1 00:00:02,520 --> 00:00:07,360 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:08,520 --> 00:00:12,440 Speaker 2: The Stock Movers Report, your roundup of companies making moves 3 00:00:12,440 --> 00:00:15,880 Speaker 2: in the stock market, harnessing the power of Bloomberg Data. 4 00:00:16,800 --> 00:00:19,200 Speaker 1: I'm Carol Masser along with Tim Stanevik. Let's get to 5 00:00:19,280 --> 00:00:21,600 Speaker 1: some stocks on the move in the house. Bloomberg News 6 00:00:21,600 --> 00:00:24,120 Speaker 1: Equities reporter Alexandra Semonova. 7 00:00:24,239 --> 00:00:26,119 Speaker 2: Good to have you here. There are some great. 8 00:00:25,920 --> 00:00:27,800 Speaker 1: Good to be here, some big movers today. 9 00:00:27,920 --> 00:00:28,120 Speaker 2: Yeah. 10 00:00:28,120 --> 00:00:30,960 Speaker 3: I realized that if we're not talking about geopolitical headlines, 11 00:00:31,000 --> 00:00:33,760 Speaker 3: then we're talking about an AI deal. And given the 12 00:00:33,800 --> 00:00:36,320 Speaker 3: calm that we're experiencing right now in the headline front, 13 00:00:36,400 --> 00:00:38,680 Speaker 3: I'm going to tell you guys about core Weave, which 14 00:00:38,720 --> 00:00:40,920 Speaker 3: is up about three percent today. This is after it 15 00:00:41,000 --> 00:00:45,000 Speaker 3: struck a twenty one billion dollar deal with Meta Platforms. 16 00:00:45,040 --> 00:00:48,520 Speaker 3: They already have an existing relationship and this is deepening 17 00:00:48,880 --> 00:00:52,840 Speaker 3: that relationship. Core We've now holds thirty five billion dollars 18 00:00:52,920 --> 00:00:55,440 Speaker 3: in contracts with metap, making the tech firm one of 19 00:00:55,480 --> 00:00:58,720 Speaker 3: its largest customers. And the goal here is, of course, 20 00:00:59,160 --> 00:01:03,240 Speaker 3: Meta kind of trying to build out its AI models. 21 00:01:03,560 --> 00:01:07,280 Speaker 3: Core Weave will provide a cloud capacity to Meta from 22 00:01:07,400 --> 00:01:12,759 Speaker 3: multiple data centers powered in part also by Nvidia's systems 23 00:01:12,800 --> 00:01:16,160 Speaker 3: of chips and Meta also up about two point five percent. 24 00:01:16,319 --> 00:01:18,440 Speaker 1: So these are those neo clouds, right, it's kind of 25 00:01:18,480 --> 00:01:19,759 Speaker 1: like outsourcing, right, your. 26 00:01:19,680 --> 00:01:21,880 Speaker 4: Data Centervi Nevius is another one of those. 27 00:01:22,160 --> 00:01:25,080 Speaker 1: But it's like kind of you know, right, for computing power. 28 00:01:25,120 --> 00:01:26,520 Speaker 1: And so I find other folks with. 29 00:01:26,520 --> 00:01:29,440 Speaker 4: Big data, the opposite of the hyperscalers. 30 00:01:28,520 --> 00:01:31,039 Speaker 1: Correct, right, who are doing which is meta? 31 00:01:31,120 --> 00:01:33,480 Speaker 4: And this is a nice Livingston, New Jersey company too. 32 00:01:33,520 --> 00:01:34,839 Speaker 4: Don't forget New Jersey. 33 00:01:34,880 --> 00:01:35,679 Speaker 1: We do it so well. 34 00:01:35,880 --> 00:01:38,720 Speaker 3: Also testament of how intertwined all these companies are. 35 00:01:38,840 --> 00:01:42,440 Speaker 1: That's the thing that makes me very fascinate, right, It 36 00:01:42,640 --> 00:01:46,280 Speaker 1: just you just wonder, you know, real or creating demand. 37 00:01:46,319 --> 00:01:47,800 Speaker 1: And I guess time will tell on this. 38 00:01:47,880 --> 00:01:50,760 Speaker 4: And that's a question about core Weave in its business model. 39 00:01:50,800 --> 00:01:52,960 Speaker 4: Because sixty seven percent of its revenue, according to the 40 00:01:52,960 --> 00:01:56,560 Speaker 4: supply chain function on the Bloomberg terminal, comes from Microsoft. 41 00:01:57,120 --> 00:01:59,760 Speaker 4: Then it's eight percent from meta platforms, five percent from 42 00:01:59,760 --> 00:02:01,880 Speaker 4: out bet, and than one point six from IBM. So 43 00:02:01,960 --> 00:02:03,480 Speaker 4: four customers, basically. 44 00:02:03,200 --> 00:02:05,040 Speaker 1: Yeah, I mean good customers. Right, If you're going to 45 00:02:05,120 --> 00:02:07,320 Speaker 1: have four, those are good ones. But if anything changes 46 00:02:07,400 --> 00:02:10,560 Speaker 1: dramatically in their business situations. That's going to have a 47 00:02:10,600 --> 00:02:12,600 Speaker 1: big impact on COREED. Let's go to Caravana. 