --> 00:14:52,320 Speaker 8: Sophy assume that the entire cost has passed to the consumer. 278 00:14:52,440 --> 00:14:56,080 Speaker 8: On average, across the thirty nine retailers we analyzed here 279 00:14:56,120 --> 00:14:59,520 Speaker 8: in the US, it's a low double digit increase. That said, 280 00:15:00,040 --> 00:15:02,360 Speaker 8: we do expect some mitigation efforts to take place, so 281 00:15:02,400 --> 00:15:05,720 Speaker 8: we do expect that to moderate to probably mid to 282 00:15:05,800 --> 00:15:10,920 Speaker 8: high single digits. Worst case scenario that sounds bad is 283 00:15:10,920 --> 00:15:14,520 Speaker 8: that bad? I mean, price increases are bad, right because 284 00:15:14,560 --> 00:15:17,440 Speaker 8: they influence demand, and that means that consumers could pull 285 00:15:17,520 --> 00:15:20,320 Speaker 8: back and where and how they choose to spend. So 286 00:15:20,840 --> 00:15:23,760 Speaker 8: ideally we would like to see no price increases, low 287 00:15:23,800 --> 00:15:26,480 Speaker 8: single digit at best, which we think is manageable. But 288 00:15:26,560 --> 00:15:30,200 Speaker 8: if it's beyond that, there could be a pullback in demand, 289 00:15:30,280 --> 00:15:33,080 Speaker 8: especially for discretionary items, right, things that you can kind 290 00:15:33,120 --> 00:15:36,080 Speaker 8: of hold off on, you can trade down for. So 291 00:15:36,280 --> 00:15:40,680 Speaker 8: it is negative if things worsen and if China attentions 292 00:15:40,760 --> 00:15:42,840 Speaker 8: don't come down from here? 293 00:15:43,440 --> 00:15:46,720 Speaker 2: Are there certain product lines or certain categories put them 294 00:15:46,720 --> 00:15:48,120 Speaker 2: that are more risk? I just think, you know, I'd 295 00:15:48,120 --> 00:15:50,880 Speaker 2: remember seeing a story on sneakers and it seems like 296 00:15:50,880 --> 00:15:54,480 Speaker 2: all the sneakers come from China in that point. 297 00:15:54,400 --> 00:15:57,040 Speaker 8: Well, they actually come mostly from Vietnam. So as long 298 00:15:57,080 --> 00:16:00,240 Speaker 8: as the Vietnam teriff rates stay at ten percent, which 299 00:16:00,280 --> 00:16:02,960 Speaker 8: we'll know in early July if that's the case or not, 300 00:16:03,600 --> 00:16:06,960 Speaker 8: I think that headwind is largely manageable. In fact, you know, 301 00:16:06,960 --> 00:16:10,320 Speaker 8: for the at leisure companies like Nike Adidas, we've estimated 302 00:16:10,320 --> 00:16:12,880 Speaker 8: that the tiff frate currently should only be around ten percent, 303 00:16:13,320 --> 00:16:15,520 Speaker 8: and that's because that's the current levee on the other 304 00:16:15,560 --> 00:16:19,760 Speaker 8: countries outside of China. These companies have diversified a lot 305 00:16:20,120 --> 00:16:23,240 Speaker 8: since the last round of tariffs, where they've actually moved 306 00:16:23,280 --> 00:16:26,440 Speaker 8: out of China into the neighboring countries, and as long 307 00:16:26,440 --> 00:16:29,000 Speaker 8: as the tariff is low there, we think it's manageable. 308 00:16:29,600 --> 00:16:33,400 Speaker 8: If tariffs do increase in early July from the ten percent, 309 00:16:33,720 --> 00:16:36,640 Speaker 8: it's a bigger risk to these at leisure companies. Paul, 310 00:16:36,640 --> 00:16:39,480 Speaker 8: you know you asked about where the impact is greater. 311 00:16:39,600 --> 00:16:42,080 Speaker 8: Is across the thirty nine companies that we've analyzed. I 312 00:16:42,120 --> 00:16:43,680 Speaker 8: think you have to look at the toymakers. You have 313 00:16:43,720 --> 00:16:45,960 Speaker 8: to look at the dollar stores and even some of 314 00:16:46,000 --> 00:16:49,560 Speaker 8: the specialty apparel stores where they are more heavily exposed 315 00:16:49,640 --> 00:16:53,160 Speaker 8: to China, in some cases largely exposed to China, and 316 00:16:53,280 --> 00:16:56,440 Speaker 8: they're the tariff rate is greater than fifty percent and 317 00:16:56,520 --> 00:16:59,640 Speaker 8: the exposure is much higher, so a much bigger impact. 318 00:17:00,080 --> 00:17:02,120 Speaker 3: You search by us price hike and do you know 319 00:17:02,320 --> 00:17:06,000 Speaker 3: a top down like Mattel thirty one percent estimated price 320 00:17:06,080 --> 00:17:10,879 Speaker 3: increase five below thirty nine percent? Dollar Tree twenty seven percent. 321 00:17:11,000 --> 00:17:12,679 Speaker 2: I don't think those people are gonna like, I mean, 322 00:17:12,720 --> 00:17:13,520 Speaker 2: that's we've shop. 323 00:17:13,359 --> 00:17:16,679 Speaker 3: At dollar That's really rough. I mean I could do 324 00:17:16,680 --> 00:17:20,159 Speaker 3: this forever. H and m twenty percent Target? Where'd you 325 00:17:20,200 --> 00:17:23,520 Speaker 3: go Target looking at twenty percent? Elliott? Are we going 326 00:17:23,560 --> 00:17:26,520 Speaker 3: to see lawsuits legal issues in relation to. 327 00:17:26,480 --> 00:17:28,280 Speaker 7: This, Yeah, we already are, and just going back to 328 00:17:28,320 --> 00:17:32,000 Speaker 7: the matrix for six so we didn't mention it. But 329 00:17:33,000 --> 00:17:36,160 Speaker 7: you can click below the matrix and to the left 330 00:17:36,160 --> 00:17:39,119 Speaker 7: of the matrix as well, because there are interactive catulators 331 00:17:39,560 --> 00:17:41,800 Speaker 7: for all these companies where you can play around with 332 00:17:41,880 --> 00:17:44,360 Speaker 7: some of the different assumptions, put in your own numbers, 333 00:17:44,640 --> 00:17:46,800 Speaker 7: and you know, and get the output as a result. 