1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:08,560 --> 00:00:12,440 Speaker 2: The Stock Movers report, your roundup of companies making moves 3 00:00:12,480 --> 00:00:15,880 Speaker 2: in the stock market, harnessing the power of Bloomberg Data. 4 00:00:16,680 --> 00:00:19,200 Speaker 1: I'm Tim Steeveeck along with Carol Master. Let's take a 5 00:00:19,239 --> 00:00:21,599 Speaker 1: look at some stocks on the move today. We're joined 6 00:00:21,600 --> 00:00:25,360 Speaker 1: by Bloomberg News Equities reporter Natalia Kenny Jvich. Natalia. A 7 00:00:25,400 --> 00:00:27,720 Speaker 1: lot moving in the after hours. 8 00:00:27,400 --> 00:00:30,040 Speaker 3: A lot. So let's start with the biggest post market 9 00:00:30,200 --> 00:00:34,360 Speaker 3: stock mover, or Oracle, the tickers O r CL. The 10 00:00:34,400 --> 00:00:37,839 Speaker 3: stock is down by six point five percent on posting 11 00:00:38,280 --> 00:00:42,720 Speaker 3: disappointing cloud revenue. So basically, fiscal second quarter cloud sales 12 00:00:42,720 --> 00:00:47,839 Speaker 3: increased thirty four percent, revenue four in infrastructure business jumped 13 00:00:47,880 --> 00:00:54,080 Speaker 3: sixty eight percent, but both those metrics they came below expectations. 14 00:00:54,400 --> 00:00:57,240 Speaker 3: The company is now engaging in this big data center 15 00:00:57,320 --> 00:01:01,160 Speaker 3: buildout to power. Of course, this ai work for open Ai. 16 00:01:01,240 --> 00:01:04,760 Speaker 3: It also has clients like Biden says TikTok Meta Platforms 17 00:01:05,160 --> 00:01:08,120 Speaker 3: as some of its customers. However, there's a lot of 18 00:01:08,200 --> 00:01:12,560 Speaker 3: skepticism among investors because they think that there's a lot 19 00:01:12,600 --> 00:01:18,120 Speaker 3: of competition from companies like Alphabet. So it's still there 20 00:01:18,160 --> 00:01:20,480 Speaker 3: are lots of unknowns in the future for the company. 21 00:01:20,640 --> 00:01:22,520 Speaker 4: There's a lot of nervousness when it comes to Oracle. 22 00:01:22,520 --> 00:01:25,480 Speaker 4: I mean the stock is slid about thirty percent I 23 00:01:25,480 --> 00:01:28,760 Speaker 4: think since hitting a record just a few months ago, 24 00:01:28,920 --> 00:01:31,520 Speaker 4: and so it's done I think about thirty percent, and 25 00:01:31,560 --> 00:01:33,520 Speaker 4: then you're just seeing it continue to trade lower. So 26 00:01:33,560 --> 00:01:36,000 Speaker 4: there is nervousness about the spend and build out, right. 27 00:01:36,600 --> 00:01:41,319 Speaker 1: I think that's the concern going into it too, was like, yeah, 28 00:01:41,319 --> 00:01:43,440 Speaker 1: exactly what's going on? And you know, we saw it 29 00:01:43,480 --> 00:01:46,240 Speaker 1: with credit default swaps just a few weeks ago, and 30 00:01:46,280 --> 00:01:49,840 Speaker 1: I think and look, we're talking about this recording this 31 00:01:49,880 --> 00:01:51,960 Speaker 1: at a time where we haven't listened to the call yet. 32 00:01:52,120 --> 00:01:53,880 Speaker 1: So you said, and you made the point on our 33 00:01:53,880 --> 00:01:56,160 Speaker 1: program today, Carol, that this is going to be a 34 00:01:56,160 --> 00:01:57,160 Speaker 1: main question on the call. 35 00:01:57,440 --> 00:01:57,760 Speaker 4: Yeah. 36 00:01:57,800 --> 00:01:59,520 Speaker 1: So, and also are going to want to know about 37 00:01:59,520 --> 00:01:59,880 Speaker 1: the debt. 38 00:02:00,120 --> 00:02:01,800 Speaker 4: Means it's a little hand good to the Bloomberg a 39 00:02:01,800 --> 00:02:02,480 Speaker 4: little bit later on. 40 00:02:03,000 --> 00:02:05,640 Speaker 1: All right, So Oracle on your radar. Also g e 41 00:02:05,720 --> 00:02:07,400 Speaker 1: Veranova ticker ge V. 42 00:02:07,680 --> 00:02:08,480 Speaker 4: I love this stock. 43 00:02:09,080 --> 00:02:10,720 Speaker 1: Why do you love it? I just think it's just 44 00:02:10,800 --> 00:02:11,359 Speaker 1: the spin off. 45 00:02:11,600 --> 00:02:14,600 Speaker 4: Yeah, I think the spinoff story. The background, Remember when 46 00:02:14,639 --> 00:02:17,760 Speaker 4: GE was just a huge conglomerate, everything under and then 47 00:02:17,760 --> 00:02:18,440 Speaker 4: they spun off. 48 00:02:18,440 --> 00:02:23,240 Speaker 1: The GE was the company, it was the aconomy. They 49 00:02:23,240 --> 00:02:26,160 Speaker 1: were in everything. They were in financial services, they were 50 00:02:26,240 --> 00:02:29,760 Speaker 1: in industrial state media. I mean, yeah, so it's a 51 00:02:29,880 --> 00:02:32,560 Speaker 1: very different g Vernova is very different than what GI 52 00:02:32,880 --> 00:02:33,520 Speaker 1: was back in the day. 53 00:02:33,560 --> 00:02:36,200 Speaker 3: We're doing