48 00:02:12,800 --> 00:02:15,280 Speaker 3: Yeah, I love talking about this company because of its 49 00:02:15,320 --> 00:02:18,560 Speaker 3: turnaround story. It basically came back from the dead. It 50 00:02:18,680 --> 00:02:21,680 Speaker 3: surged ten thousand percent. You guys remember from being a 51 00:02:21,720 --> 00:02:25,040 Speaker 3: four dollars stock to four hundred dollars last year. But 52 00:02:25,840 --> 00:02:29,720 Speaker 3: under pressure now it is sliding. Today looks like it's 53 00:02:29,760 --> 00:02:32,520 Speaker 3: down about two point nine percent, less of a decline 54 00:02:32,520 --> 00:02:34,480 Speaker 3: than earlier in the day, was down as much as 55 00:02:34,520 --> 00:02:38,040 Speaker 3: six point six percent. This is after JP Morgan cut 56 00:02:38,080 --> 00:02:41,800 Speaker 3: its price target on the car retailer. Basically, they slashed 57 00:02:41,800 --> 00:02:44,679 Speaker 3: their estimates for the company's twenty twenty six EBIT top 58 00:02:45,000 --> 00:02:50,400 Speaker 3: They cited weaker than expected industry demand, ongoing higher fuel expenses, 59 00:02:50,480 --> 00:02:55,640 Speaker 3: and kind of general pressure and kind of customers moving 60 00:02:55,680 --> 00:02:57,600 Speaker 3: away from this business model. They are, of course, that 61 00:02:57,680 --> 00:03:00,720 Speaker 3: company that has those car vending machine. I guess their 62 00:03:00,800 --> 00:03:04,480 Speaker 3: expectation is that with higher oil prices and consumers being 63 00:03:04,520 --> 00:03:06,440 Speaker 3: a little bit cash strapped, they're not going to be 64 00:03:06,440 --> 00:03:07,320 Speaker 3: buying those cars. 65 00:03:07,520 --> 00:03:09,919 Speaker 1: Yeah, that kind of makes sense. I don't know. Yeah, 66 00:03:09,960 --> 00:03:11,840 Speaker 1: but this one is I agree with you. I think 67 00:03:11,880 --> 00:03:14,200 Speaker 1: it's just a fascinating story, and it's I almost feel 68 00:03:14,200 --> 00:03:16,799 Speaker 1: like it's a great business school case study, just kind 69 00:03:16,800 --> 00:03:19,480 Speaker 1: of the highs and lows. And definitely this company, let's 70 00:03:19,480 --> 00:03:21,360 Speaker 1: go to Chevron, makes sense to be talking about one 71 00:03:21,400 --> 00:03:22,960 Speaker 1: of the major oil companies here. 72 00:03:23,040 --> 00:03:26,280 Speaker 3: Yeah, so you would think that an increase in oil 73 00:03:26,320 --> 00:03:28,679 Speaker 3: prices would be a boon for some of these companies, 74 00:03:28,680 --> 00:03:31,440 Speaker 3: but it actually was a lot more complicated than that, 75 00:03:32,040 --> 00:03:34,800 Speaker 3: given these shipping blockades and the strait of horror moves. 76 00:03:34,840 --> 00:03:38,800 Speaker 3: Exxon and Chevron lost about six percent of their global 77 00:03:38,880 --> 00:03:43,080 Speaker 3: production in the first quarter. Shells gas output was five 78 00:03:43,160 --> 00:03:46,000 Speaker 3: percent lower, largely because of what is going on in 79 00:03:46,040 --> 00:03:48,040 Speaker 3: the Middle East. So it's been a really difficult quarter 80 00:03:48,120 --> 00:03:51,920 Speaker 3: for them. Analysts are lowering their forecasts actually after these 81 00:03:51,920 --> 00:03:55,800 Speaker 3: reports for Exon and Chevron's first quarter results after the 82 00:03:55,840 --> 00:03:59,520 Speaker 3: company is disclosed about seven billion dollars in mark to 83 00:03:59,600 --> 00:04:03,000 Speaker 3: market or a bit of losses combined. And Jeffrey's analyst said, 84 00:04:03,240 --> 00:04:06,240 Speaker 3: very simply, the Middle East makes it a messy quarter. 85 00:04:06,400 --> 00:04:07,600 Speaker 3: Pretty much the takeaway here. 86 00:04:08,360 --> 00:04:11,120 Speaker 4: Yeah, you know, Chevron, for example, down today but up 87 00:04:11,200 --> 00:04:14,000 Speaker 4: twenty five percent so far this year. You have to 88 00:04:14,040 --> 00:04:16,200 Speaker 4: wonder what's been baked in over the last few weeks, 89 00:04:16,200 --> 00:04:17,800 Speaker 4: those investors have been like, wait a second, we have 90 00:04:17,800 --> 00:04:21,320 Speaker 4: these higher energy prices, we have an issue when it 91 00:04:21,360 --> 00:04:24,720 Speaker 4: comes to supply, a supply shock. You know, we're going 92 00:04:24,760 --> 00:04:26,359 Speaker 4: to buy the stock at this point, I don't know. 93 00:04:26,680 --> 00:04:29,360 Speaker 3: Yeah, So obviously the bar was also high getting the run. 94 00:04:29,320 --> 00:04:31,560 Speaker 4: Up that oil stock's not bad, but neat oil. 95 00:04:31,760 --> 00:04:32,640 Speaker 3: Yeah, we do. 96 00:04:34,720 --> 00:04:38,760 Speaker 2: This Stock movers report from Bloomberg Radio. 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