334 00:17:47,440 --> 00:17:50,480 Speaker 7: But in terms of lawsuits, yeah, we've seen multiple lawsuits 335 00:17:50,520 --> 00:17:53,800 Speaker 7: being filed. My colleague Holly Film covers them, but I've 336 00:17:53,800 --> 00:17:57,200 Speaker 7: been tracking them as well because they're interesting. We've seen 337 00:17:57,200 --> 00:18:00,600 Speaker 7: companies from lawsuits from importers as well as Blue states 338 00:18:00,640 --> 00:18:04,520 Speaker 7: like California and Oregon. They're filed in courts all around 339 00:18:04,520 --> 00:18:06,879 Speaker 7: the country, but they're probably all on their way to 340 00:18:06,880 --> 00:18:09,520 Speaker 7: being consolidated to a court here in New York called 341 00:18:09,520 --> 00:18:13,040 Speaker 7: the Court of International Trade, which deals with lawsuits over tariffs. 342 00:18:14,160 --> 00:18:17,920 Speaker 7: And there are two main claims in these cases. One 343 00:18:18,080 --> 00:18:21,640 Speaker 7: is that the government is exceeding its statutory authority under AEPA, 344 00:18:21,880 --> 00:18:24,520 Speaker 7: which is the statute it's using the Emergency Powers Act. 345 00:18:25,880 --> 00:18:27,560 Speaker 7: And then the second one is that even if it 346 00:18:27,560 --> 00:18:30,360 Speaker 7: does have the power under IEPA to implement these tariffs, 347 00:18:30,359 --> 00:18:38,120 Speaker 7: Congress delegated its authority to the president improperly. These are 348 00:18:38,240 --> 00:18:40,720 Speaker 7: issues of like first impression. You know, we've never seen 349 00:18:40,760 --> 00:18:42,920 Speaker 7: a president use IEPA for tariffs before, and at the 350 00:18:43,000 --> 00:18:44,320 Speaker 7: end of the day, we think it's a close call, 351 00:18:44,359 --> 00:18:47,399 Speaker 7: but we think the administration will win these lawsuits and 352 00:18:47,440 --> 00:18:48,399 Speaker 7: the tariffs will stick. 353 00:18:48,800 --> 00:18:51,920 Speaker 2: Our thanks to Elliot Stein Bloomberg Intelligence litigation analysts and 354 00:18:52,000 --> 00:18:54,639 Speaker 2: put them Goyle, Senior US e Commerce and retail analysts 355 00:18:54,640 --> 00:18:56,879 Speaker 2: at Bloomberg Intelligence. This week we got a tale of 356 00:18:56,880 --> 00:19:00,000 Speaker 2: two different earnings pictures from the Royal Caribbean and Norwegian Cruise. 357 00:19:00,600 --> 00:19:02,840 Speaker 3: Royal Caribbean raise its profit outlook for the year, saying 358 00:19:02,840 --> 00:19:04,920 Speaker 3: that bookings for twenty twenty five or man on track 359 00:19:05,160 --> 00:19:07,720 Speaker 3: Norwegian Cruise Line more than the cruise demand is weakening, 360 00:19:07,800 --> 00:19:10,400 Speaker 3: citing softening in his twelve month forward bookings. 361 00:19:10,640 --> 00:19:12,240 Speaker 2: For more on this and a State of Travel, we 362 00:19:12,240 --> 00:19:15,160 Speaker 2: were joined by Jody Lourie, Bloomberg Intelligence credit analyst. 363 00:19:15,359 --> 00:19:17,440 Speaker 3: We first asked Jody for her broad take on Royal 364 00:19:17,480 --> 00:19:19,560 Speaker 3: Caribbean versus Norwegian Cruise Line earnings. 365 00:19:20,080 --> 00:19:24,199 Speaker 9: I think that the interesting thing that we're noticing this 366 00:19:24,280 --> 00:19:28,360 Speaker 9: quarter is the change in tone, and it's not necessarily 367 00:19:28,520 --> 00:19:32,879 Speaker 9: that the companies are so pessimistic. It's that they're hedging 368 00:19:32,880 --> 00:19:35,960 Speaker 9: their bets a little bit. They're reminding investors that they 369 00:19:35,960 --> 00:19:38,680 Speaker 9: have a longer tail when it comes to bookings. The 370 00:19:38,800 --> 00:19:43,000 Speaker 9: reminding investors that even if the consumer starts pulling back 371 00:19:43,040 --> 00:19:46,640 Speaker 9: on travel, which Hilton commented on some of that, that 372 00:19:46,840 --> 00:19:50,040 Speaker 9: they are at least well positioned for twenty five. And 373 00:19:50,119 --> 00:19:53,920 Speaker 9: so Norwegian was trying to back out of comments around 374 00:19:55,040 --> 00:19:57,880 Speaker 9: Europe being a little bit weaker by saying Hey, rest 375 00:19:57,880 --> 00:20:03,200 Speaker 9: of the world is doing well. Fribbean was sounding upbeat, optimistic, 376 00:20:03,280 --> 00:20:05,760 Speaker 9: but I do suspect that there's an element of concern 377 00:20:05,840 --> 00:20:07,040 Speaker 9: for all these companies. 