1 00:00:02,520 --> 00:00:08,800 Speaker 1: Bloomberg Audio Studios podcasts, radio News, The. 2 00:00:08,880 --> 00:00:13,160 Speaker 2: Stock Movers podcast, your roundup of companies making moves in 3 00:00:13,200 --> 00:00:16,480 Speaker 2: the stock market, harnessing the power of Bloomberg Data. 4 00:00:17,760 --> 00:00:19,799 Speaker 1: Let's take a look at some stocks on the move 5 00:00:19,880 --> 00:00:22,120 Speaker 1: this past week with us to do that as Bloomberg 6 00:00:22,120 --> 00:00:26,599 Speaker 1: News process at reporter Emily Graffeo. Here in studio, Emily, 7 00:00:27,000 --> 00:00:29,120 Speaker 1: so let's talk about it. Broadcom. 8 00:00:29,360 --> 00:00:32,040 Speaker 3: Broadcom was one of the worst performers in the S 9 00:00:32,080 --> 00:00:35,320 Speaker 3: and P five hundred on the week. It's also having 10 00:00:35,360 --> 00:00:38,640 Speaker 3: a five day losing streak, which is the longest of 11 00:00:38,720 --> 00:00:42,160 Speaker 3: the year. This is in part a story about risk 12 00:00:42,280 --> 00:00:47,199 Speaker 3: assets falling this week after there's uncertainty about the economy, 13 00:00:47,240 --> 00:00:50,440 Speaker 3: the direction of inflation. We had bad economic data. Broadcome 14 00:00:50,479 --> 00:00:52,960 Speaker 3: is a chip company, so this is also a company 15 00:00:53,000 --> 00:00:55,240 Speaker 3: that gets a lot of its revenue from China. In 16 00:00:55,280 --> 00:00:59,000 Speaker 3: twenty twenty four, it got almost as much revenue from 17 00:00:59,480 --> 00:01:03,279 Speaker 3: all of the US than China, so well, I had 18 00:01:03,320 --> 00:01:05,680 Speaker 3: more in the US, but China was kind of right 19 00:01:05,760 --> 00:01:07,480 Speaker 3: up there in terms of where it gets its revenue, 20 00:01:07,520 --> 00:01:11,080 Speaker 3: so it could be exposed to more of Trump's tariffs. 21 00:01:11,080 --> 00:01:14,039 Speaker 3: But overall, tech is really getting batter this week and 22 00:01:14,120 --> 00:01:17,120 Speaker 3: Broadcom was one of the biggest losers of that trade. 23 00:01:17,160 --> 00:01:20,039 Speaker 4: This is crazy because you have to go back to 24 00:01:20,400 --> 00:01:24,440 Speaker 4: a few months ago, and it was Broadcom's earnings report 25 00:01:24,600 --> 00:01:26,840 Speaker 4: the cause shares in just a matter of a couple 26 00:01:26,959 --> 00:01:30,080 Speaker 4: weeks to move more than fifty percent higher. That was 27 00:01:30,160 --> 00:01:34,800 Speaker 4: back in Sepmber. Yeah, you now are back to levels 28 00:01:35,680 --> 00:01:38,520 Speaker 4: seen almost before those that report came out. It's down 29 00:01:38,560 --> 00:01:40,319 Speaker 4: thirty two percent since then, right. 30 00:01:40,240 --> 00:01:44,120 Speaker 3: Yeah, lois it hit the lowest level since December third today. 31 00:01:44,360 --> 00:01:45,080 Speaker 4: That's crazy. 32 00:01:45,640 --> 00:01:48,120 Speaker 1: And we know, right this past week we did see 33 00:01:48,280 --> 00:01:52,200 Speaker 1: foreign officials major tech companies pushing the Trump administratration to 34 00:01:52,400 --> 00:01:55,960 Speaker 1: kind of rethink some of those chip curbs, especially those 35 00:01:56,000 --> 00:01:59,960 Speaker 1: who make AI chips. So you know, the industry understands 36 00:02:00,200 --> 00:02:01,960 Speaker 1: was like the impact right, we're seeing it play out 37 00:02:01,960 --> 00:02:05,640 Speaker 1: on companies specifically in the industry overall. 