1 00:00:02,520 --> 00:00:09,960 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, The Stock Movers report, 2 00:00:10,240 --> 00:00:13,520 Speaker 1: your roundup of companies making moves in the stock market, 3 00:00:13,680 --> 00:00:15,880 Speaker 1: harnessing the power of Bloomberg data. 4 00:00:16,680 --> 00:00:18,560 Speaker 2: Let's take a look at some of these stocks on 5 00:00:18,600 --> 00:00:21,319 Speaker 2: the move today. I'm Paul swinging alongside Norma Linda, and 6 00:00:21,360 --> 00:00:23,959 Speaker 2: we're here with Bloomberg at least mintail with the stock movers. 7 00:00:24,000 --> 00:00:25,439 Speaker 2: You you sure what you got all right? So have to 8 00:00:25,480 --> 00:00:29,280 Speaker 2: start with Nvidia. I mean it's the strong topic. NVDA 9 00:00:29,440 --> 00:00:32,479 Speaker 2: the ticker world's most valuable company, right, so the shares 10 00:00:32,479 --> 00:00:33,920 Speaker 2: have been down as much as one and a half 11 00:00:33,920 --> 00:00:36,800 Speaker 2: percent before the bell a few things. So it posted 12 00:00:36,800 --> 00:00:39,560 Speaker 2: a strong quarter. Sales were in line with estimates, roughly 13 00:00:39,600 --> 00:00:42,519 Speaker 2: fifty four billion in the fiscal third quarter, but some 14 00:00:42,640 --> 00:00:45,400 Speaker 2: analysts projected more than sixty billions, so it was a 15 00:00:45,400 --> 00:00:48,120 Speaker 2: bit short there. It sparked a lot of questions about 16 00:00:48,120 --> 00:00:51,440 Speaker 2: the pace of investment in AI system, so that was 17 00:00:51,479 --> 00:00:54,720 Speaker 2: an issue there. It also worries about difficulties in China. 18 00:00:54,760 --> 00:00:56,480 Speaker 2: But I just want to point out we're just getting 19 00:00:56,480 --> 00:00:59,200 Speaker 2: this news into Fox is reporting in videas in talks 20 00:00:59,200 --> 00:01:02,720 Speaker 2: with the Trump administry about selling those blackwell AI chips 21 00:01:02,720 --> 00:01:05,520 Speaker 2: to China, and it's willing to give the US a 22 00:01:05,600 --> 00:01:08,280 Speaker 2: cut of those sales. So that's according to Fox right now, 23 00:01:08,400 --> 00:01:10,320 Speaker 2: so the shares, yeah, they have paired back a little bit, 24 00:01:10,319 --> 00:01:12,279 Speaker 2: so now it's down about two tens of a percent 25 00:01:12,319 --> 00:01:13,720 Speaker 2: instead of earlier where it was about one and a 26 00:01:13,760 --> 00:01:17,279 Speaker 2: half percent. CEO Jensen Wong, he's been trying to ease 27 00:01:17,360 --> 00:01:20,199 Speaker 2: those concerns, right, he said, the opportunity is immense. He said, 28 00:01:20,200 --> 00:01:23,440 Speaker 2: we see three to four trillion in AI infrastructure spend 29 00:01:23,440 --> 00:01:26,679 Speaker 2: by the end of the decade. The company also improved 30 00:01:26,720 --> 00:01:29,640 Speaker 2: an additional sixty billion dollars in stock five x too, 31 00:01:29,720 --> 00:01:33,440 Speaker 2: so some good news on that side. Stick with tech here, 32 00:01:33,520 --> 00:01:36,440 Speaker 2: let's go to Snowflake. It's ticker of course s now 33 00:01:36,959 --> 00:01:40,119 Speaker 2: Their sharees have been up as much as fourteen percent, 34 00:01:40,360 --> 00:01:42,680 Speaker 2: and it's kind of this breath of fresh air because 35 00:01:42,720 --> 00:01:45,119 Speaker 2: there were some anxiety that software vendors would really take 36 00:01:45,160 --> 00:01:47,760 Speaker 2: a hit because the economy has been slowing. New AI 37 00:01:47,800 --> 00:01:50,320 Speaker 2: companies are starting to take away business. But they gave 38 00:01:50,360 --> 00:01:52,760 Speaker 2: a strong outlook, so that was some good news. They 39 00:01:52,800 --> 00:01:55,040 Speaker 2: said private product revenue is going to be about four 40 00:01:55,040 --> 00:01:57,840 Speaker 2: point four billion in the fiscal year ending in January. 41 00:01:58,280 --> 00:02:01,279 Speaker 2: But software companies you already got. They already got this boost. 42 00:02:01,360 --> 00:02:04,040 Speaker 2: Yesterday they had strong earnings from Mongo dB that we 43 00:02:04,120 --> 00:02:07,600 Speaker 2: told you about. That's another data focused vender. So this 44 00:02:07,720 --> 00:02:09,960 Speaker 2: is kind of more good news for the sector, kind 45 00:02:09,960 --> 00:02:12,640 Speaker 2: of feeding into that. And we've been talking a lot 46 00:02:12,680 --> 00:02:15,560 Speaker 2: about retail right, so we want to go to discount 47 00:02:15,600 --> 00:02:17,640 Speaker 2: retailer Burlington. There were so many I'm like, where do 48 00:02:17,680 --> 00:02:21,560 Speaker 2: we go. Let's say Burlington Stores ticker b u r L. 49 00:02:21,639 --> 00:02:23,960 Speaker 2: Their shares have been up as much as nine percent. 