378 00:20:07,800 --> 00:20:10,920 Speaker 2: So what's the best way for you as an analyst, 379 00:20:11,000 --> 00:20:14,280 Speaker 2: Jo did to get a sense of how demand is 380 00:20:14,359 --> 00:20:16,560 Speaker 2: going in the future. I know some of these bookings, 381 00:20:16,560 --> 00:20:19,480 Speaker 2: as you mentioned, are far in advance, but how do 382 00:20:19,480 --> 00:20:20,400 Speaker 2: you guys think about that? 383 00:20:21,680 --> 00:20:24,280 Speaker 9: So there's two things we do, Paul. So the first 384 00:20:24,560 --> 00:20:27,879 Speaker 9: is we actually do a note every quarter or so 385 00:20:28,400 --> 00:20:33,040 Speaker 9: around bookings related to Bloomberg Second Measure data. And by 386 00:20:33,080 --> 00:20:35,920 Speaker 9: that I mean is that Bloomberg Second Measure data isn't 387 00:20:35,960 --> 00:20:38,960 Speaker 9: necessarily one for one on bookings, but you'll see that, 388 00:20:39,119 --> 00:20:42,320 Speaker 9: particularly going into wave season, that you can get a 389 00:20:42,400 --> 00:20:46,240 Speaker 9: sense of what bookings are doing based on what sales 390 00:20:46,359 --> 00:20:50,000 Speaker 9: is and volume is for these companies. We have intel 391 00:20:50,119 --> 00:20:53,160 Speaker 9: into a little bit more into the brand depth being 392 00:20:53,359 --> 00:20:56,080 Speaker 9: at Bloomberg, but beyond that, I mean, clients can look 393 00:20:56,119 --> 00:20:57,720 Speaker 9: at a lot of that data as well, and it's 394 00:20:57,720 --> 00:21:00,840 Speaker 9: really helpful. I mean, we wrote a note back in 395 00:21:00,880 --> 00:21:03,360 Speaker 9: the fall that talked to twenty twenty five still being 396 00:21:03,359 --> 00:21:07,240 Speaker 9: strong for these companies, but aired a little bit of 397 00:21:07,280 --> 00:21:12,359 Speaker 9: caution to the twenty twenty sixth season and that being 398 00:21:12,400 --> 00:21:14,760 Speaker 9: a function of what we were seeing on second measure, do. 399 00:21:14,760 --> 00:21:17,600 Speaker 3: You get the sentence that if we see sort of 400 00:21:17,640 --> 00:21:20,400 Speaker 3: stalling out in consumer demand or just a little hold back, 401 00:21:20,440 --> 00:21:24,360 Speaker 3: but it's deferred demand or disappearing demand. 402 00:21:24,720 --> 00:21:27,040 Speaker 9: So for the cruise lines, I mean you have to 403 00:21:27,040 --> 00:21:29,280 Speaker 9: think about it in buckets. So you have those dedicated 404 00:21:29,280 --> 00:21:31,360 Speaker 9: cruisers that are going to cruise heck or high water. 405 00:21:31,520 --> 00:21:33,720 Speaker 9: Those are the people who are going to jump in 406 00:21:34,200 --> 00:21:36,600 Speaker 9: right after COVID. But I mean, I think for the 407 00:21:37,560 --> 00:21:40,040 Speaker 9: new to cruisers, it's more of a question of if 408 00:21:40,040 --> 00:21:43,440 Speaker 9: they're going to consider booking this far in advance if 409 00:21:43,440 --> 00:21:45,560 Speaker 9: they don't know what their wallet is going to look like. 410 00:21:46,119 --> 00:21:48,160 Speaker 9: There is a function of people being able to back 411 00:21:48,240 --> 00:21:51,199 Speaker 9: out coming into a cruise, But I'd argue that a 412 00:21:51,200 --> 00:21:53,000 Speaker 9: lot of the time when people are making that decision, 413 00:21:53,080 --> 00:21:55,199 Speaker 9: especially for an advance, they're not necessarily going to use 414 00:21:55,240 --> 00:21:58,199 Speaker 9: that as the lever to pull when they need to 415 00:21:58,359 --> 00:22:00,880 Speaker 9: free up additional cash, right, are going to find other 416 00:22:00,960 --> 00:22:05,480 Speaker 9: ways to access cash or capital. I'm talking individuals, I'm 417 00:22:05,480 --> 00:22:09,520 Speaker 9: talking to consumers, right, And so when we book our vacations, 418 00:22:09,560 --> 00:22:12,560 Speaker 9: we're saying okay, we're going Now, it's the bigger question. 419 00:22:12,560 --> 00:22:14,760 Speaker 9: And this is what we're seeing with the hotel is 420 00:22:16,000 --> 00:22:18,720 Speaker 9: for the people who haven't necessarily booked, they might be 421 00:22:18,800 --> 00:22:22,320 Speaker 9: rethinking when they're going to book what their vacation is 422 00:22:22,320 --> 00:22:24,160 Speaker 9: going to look like? When are they going to book 423 00:22:24,200 --> 00:22:24,919 Speaker 9: their airline? 424 00:22:25,520 --> 00:22:25,760 Speaker 2: Right? 425 00:22:25,840 --> 00:22:28,960 Speaker 9: And I think that's key is the fact that you 426 00:22:28,960 --> 00:22:31,600 Speaker 9: have this long tail booking versus the shorter tail booking. 427 00:22:32,240 --> 00:22:34,080 Speaker 2: So, Jody, if I'm a cruse ship operator and I 428 00:22:34,200 --> 00:22:36,080 Speaker 2: sense that my bookings are going to a week and 429 00:22:36,200 --> 00:22:38,720 Speaker 2: going forward, what do I do? I mean, because my 430 00:22:38,800 --> 00:22:41,720 Speaker 2: boat's like a foating piece of I don't know fixed 431 00:22:41,720 --> 00:22:42,720 Speaker 2: costs there? What can I do? 432 00:22:45,680 --> 00:22:50,000 Speaker 9: You can just get the ship filled as much as possible. 433 00:22:50,080 --> 00:22:50,280 Speaker 7: Right. 434 00:22:50,720 --> 00:22:54,000 Speaker 9: So, something we learned from covid in for a lot 435 00:22:54,040 --> 00:22:56,720 Speaker 9: of these companies is that really in order to be 436 00:22:56,760 --> 00:22:59,560 Speaker 9: break even EVEDA, they need somewhere between thirty to fifty 437 00:22:59,560 --> 00:23:03,359 Speaker 9: percent capacity for the cruising, right. And that's what a 438 00:23:03,359 --> 00:23:05,160 Speaker 9: lot of the companies said when they were getting back 439 00:23:05,240 --> 00:23:07,480 Speaker 9: up to speed, they said, you know, we need thirty 440 00:23:07,520 --> 00:23:10,439 Speaker 9: to fifty percent of capacity and then we break even EBDA. 441 00:23:11,040 --> 00:23:14,440 Speaker 9: And I think that the key also is that these 442 00:23:14,480 --> 00:23:16,880 Speaker 9: companies have really pushed the onboard spending. 443 00:23:17,000 --> 00:23:17,160 Speaker 5: Right. 