well, doing well. This is the best performance 54 00:02:36,240 --> 00:02:38,480 Speaker 3: stock in the S and P five hundred today. It's 55 00:02:38,520 --> 00:02:42,519 Speaker 3: a by fifteen almost sixteen percent today. And this is 56 00:02:42,560 --> 00:02:46,240 Speaker 3: also now your AI infrastructure story, because right we see 57 00:02:46,280 --> 00:02:50,680 Speaker 3: that the company is benefiting from this demand for electricity, 58 00:02:50,760 --> 00:02:54,600 Speaker 3: driven of course by data centers, AI overall electrification of 59 00:02:54,639 --> 00:02:57,720 Speaker 3: the economy. However, I should point out that win the 60 00:02:57,760 --> 00:03:01,880 Speaker 3: business was the weakest spot. Nevertheless, we saw an upgrade 61 00:03:01,919 --> 00:03:05,800 Speaker 3: from Oppenheimer and the analysts said that despite this wind, 62 00:03:05,840 --> 00:03:11,760 Speaker 3: business underperformed. The magnitude of AI infrastructure built out is 63 00:03:11,960 --> 00:03:16,120 Speaker 3: becoming much bigger and lasting longer than they previously expected. 64 00:03:16,120 --> 00:03:19,000 Speaker 3: The price target was said that eight hundred and fifty 65 00:03:19,240 --> 00:03:21,000 Speaker 3: five dollars. 66 00:03:21,040 --> 00:03:23,680 Speaker 4: Stock close at seven twenty three. Stock is up almost 67 00:03:23,720 --> 00:03:26,360 Speaker 4: one hundred and twenty percent year today. That's amazing. 68 00:03:26,600 --> 00:03:29,400 Speaker 1: Okay, so that's certainly one stock that moved higher today. 69 00:03:29,440 --> 00:03:31,960 Speaker 1: A stock that did not move higher today and in 70 00:03:31,960 --> 00:03:35,800 Speaker 1: fact moved lower was Uber. Gig economy stocks took a 71 00:03:35,840 --> 00:03:38,520 Speaker 1: real hit today, Natalia, what's going on exactly? 72 00:03:38,600 --> 00:03:41,520 Speaker 3: So Uber the taker as Uber is down by five 73 00:03:41,600 --> 00:03:45,760 Speaker 3: point five percent today. This came after a Webbush analyst 74 00:03:46,520 --> 00:03:50,640 Speaker 3: raised some concerns and specifically they said that Tesla and 75 00:03:50,680 --> 00:03:55,000 Speaker 3: Way more ramping up their autonomous vehicle efforts into twenty 76 00:03:55,040 --> 00:03:58,000 Speaker 3: twenty six and that could be a big disruption for 77 00:03:58,080 --> 00:04:02,760 Speaker 3: companies like Uber like and they say twenty twenty six 78 00:04:02,800 --> 00:04:05,360 Speaker 3: could be a very painful year. This is a quote 79 00:04:05,360 --> 00:04:09,800 Speaker 3: for both companies. And he also said that many people 80 00:04:09,920 --> 00:04:14,640 Speaker 3: just underestimate how negative the impact from avs could be 81 00:04:14,680 --> 00:04:16,840 Speaker 3: for this traditional drivers. 82 00:04:17,000 --> 00:04:25,760 Speaker 1: Remember Uber had this whole autonomous vehicle under Travis Kalanik, 83 00:04:25,839 --> 00:04:29,359 Speaker 1: like they were doing this, Yeah, and they sold it 84 00:04:29,400 --> 00:04:32,479 Speaker 1: off a few years ago because it was expensive and 85 00:04:32,560 --> 00:04:35,720 Speaker 1: shareholders didn't necessarily love it. But I mean this was 86 00:04:35,760 --> 00:04:38,400 Speaker 1: the ultimate goal was create And that's what Elon's trying 87 00:04:38,400 --> 00:04:42,159 Speaker 1: to do with Tesla Robotaxi, like create a service that 88 00:04:42,240 --> 00:04:44,000 Speaker 1: doesn't actually involve human drivers. 89 00:04:44,040 --> 00:04:45,320 Speaker 4: And then there's weymos. 90 00:04:45,760 --> 00:04:47,880 Speaker 1: Well that's the point, right, Love weimos. 91 00:04:47,920 --> 00:04:50,359 Speaker 4: Have you been in a Wemo Never? Oh my god, 92 00:04:50,520 --> 00:04:53,680 Speaker 4: it is heavenly. It's like going into a spa. I 93 00:04:53,680 --> 00:04:56,600 Speaker 4: mean the music is spa, like there's nobody in there. 94 00:04:56,760 --> 00:04:59,039 Speaker 4: It's like an really spotless car. 95 00:04:59,200 --> 00:05:02,640 Speaker 1: Carol's always raised your hand to go to California. 96 00:05:03,160 --> 00:05:05,400 Speaker 4: Everything I know, I make sure I get in a way. 97 00:05:05,440 --> 00:05:09,719 Speaker 2: Milt is a couple of times the Stockmovers Report from 98 00:05:09,760 --> 00:05:12,839 Speaker 2: Bloomberg Radio. Check back with us throughout the day for 99 00:05:12,920 --> 00:05:16,040 Speaker 2: the latest roundup of companies making news on Wall Street 100 00:05:16,320 --> 00:05:19,800 Speaker 2: and for the latest market moving headlines. Listen to Bloomberg 101 00:05:19,920 --> 00:05:23,520 Speaker 2: Radio Live, catch us on YouTube, Bloomberg dot com, and 102 00:05:23,680 --> 00:05:27,320 Speaker 2: on Applecarplay and Android Auto with the Bloomberg Business app.