50 00:02:24,000 --> 00:02:25,880 Speaker 2: They've kind of pared back a little bit since then, 51 00:02:26,520 --> 00:02:30,880 Speaker 2: but second quarter of results topped expectations, management raises, adjusted EPs, 52 00:02:30,880 --> 00:02:34,440 Speaker 2: guidance higher, also boosted the low end of its sales forecast. 53 00:02:34,760 --> 00:02:37,480 Speaker 2: But this is a discount retailer, and you were just 54 00:02:37,520 --> 00:02:40,440 Speaker 2: talking about this earlier, Paul, Like those discount retailers seem 55 00:02:40,520 --> 00:02:43,320 Speaker 2: to be doing well. People's you know, budgets are tightened 56 00:02:43,320 --> 00:02:46,640 Speaker 2: and they're looking for deals, and that's one of the 57 00:02:46,639 --> 00:02:52,359 Speaker 2: places that they've been going to Burlington, New Jersey. Ye, yeah, exactly, 58 00:02:52,760 --> 00:02:54,720 Speaker 2: there we go. Yes, But a lot of those like 59 00:02:54,760 --> 00:02:57,720 Speaker 2: the Dollar General we've been talking about and the tgx's 60 00:02:57,760 --> 00:03:00,400 Speaker 2: we've been talking about so those discount retailers, so people 61 00:03:00,400 --> 00:03:04,240 Speaker 2: are still spending. They're just looking for value, looking for deals. Yes, 62 00:03:04,600 --> 00:03:07,600 Speaker 2: I'm the bargain shop. Yes, you had to do it. 63 00:03:08,320 --> 00:03:10,080 Speaker 2: And if you guys have been to a mall lately, 64 00:03:10,240 --> 00:03:13,000 Speaker 2: you know Build a Bear right, oh yeah, over the 65 00:03:13,040 --> 00:03:15,239 Speaker 2: malls right, you go there, the kids pick out the thing, 66 00:03:15,400 --> 00:03:17,160 Speaker 2: it's stuff it with all the filling, and you pick 67 00:03:17,200 --> 00:03:19,560 Speaker 2: out a you know, an outfit, and you come out spending. 68 00:03:19,600 --> 00:03:22,480 Speaker 2: I don't even know how much much. Two ms okay, 69 00:03:22,720 --> 00:03:25,160 Speaker 2: but their shares have been up as much as seventeen 70 00:03:25,240 --> 00:03:29,200 Speaker 2: percent and Sticker B b W apparently the record second 71 00:03:29,280 --> 00:03:32,680 Speaker 2: quarter first half Physical twenty twenty five results it increase 72 00:03:32,760 --> 00:03:35,720 Speaker 2: its annual guidance. Its CEO said, you know what, we 73 00:03:35,760 --> 00:03:38,400 Speaker 2: want to advance the long term strategic initiatives. We have 74 00:03:38,440 --> 00:03:41,400 Speaker 2: a focus on global expansion of their model, and they've 75 00:03:41,440 --> 00:03:44,680 Speaker 2: had a stronger than anticipated pace of new location opening. 76 00:03:44,720 --> 00:03:48,520 Speaker 2: So they've been opening some more stores and people just 77 00:03:48,760 --> 00:03:52,000 Speaker 2: like the Build a Bear. They love a good teddy bear. Yeah, 78 00:03:52,160 --> 00:03:54,720 Speaker 2: they're leave the children being dressed in anything. I know 79 00:03:54,800 --> 00:03:57,040 Speaker 2: my son had like a one dressed in like a 80 00:03:57,080 --> 00:04:01,000 Speaker 2: cowboys jersey because he was a cowboy friand like my daughter, 81 00:04:01,000 --> 00:04:03,480 Speaker 2: we still have everyone. No I tossed that one in 82 00:04:03,520 --> 00:04:08,000 Speaker 2: the garbage, okay, but it just goes to show you, 83 00:04:08,000 --> 00:04:11,080 Speaker 2: you know, that it still has an attraction even years after, 84 00:04:11,120 --> 00:04:13,000 Speaker 2: because it was starting to fade back a little bit. 85 00:04:13,400 --> 00:04:15,360 Speaker 2: But now they're starting to get like this, this re 86 00:04:16,040 --> 00:04:18,400 Speaker 2: second wins, a second win into the company. Which is 87 00:04:18,400 --> 00:04:19,600 Speaker 2: which is which is good? 88 00:04:20,560 --> 00:04:24,600 Speaker 1: The Stock Movers Report from Bloomberg Radio. Check back with 89 00:04:24,680 --> 00:04:27,240 Speaker 1: us throughout the day for the latest roundup of companies 90 00:04:27,320 --> 00:04:30,400 Speaker 1: making news on Wall Street and for the latest market 91 00:04:30,440 --> 00:04:34,920 Speaker 1: moving headlines. 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