444 00:23:17,440 --> 00:23:21,600 Speaker 9: The ticket covers, you know, ticket covers a certain amount 445 00:23:21,640 --> 00:23:24,720 Speaker 9: of the cost of sailing, but if they are going 446 00:23:24,760 --> 00:23:26,280 Speaker 9: to be sailing either way, they want to fill the 447 00:23:26,320 --> 00:23:29,040 Speaker 9: ship because if you fill the ship, then you have 448 00:23:29,119 --> 00:23:32,320 Speaker 9: more potential for additional spending on board. Even just from 449 00:23:32,359 --> 00:23:35,000 Speaker 9: the basics of I forgot a toothbrush, I got to 450 00:23:35,040 --> 00:23:37,680 Speaker 9: go use the corner store on the ship because it's 451 00:23:37,680 --> 00:23:42,280 Speaker 9: a captive market. But even beyond that, people once they're there, 452 00:23:42,440 --> 00:23:44,040 Speaker 9: they say, well, I'm already here, I med as well 453 00:23:44,080 --> 00:23:47,480 Speaker 9: partake in the drink package. I might as well do 454 00:23:47,560 --> 00:23:49,920 Speaker 9: an excursion, right, I don't know the next time I'm 455 00:23:49,960 --> 00:23:52,560 Speaker 9: going to be out, So I think the key will be, 456 00:23:53,000 --> 00:23:55,200 Speaker 9: you know, getting them on the ship. Something that Norwegian 457 00:23:55,240 --> 00:23:57,720 Speaker 9: talked about, which is different than the other cruise lines 458 00:23:58,040 --> 00:23:59,760 Speaker 9: and speaks to some of the strategies that they did 459 00:23:59,800 --> 00:24:02,840 Speaker 9: put with COVID is not necessarily negotiating our price. 460 00:24:03,280 --> 00:24:05,679 Speaker 2: Thanks to Jerdi Lourie Bloomberg Intelligence credit. 461 00:24:05,359 --> 00:24:07,360 Speaker 3: Analysts coming up on the program, We're going to break 462 00:24:07,400 --> 00:24:09,600 Speaker 3: down by McDonald sales fell sharply last quarter. 463 00:24:09,720 --> 00:24:12,600 Speaker 2: You're listening to Bloomberg Intelligence on Bloomberg Radio, providing indepth 464 00:24:12,640 --> 00:24:14,960 Speaker 2: research and data on two thousand companies and one hundred 465 00:24:14,960 --> 00:24:17,840 Speaker 2: and thirty industries. You can access Bloomberg Intelligence via Big 466 00:24:17,960 --> 00:24:18,520 Speaker 2: on the terminal. 467 00:24:18,560 --> 00:24:21,440 Speaker 3: I'm Paul Sweeney and I'm Alex Steele. This is Bloomberg. 468 00:24:27,600 --> 00:24:31,480 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch the program 469 00:24:31,560 --> 00:24:34,600 Speaker 1: live weekdays at ten am Eastern on Apple Corplay and 470 00:24:34,600 --> 00:24:37,600 Speaker 1: Android Auto with the Bloomberg Business app. You can also 471 00:24:37,720 --> 00:24:41,359 Speaker 1: listen live on Amazon Alexa from our flagship New York station. 472 00:24:41,920 --> 00:24:44,560 Speaker 1: Just say Alexa Play Bloomberg eleven thirty. 473 00:24:45,040 --> 00:24:47,399 Speaker 2: We begin with big Tech and earnings from the world's 474 00:24:47,520 --> 00:24:49,200 Speaker 2: largest software maker Microsoft. 475 00:24:49,280 --> 00:24:52,080 Speaker 3: This week, the company reported stronger than expected quarterly sales 476 00:24:52,080 --> 00:24:54,679 Speaker 3: and profit, and this suggests the customer demand for cloud 477 00:24:54,720 --> 00:24:57,760 Speaker 3: services has held steady despite a wave of new tariffs 478 00:24:57,800 --> 00:24:58,960 Speaker 3: and economic turbulence. 479 00:24:59,240 --> 00:25:03,000 Speaker 2: For more and by anaag Rana, Bloomberg Intelligence Technology Analysts. 480 00:25:03,000 --> 00:25:05,160 Speaker 3: We first asked Anorog for his take on those third 481 00:25:05,200 --> 00:25:05,920 Speaker 3: quarter results. 482 00:25:06,480 --> 00:25:09,280 Speaker 6: I think it's a cloud plus AI. I think that's 483 00:25:09,320 --> 00:25:12,520 Speaker 6: the that's the big gain over here. And as you said, 484 00:25:12,560 --> 00:25:14,720 Speaker 6: I mean this is a company that is probably one 485 00:25:14,760 --> 00:25:17,520 Speaker 6: third of the entire software industry, and it beat by 486 00:25:17,520 --> 00:25:20,880 Speaker 6: a massive margin. I mean it was, I mean really 487 00:25:21,520 --> 00:25:23,640 Speaker 6: in terms of when you're walking into the quarter, you're 488 00:25:23,640 --> 00:25:26,840 Speaker 6: looking at, you know, constant gulency growth rate of twelve percent, 489 00:25:27,240 --> 00:25:30,639 Speaker 6: they beat it by three hundred basis points about fifteen percent. 490 00:25:30,680 --> 00:25:34,640 Speaker 6: Growing as your growth rate which was thirty one percent consensus, 491 00:25:34,840 --> 00:25:36,800 Speaker 6: they beat by thirty five percent. They're going to do 492 00:25:36,840 --> 00:25:39,800 Speaker 6: another thirty four to thirty five next quartered. So really, 493 00:25:39,880 --> 00:25:42,880 Speaker 6: you know, everything is going well for them, and that's 494 00:25:43,040 --> 00:25:46,200 Speaker 6: partially because of their relationship with Open Eye and all 495 00:25:46,240 --> 00:25:48,480 Speaker 6: the workloads that they are getting from that. I think 496 00:25:48,520 --> 00:25:50,840 Speaker 6: that's really what's driving a lot of it. They came 497 00:25:50,880 --> 00:25:53,320 Speaker 6: in talked about the caapics still fine. They're not shutting 498 00:25:53,320 --> 00:25:56,520 Speaker 6: any data centers down, and I think this is probably 499 00:25:56,560 --> 00:25:58,359 Speaker 6: the cleanest story in tech right now. 500 00:25:58,600 --> 00:26:00,959 Speaker 2: Is there a narrative yet coming from the software industry 501 00:26:01,040 --> 00:26:03,960 Speaker 2: about a world of higher tariffs on a rag or 502 00:26:04,200 --> 00:26:07,520 Speaker 2: or are the software companies, like most everybody else out there, 503 00:26:08,080 --> 00:26:09,040 Speaker 2: kind of wait and see. 504 00:26:10,200 --> 00:26:13,440 Speaker 6: No, you are looking at you know, the non AIIT 505 00:26:13,600 --> 00:26:16,240 Speaker 6: spending being cut down or pulled back. But that's the 506 00:26:16,240 --> 00:26:19,560 Speaker 6: second derivative impact. When it comes to direct impact from China. 