38 00:02:05,360 --> 00:02:07,920 Speaker 3: And the questions on spending on AI too that would 39 00:02:07,960 --> 00:02:09,239 Speaker 3: weigh on a company like Broadcom. 40 00:02:09,280 --> 00:02:12,760 Speaker 1: I totally agree, all right, So let's get to Tesla. 41 00:02:12,919 --> 00:02:13,880 Speaker 1: Interesting week for this. 42 00:02:13,840 --> 00:02:16,640 Speaker 3: One, Okay, So Tesla, I have to admit I was 43 00:02:16,680 --> 00:02:18,600 Speaker 3: at a conference earlier this week. I was at the 44 00:02:18,639 --> 00:02:20,560 Speaker 3: Exchange ETF conference. 45 00:02:20,200 --> 00:02:22,840 Speaker 4: In Las Vegas in Las Vegas. Yeah, I heard there 46 00:02:23,000 --> 00:02:28,760 Speaker 4: was like some nice dinners, some nice drinks, some nice gambling. 47 00:02:28,840 --> 00:02:29,880 Speaker 4: Was there any working. 48 00:02:29,840 --> 00:02:31,799 Speaker 3: Yeah, there was a lot of working. Tim There was 49 00:02:31,840 --> 00:02:34,520 Speaker 3: a lot of networking. I mean, you know, a lot 50 00:02:34,520 --> 00:02:40,600 Speaker 3: of networking happens, and we can't help that. We're in 51 00:02:40,680 --> 00:02:43,960 Speaker 3: Las Vegas and there's a casino right there. But anyway, 52 00:02:44,000 --> 00:02:45,880 Speaker 3: I noticed that there were a lot of headlines on 53 00:02:46,000 --> 00:02:49,960 Speaker 3: Tesla and tariffs, and I wasn't really following it, but 54 00:02:50,639 --> 00:02:52,440 Speaker 3: you look at it on the week, it's up on 55 00:02:52,480 --> 00:02:54,840 Speaker 3: the week. Tesla's actually one of the best performers in 56 00:02:54,840 --> 00:02:57,119 Speaker 3: the S and P five hundred on the week, even 57 00:02:57,160 --> 00:03:00,960 Speaker 3: though it did fall quite a bit early in the week. 58 00:03:01,240 --> 00:03:04,359 Speaker 3: I guess the story here is that, out of all 59 00:03:04,400 --> 00:03:09,560 Speaker 3: of the automakers, because Tesla manufactures in the US, they're 60 00:03:09,560 --> 00:03:12,639 Speaker 3: a little bit more shielded from the tariffs. 61 00:03:12,720 --> 00:03:15,800 Speaker 4: Oh yeah, soon Tesla's other autos. Yeah, Tesla's got factories 62 00:03:15,840 --> 00:03:17,280 Speaker 4: all over the world. But the thing is is the 63 00:03:17,280 --> 00:03:19,959 Speaker 4: factories here in the US, which are in Fremont, California, 64 00:03:20,000 --> 00:03:22,640 Speaker 4: and Austin, Texas, they build cars that are meant for 65 00:03:22,680 --> 00:03:26,200 Speaker 4: the US. The factories in China and the factory in Germany, 66 00:03:26,520 --> 00:03:28,440 Speaker 4: those are for other markets, so they're not getting hit 67 00:03:28,440 --> 00:03:30,760 Speaker 4: with tariffs. But Elon Muskus, Carol pointed out earlier this week, 68 00:03:30,840 --> 00:03:34,560 Speaker 4: right did say that some parts of theirs will be 69 00:03:34,600 --> 00:03:35,720 Speaker 4: affected by auto tariffs. 70 00:03:35,760 --> 00:03:36,200 Speaker 2: But you're right. 71 00:03:36,240 --> 00:03:39,280 Speaker 4: I mean, this is like almost not almost a pure 72 00:03:39,280 --> 00:03:40,720 Speaker 4: play American company. 