507 00:26:19,600 --> 00:26:21,600 Speaker 6: Most of them don't have any about other than buying 508 00:26:21,640 --> 00:26:25,520 Speaker 6: boxes from China for you know, expanding their data center work. 509 00:26:25,760 --> 00:26:28,480 Speaker 6: But that's the kind of cost that perhaps even sometimes 510 00:26:28,480 --> 00:26:31,199 Speaker 6: even absorb given the scale of the larger companies. The 511 00:26:31,240 --> 00:26:34,600 Speaker 6: smaller ones will have some problems. But the tariff impact 512 00:26:34,640 --> 00:26:38,040 Speaker 6: we are seeing in new bookings numbers, new guidance for 513 00:26:38,080 --> 00:26:40,640 Speaker 6: the full year. People are cautious about it. But that's 514 00:26:40,720 --> 00:26:43,440 Speaker 6: what I would call is a second second degree impact. 515 00:26:43,760 --> 00:26:46,879 Speaker 3: What did you make of Microsoft lowering their capax just 516 00:26:46,920 --> 00:26:50,520 Speaker 3: in terms of their expenditures and then Meta increasing them? 517 00:26:50,840 --> 00:26:53,240 Speaker 3: What am I learning from their CAPAX numbers? 518 00:26:53,640 --> 00:26:56,440 Speaker 6: So Microsoft did not pay I mean Microsoft basically said 519 00:26:56,440 --> 00:26:59,040 Speaker 6: they're going to be spending on short term kind of projects, 520 00:26:59,080 --> 00:27:02,600 Speaker 6: which is more leases, rather than building it on their own, 521 00:27:02,800 --> 00:27:05,399 Speaker 6: which to us is fine because let's say there is 522 00:27:05,480 --> 00:27:07,919 Speaker 6: some issue with demand over the next two years, you 523 00:27:07,920 --> 00:27:10,200 Speaker 6: know they can counter that in a much more rapid 524 00:27:10,520 --> 00:27:13,920 Speaker 6: progression than the others. Now Meta is talking about more CAPEX, 525 00:27:13,960 --> 00:27:15,879 Speaker 6: but I have no idea how they're going to capitalize 526 00:27:15,880 --> 00:27:17,680 Speaker 6: on it, and then you know that's that's an area 527 00:27:17,720 --> 00:27:20,600 Speaker 6: of question mark for them. For Microsoft, it comes through 528 00:27:20,680 --> 00:27:24,359 Speaker 6: Azure Cloud computing for AWUS, it's the same thing, but 529 00:27:24,640 --> 00:27:27,120 Speaker 6: how are they going to capitalize it? You know, he says, 530 00:27:27,160 --> 00:27:28,320 Speaker 6: a big question for Meta. 531 00:27:28,359 --> 00:27:31,920 Speaker 3: All right, Thanks to Anaagrana, Bloomberg Intelligence Senior Technology analyst, 532 00:27:32,400 --> 00:27:35,480 Speaker 3: we move now to earnings from the fast food giant McDonald's. 533 00:27:35,640 --> 00:27:39,160 Speaker 2: This week, McDonald's reported that it's US sales fell sharply 534 00:27:39,160 --> 00:27:40,200 Speaker 2: in the first quarter, and. 535 00:27:40,080 --> 00:27:43,000 Speaker 3: This reflects a deterioration and consumer sentiment that's making it 536 00:27:43,040 --> 00:27:45,320 Speaker 3: harder for restaurants to lure in diners. 537 00:27:45,600 --> 00:27:48,119 Speaker 2: For more, we were joined by Michael hallan Bloomberg Intelligence 538 00:27:48,119 --> 00:27:50,000 Speaker 2: senior restaurant and food service analysts. 539 00:27:50,080 --> 00:27:53,360 Speaker 3: We first asked Michael for his take on McDonald's earnings results. 540 00:27:53,480 --> 00:27:54,359 Speaker 6: In the US. 541 00:27:54,440 --> 00:27:57,320 Speaker 10: You know, it was a messy quarter. You know, it 542 00:27:57,359 --> 00:28:00,600 Speaker 10: was definitely an underwhelming report, but there was a lot 543 00:28:00,640 --> 00:28:03,080 Speaker 10: of noise. I mean, the weather was difficult for the 544 00:28:03,119 --> 00:28:06,520 Speaker 10: restaurant chains in the first quarter. It was very cold 545 00:28:06,520 --> 00:28:10,600 Speaker 10: in January, snowy in February. It was a bad flu season. 546 00:28:11,000 --> 00:28:14,520 Speaker 10: They lost that leap year day, so that was hit 547 00:28:14,640 --> 00:28:17,720 Speaker 10: comps by about one percent, right, So it was kind 548 00:28:17,760 --> 00:28:21,240 Speaker 10: of messy, and I would say the value menu relaunch 549 00:28:21,480 --> 00:28:24,520 Speaker 10: maybe didn't go as well as some might have expected. 550 00:28:24,680 --> 00:28:27,880 Speaker 10: There's some things to get excited about, you know. This 551 00:28:27,960 --> 00:28:31,920 Speaker 10: month it was the Minecraft movie promotion. Next month is 552 00:28:31,960 --> 00:28:35,479 Speaker 10: going to be the launch of mccrispy strips, and then 553 00:28:35,520 --> 00:28:38,520 Speaker 10: in the second half we're going to see the return 554 00:28:38,600 --> 00:28:42,840 Speaker 10: of the Msnack Mix snack Rap. Yeah, and you know, 555 00:28:43,080 --> 00:28:45,240 Speaker 10: I think investors are looking forward to all those things, 556 00:28:45,280 --> 00:28:48,520 Speaker 10: and easier comps and same star shells should improve a 557 00:28:48,520 --> 00:28:50,040 Speaker 10: good amount here through the year end. 558 00:28:50,440 --> 00:28:53,440 Speaker 2: All right, So Alex and we had a remote broadcast 559 00:28:53,440 --> 00:28:56,480 Speaker 2: a couple of weeks ago with the Nji Anything. I 560 00:28:56,560 --> 00:28:59,720 Speaker 2: went to the McDonald's at the Newark train station and 561 00:29:00,440 --> 00:29:02,040 Speaker 2: got the number two with a coke, which has been 562 00:29:02,040 --> 00:29:03,760 Speaker 2: my go to order since I was like twelve. 563 00:29:04,400 --> 00:29:05,640 Speaker 3: Awesome, awesome stuff. 564 00:29:05,720 --> 00:29:08,120 Speaker 2: Awesome. I mean, they just they deliver every time. I 565 00:29:08,160 --> 00:29:09,880 Speaker 2: don't know, I'm not taking it. I'm not anybody who 566 00:29:09,880 --> 00:29:12,959 Speaker 2: speak a bed word about McDonald's. Hey, Michael, what are 567 00:29:13,000 --> 00:29:17,040 Speaker 2: your restaurant companies. What are they saying about a world 568 00:29:17,040 --> 00:29:19,720 Speaker 2: of terriffs? How does it impact their business? How much 569 00:29:19,720 --> 00:29:23,000 Speaker 2: did they expect to take out of their margin versus 570 00:29:23,080 --> 00:29:26,000 Speaker 2: maybe passing along to customers. What were you hear in 571 00:29:26,000 --> 00:29:26,440 Speaker 2: these days. 572 00:29:27,000 --> 00:29:29,440 Speaker 10: Yeah, So what we're hearing on these earnings calls is 573 00:29:29,520 --> 00:29:31,800 Speaker 10: just uncertainty. And I think and most of our companies 574 00:29:31,800 --> 00:29:34,360 Speaker 10: are taking this as an opportunity to kind of lower 575 00:29:34,400 --> 00:29:38,560 Speaker 10: their guidance their same star sales top line guidance for 576 00:29:39,120 --> 00:29:42,240 Speaker 10: twenty twenty five. Here whether or not their business has 577 00:29:42,280 --> 00:29:47,640 Speaker 10: been impacted by a consumer slowdown due to TARERFF concerns 578 00:29:48,560 --> 00:29:51,719 Speaker 10: and anything like that. In terms of margins, we're fine. 579 00:29:51,960 --> 00:29:57,600 Speaker 10: I mean, you know, there's very limited exposure to imports 580 00:29:57,600 --> 00:30:01,520 Speaker 10: in the restaurant industry. Companies, you know, restaurant chains we cover, 581 00:30:01,600 --> 00:30:06,720 Speaker 10: they're all sourcing a large majority of their goods domestically, right, 582 00:30:06,720 --> 00:30:09,480 Speaker 10: and so margins aren't really an issue. I mean, Shakeshock 583 00:30:09,560 --> 00:30:13,640 Speaker 10: actually increased their guidance for twenty twenty five restaurant margins. 584 00:30:14,240 --> 00:30:19,200 Speaker 3: That's interesting. So would this be a relatively then defensive sector? 585 00:30:19,520 --> 00:30:21,360 Speaker 3: Dare I say in a tariff environment? 586 00:30:23,880 --> 00:30:26,320 Speaker 10: Well, I mean, right now, the market trading as if 587 00:30:26,440 --> 00:30:28,880 Speaker 10: you know, a recession is on the table, and in 588 00:30:28,920 --> 00:30:31,520 Speaker 10: that case, consumer spending is going to pull back. I 589 00:30:31,560 --> 00:30:37,360 Speaker 10: would say restaurants are probably better seated than maybe retailers, right, 590 00:30:37,400 --> 00:30:40,360 Speaker 10: because they have less tariff exposure. And the restaurant industry 591 00:30:40,400 --> 00:30:42,840 Speaker 10: suffered a recession last year, and so we have easier 592 00:30:42,840 --> 00:30:46,440 Speaker 10: comps to lap right, and so for those reasons, it 593 00:30:46,480 --> 00:30:48,920 Speaker 10: may be more attractive. But you know, if we do 594 00:30:48,960 --> 00:30:51,240 Speaker 10: see a recession, you don't want to be owning consumer 595 00:30:51,280 --> 00:30:52,920 Speaker 10: discretionary names historically. 596 00:30:53,880 --> 00:30:57,280 Speaker 2: So, Mike, I think I'm a pretty good restaurant feedback 597 00:30:57,280 --> 00:31:00,280 Speaker 2: person because I'll go to the McDonald's and Newark trains, 598 00:31:00,320 --> 00:31:02,080 Speaker 2: but I'll go to the top end steakhouse as well. 599 00:31:02,080 --> 00:31:06,240 Speaker 2: I'll go anywhere in between. Where did the different segments 600 00:31:06,240 --> 00:31:08,080 Speaker 2: of the restaurant business? How do you think they're they're 601 00:31:08,080 --> 00:31:10,800 Speaker 2: going to fare in an economy that is perhaps slowing 602 00:31:10,840 --> 00:31:12,840 Speaker 2: down and perhaps even thinking about a recession. 603 00:31:13,200 --> 00:31:17,200 Speaker 10: It's really interesting this go round. And you know, we've 604 00:31:17,240 --> 00:31:20,440 Speaker 10: been saying, and we continue to think that casual dining 605 00:31:20,600 --> 00:31:22,600 Speaker 10: is going to outperform this year. 606 00:31:22,720 --> 00:31:24,360 Speaker 2: What's an example of casual dining. 607 00:31:25,040 --> 00:31:29,960 Speaker 10: Yeah, so casual dining, think Cheesecake Factory reported a solid report. 608 00:31:30,240 --> 00:31:32,200 Speaker 10: A name we really like is Cracker. 609 00:31:31,880 --> 00:31:35,520 Speaker 3: Barrel speaking his language right now in company? 