73 00:03:40,400 --> 00:03:43,880 Speaker 3: He said, Tesla. Musk tweeted or made a post on 74 00:03:44,160 --> 00:03:47,960 Speaker 3: X Tesla's not unscathed. The tariff impact on Tesla's still significant, 75 00:03:48,640 --> 00:03:51,200 Speaker 3: but I mean when you compare it to GM and Ford, 76 00:03:51,240 --> 00:03:54,320 Speaker 3: and it was interesting if you look at the drop 77 00:03:54,640 --> 00:03:59,160 Speaker 3: in Tesla at least on the day. So today Friday 78 00:03:59,520 --> 00:04:04,640 Speaker 3: lost thirty billion, that's almost the market cap of Ford, 79 00:04:05,640 --> 00:04:07,960 Speaker 3: so like it lost a Ford. And that is just 80 00:04:08,040 --> 00:04:11,040 Speaker 3: how much bigger Tesla is compared to the other You know, 81 00:04:11,080 --> 00:04:11,680 Speaker 3: we say that a. 82 00:04:11,600 --> 00:04:13,520 Speaker 1: Lot, but every time we do it, it just reminds 83 00:04:13,520 --> 00:04:16,680 Speaker 1: you how much the auto area has been kind of 84 00:04:16,800 --> 00:04:19,680 Speaker 1: upended as a result of Elon Musk. It's pretty staggering. 85 00:04:19,960 --> 00:04:22,880 Speaker 3: Yeah, so the market cap afford thirty eight billion, and 86 00:04:22,960 --> 00:04:24,919 Speaker 3: it's the loss about thirty billion on Friday. 87 00:04:25,160 --> 00:04:27,359 Speaker 4: Will you explain what happened with wolf Speed today? 88 00:04:27,520 --> 00:04:30,919 Speaker 3: I will try As a markets reporter, it caught my 89 00:04:31,080 --> 00:04:34,320 Speaker 3: eye I, to be honest, had not heard of this 90 00:04:34,600 --> 00:04:39,800 Speaker 3: company before. They are a tech company, Chips Chips. The 91 00:04:39,839 --> 00:04:44,880 Speaker 3: stock fell over fifty percent, which is just absolutely wild. 92 00:04:45,160 --> 00:04:46,720 Speaker 3: We did have a story on Bloomberg that they were 93 00:04:46,720 --> 00:04:50,160 Speaker 3: struggling to reach a deal with investors to refinance their 94 00:04:50,240 --> 00:04:52,919 Speaker 3: convertible bonds. I'm just going to read the line. So 95 00:04:52,960 --> 00:04:56,359 Speaker 3: their shares closed at two dollars fifty nine cents Friday 96 00:04:56,440 --> 00:05:00,400 Speaker 3: after sinking over fifty percent. A conversion to EQUI would 97 00:05:00,400 --> 00:05:04,159 Speaker 3: be unlikely unless the price reaches forty seven dollars, which 98 00:05:05,160 --> 00:05:08,280 Speaker 3: just doesn't really look like that's going to happen. They 99 00:05:08,279 --> 00:05:12,000 Speaker 3: also named a new CEO on Thursday. But again from 100 00:05:12,000 --> 00:05:14,800 Speaker 3: my angle, I just look at this. My first thought was, Wow, 101 00:05:14,839 --> 00:05:16,280 Speaker 3: if you were short with this stock, you much have 102 00:05:16,440 --> 00:05:18,240 Speaker 3: you must have made a lot of money. And that 103 00:05:18,400 --> 00:05:21,720 Speaker 3: is what the data from S three Partners said, paper 104 00:05:21,760 --> 00:05:23,880 Speaker 3: profits of about one hundred and twenty two million on 105 00:05:23,920 --> 00:05:27,680 Speaker 3: the stocks drop if you were short at least on 106 00:05:27,839 --> 00:05:29,200 Speaker 3: Friday for wolf Speed. 107 00:05:29,600 --> 00:05:32,400 Speaker 1: Interesting week for some of these names. Great to check 108 00:05:32,400 --> 00:05:35,280 Speaker 1: in with you. Emily Graffeo, cross asset reporter at Bloomberg. 109 00:05:36,680 --> 00:05:40,840 Speaker 2: The Stock Movers podcast from Bloomberg Radio check Back with 110 00:05:40,920 --> 00:05:43,680 Speaker 2: us throughout the day for the latest roundup of companies 111 00:05:43,720 --> 00:05:46,760 Speaker 2: making news on Wall Street, and for the latest market 112 00:05:46,800 --> 00:05:51,120 Speaker 2: moving headlines. 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