610 00:31:36,320 --> 00:31:39,840 Speaker 10: I know I am. So those chains they're coming off 611 00:31:39,880 --> 00:31:42,800 Speaker 10: of really really weak results last year, and you have 612 00:31:42,880 --> 00:31:47,479 Speaker 10: some turnarounds in the industry that are kind of boosting. 613 00:31:48,520 --> 00:31:49,040 Speaker 2: Results. 614 00:31:49,120 --> 00:31:49,280 Speaker 6: Right. 615 00:31:49,320 --> 00:31:54,320 Speaker 10: We've seen absolutely phenomenal results out of Chili's. You know, 616 00:31:54,360 --> 00:31:56,720 Speaker 10: we think the turnaround at Cracker Barrel is going to 617 00:31:56,760 --> 00:32:01,920 Speaker 10: gain steam. And they have exposure to low income consumers, 618 00:32:01,960 --> 00:32:05,120 Speaker 10: but much less so than quick service. So quick service 619 00:32:05,160 --> 00:32:09,760 Speaker 10: is lapping better comps from last year, tougher comps from 620 00:32:09,840 --> 00:32:12,360 Speaker 10: last year, and they also have the highest exposure to 621 00:32:12,440 --> 00:32:16,720 Speaker 10: low and middle income consumers. And you know, for that reason, 622 00:32:17,040 --> 00:32:19,360 Speaker 10: we're a little bit more bearish on those names. 623 00:32:19,520 --> 00:32:19,840 Speaker 5: M hm. 624 00:32:20,320 --> 00:32:22,480 Speaker 3: Well, yeah, exactly. Any of the qs are right, the 625 00:32:22,560 --> 00:32:25,520 Speaker 3: quick service restaurants which would be in McDonald's. Where did 626 00:32:25,720 --> 00:32:26,880 Speaker 3: Chipotle is a QSR? 627 00:32:27,000 --> 00:32:30,440 Speaker 10: Right, Well, it's a quick service they like, you know, 628 00:32:30,480 --> 00:32:32,680 Speaker 10: we have a whole new segment, well not that new, 629 00:32:32,720 --> 00:32:35,320 Speaker 10: but kind of new segment called fast casual. 630 00:32:35,840 --> 00:32:36,400 Speaker 9: Yes, that's right. 631 00:32:36,760 --> 00:32:39,640 Speaker 10: Price points a little higher than quick service, a little 632 00:32:39,640 --> 00:32:44,040 Speaker 10: bit lower than casual dining, the foods better than quick service, 633 00:32:44,040 --> 00:32:47,640 Speaker 10: and in some cases actually better than casual dining as well. 634 00:32:47,680 --> 00:32:52,560 Speaker 10: So yes, Chipotle, Shake Shack, Dutch Bros, Cava, they kind 635 00:32:52,560 --> 00:32:58,120 Speaker 10: of all all are in that boat, and we're seeing 636 00:32:58,200 --> 00:33:02,920 Speaker 10: different results, you know, across that space. I think it 637 00:33:03,000 --> 00:33:07,000 Speaker 10: was pretty you know, fast casual did pretty good last year, 638 00:33:07,120 --> 00:33:10,080 Speaker 10: but we're seeing some headwinds. You know, Chipotle didn't have 639 00:33:10,160 --> 00:33:12,880 Speaker 10: a great quarter. There's been a massive slowdown in same 640 00:33:12,920 --> 00:33:18,479 Speaker 10: source sales at Wingstop, and so, you know, yeah, but 641 00:33:18,640 --> 00:33:22,200 Speaker 10: uh so you're seeing you know, kind of a case 642 00:33:22,200 --> 00:33:24,880 Speaker 10: by case basis in terms of the fast casual industry our. 643 00:33:24,960 --> 00:33:27,760 Speaker 2: Thanks to Michael Halein Bloomberg Intelligence Senior Restaurant and food 644 00:33:27,760 --> 00:33:28,760 Speaker 2: service analyst, we. 645 00:33:28,760 --> 00:33:30,760 Speaker 3: Look next at earnings from one of the world's biggest 646 00:33:30,760 --> 00:33:32,760 Speaker 3: producers of heavy machinery, Caterpillar. 647 00:33:33,040 --> 00:33:35,640 Speaker 2: This week, the company reported first quarter earnings that fell 648 00:33:35,680 --> 00:33:37,240 Speaker 2: short of analysts expectations. 649 00:33:37,320 --> 00:33:40,280 Speaker 3: Caterpillar also said it expects slightly lower sales this year 650 00:33:40,280 --> 00:33:42,840 Speaker 3: if the Trump administration tariffs remained in place and the 651 00:33:42,880 --> 00:33:45,480 Speaker 3: economy dips into a recession the second half of the year. 652 00:33:45,880 --> 00:33:47,720 Speaker 2: For more on this, we were joined by Chris Ciolino, 653 00:33:47,760 --> 00:33:51,400 Speaker 2: Bloomberg Intelligence Senior US machinery analysts. We first asked Chris 654 00:33:51,400 --> 00:33:54,360 Speaker 2: how he currently is looking at the company after reporting earnings. 655 00:33:54,760 --> 00:33:57,600 Speaker 11: I think the release really isn't as bad as initially feared, 656 00:33:57,600 --> 00:34:00,880 Speaker 11: and there's actually a number of positive takeaways here. The 657 00:34:00,960 --> 00:34:03,360 Speaker 11: quarter was weak, and we knew that going in volumes 658 00:34:03,360 --> 00:34:05,400 Speaker 11: were going to be down, pricing was gonna be under pressure. 659 00:34:06,120 --> 00:34:08,399 Speaker 11: But the outlook is actually better than I think many 660 00:34:08,440 --> 00:34:12,080 Speaker 11: had anticipated. Their two Q sales guide was actually above 661 00:34:12,120 --> 00:34:15,400 Speaker 11: the street. We saw backlog improved to a record thirty 662 00:34:15,400 --> 00:34:18,759 Speaker 11: five billion dollars. Orders were up double digits both year 663 00:34:18,800 --> 00:34:21,440 Speaker 11: over year and sequentially. And really, if you look at 664 00:34:21,480 --> 00:34:24,040 Speaker 11: their outlook X tariffs, it was really better than what 665 00:34:24,040 --> 00:34:28,399 Speaker 11: they had expected prior so, and the tariff impact as 666 00:34:28,400 --> 00:34:31,040 Speaker 11: of now at least appears manageable. So I think the release, 667 00:34:31,120 --> 00:34:33,160 Speaker 11: you know, should at least help delay some of those 668 00:34:33,160 --> 00:34:35,799 Speaker 11: concerns over a more pronounced slowdown this year. 669 00:34:36,640 --> 00:34:41,239 Speaker 2: Christa's Kindipillar build their equipment in the US. Is that 670 00:34:41,239 --> 00:34:43,000 Speaker 2: where the manufacturing is? How did they do that? 671 00:34:43,680 --> 00:34:48,160 Speaker 11: Short answer, they build everywhere. They are a net exporter 672 00:34:48,239 --> 00:34:50,160 Speaker 11: out of the US. But you have to remember this 673 00:34:50,280 --> 00:34:54,759 Speaker 11: is a large global manufacturer. They have manufacturing footprint and 674 00:34:54,760 --> 00:34:57,960 Speaker 11: and supply base that really spans the globe. But if 675 00:34:57,960 --> 00:35:01,120 Speaker 11: we're thinking about net exports, yes, they export more out 676 00:35:01,120 --> 00:35:04,799 Speaker 11: of the US than they do import. From a revenue perspective, 677 00:35:04,920 --> 00:35:07,000 Speaker 11: you know, the US is you know, almost half their 678 00:35:07,000 --> 00:35:07,880 Speaker 11: revenue today. 679 00:35:08,600 --> 00:35:10,520 Speaker 3: What about for its peers. What does this mean for 680 00:35:10,560 --> 00:35:12,960 Speaker 3: some of its peers and the trading environment that they 681 00:35:12,960 --> 00:35:13,920 Speaker 3: were previously in. 682 00:35:14,400 --> 00:35:17,919 Speaker 11: Yeah, so, at least for some of the domestic US 683 00:35:18,040 --> 00:35:21,080 Speaker 11: based manufacturers, I think this is maybe a little bit 684 00:35:21,120 --> 00:35:23,120 Speaker 11: of a sigh of relief. By no means or we 685 00:35:23,160 --> 00:35:26,800 Speaker 11: have the woods yet, but it certainly seems that the tariffs, 686 00:35:26,960 --> 00:35:30,920 Speaker 11: as of least how they stand right now, are somewhat manageable. 687 00:35:31,560 --> 00:35:34,319 Speaker 11: You know, CATS expecting a net cost headwind of about 688 00:35:34,320 --> 00:35:36,680 Speaker 11: two hundred and fifty is three hundred and fifty million 689 00:35:36,760 --> 00:35:40,120 Speaker 11: dollars next quarter. If you kind of extrapolate that out 690 00:35:40,160 --> 00:35:42,239 Speaker 11: over the balance of the year, you're talking, you know, 691 00:35:42,440 --> 00:35:44,439 Speaker 11: maybe somewhere in the one hundred and hundred and fifty 692 00:35:44,440 --> 00:35:48,040 Speaker 11: basis point headwind of margins. But that may even prove, 693 00:35:48,080 --> 00:35:51,600 Speaker 11: you know, overly pessimistic, because you know, Cats still evaluating 694 00:35:51,640 --> 00:35:55,719 Speaker 11: and implementing some of these mitigation actions, so we could 695 00:35:55,760 --> 00:35:57,520 Speaker 11: even see that come down from here. 696 00:35:58,040 --> 00:36:00,359 Speaker 2: I was kind of surprised, I guess positively, Chris, that 697 00:36:00,480 --> 00:36:04,480 Speaker 2: their backlog looks pretty darn good. It's not like their 698 00:36:04,520 --> 00:36:07,000 Speaker 2: customers are saying are canceling orders or anything. 699 00:36:07,760 --> 00:36:10,319 Speaker 11: No, and it's it's a record backlog, right, so you 700 00:36:10,360 --> 00:36:13,000 Speaker 11: know we have coverage. You know, if you look at 701 00:36:13,080 --> 00:36:16,640 Speaker 11: consensus revenue, you know, whether we call it flatter down 702 00:36:16,680 --> 00:36:19,800 Speaker 11: slightly this year, they've got coverage for you know, nearly 703 00:36:19,840 --> 00:36:22,520 Speaker 11: seventy percent of the year already, So I think that 704 00:36:22,560 --> 00:36:25,040 Speaker 11: does help provide some kind of buffer. You know, there 705 00:36:25,080 --> 00:36:27,640 Speaker 11: was a concern out there that do we see this 706 00:36:27,880 --> 00:36:31,200 Speaker 11: pre buy you know, ahead of some of the tariff implementation, 707 00:36:31,600 --> 00:36:34,600 Speaker 11: and Kat really kind of downplayed that in conversations they're 708 00:36:34,600 --> 00:36:37,239 Speaker 11: having with their dealers and with their customers, they're really 709 00:36:37,320 --> 00:36:40,640 Speaker 11: not seeing any evidence of that. So yeah, these do 710 00:36:40,840 --> 00:36:43,799 Speaker 11: seem like, you know, true orders and really a really 711 00:36:43,920 --> 00:36:47,080 Speaker 11: healthy backlog, which you know, I think helps support you know, 712 00:36:47,160 --> 00:36:51,279 Speaker 11: that flatish type revenue outlook that they're putting out there. 713 00:36:51,680 --> 00:36:51,960 Speaker 9: All right. 714 00:36:51,960 --> 00:36:55,320 Speaker 3: Thanks to Chris Ciolino, Bloomberg Intelligence Senior US Machinery Analyst. 715 00:36:55,880 --> 00:37:00,600 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 716 00:37:00,760 --> 00:37:04,239 Speaker 1: and anywhere else you get your podcasts. Listen live each 717 00:37:04,239 --> 00:37:08,000 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 718 00:37:08,120 --> 00:37:11,680 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 719 00:37:12,080 --> 00:37:15,040 Speaker 1: You can also watch us live every weekday on YouTube 720 00:37:15,400 --> 00:37:17,680 Speaker 1: and always on the Bloomberg Terminal