1 00:00:02,520 --> 00:00:07,360 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 00:00:16,800 --> 00:00:19,160 Speaker 3: Let's get over to an Italian ki Jaevitch. She's gonna 5 00:00:19,320 --> 00:00:22,040 Speaker 3: walk us through some of the single stock stories that 6 00:00:22,079 --> 00:00:23,239 Speaker 3: we're following this morning. Italia. 7 00:00:23,360 --> 00:00:26,079 Speaker 4: Yes, and as you mentioned, we have some news about deals. So, 8 00:00:26,160 --> 00:00:28,800 Speaker 4: for example, Metta agreed to buy Manus. This is a 9 00:00:28,840 --> 00:00:34,240 Speaker 4: Singapore based AI agent with Chinese roots. Metasures are flat 10 00:00:34,280 --> 00:00:37,360 Speaker 4: and pre market, but nevertheless it's an interesting deal. So 11 00:00:37,440 --> 00:00:40,360 Speaker 4: the deal values Manus at about two billion dollars. This 12 00:00:40,400 --> 00:00:44,600 Speaker 4: is according to sources, and they also told Bloomberg that 13 00:00:44,680 --> 00:00:47,519 Speaker 4: this deal was struck in about ten days. According to 14 00:00:47,520 --> 00:00:52,880 Speaker 4: a statement, Meta plans to continue operating and selling Manus service, 15 00:00:52,920 --> 00:00:56,959 Speaker 4: but also it wants to integrate its into its own products. 16 00:00:57,040 --> 00:00:59,880 Speaker 4: So this startup is bagged by some of the biggest 17 00:01:00,280 --> 00:01:05,760 Speaker 4: Chinese names like ten Cent. It's AI agent can complete 18 00:01:05,800 --> 00:01:10,240 Speaker 4: different tasks like screening resumes, analyzing stocks, et cetera. 19 00:01:10,720 --> 00:01:12,400 Speaker 5: And it is a profitable business. 20 00:01:12,480 --> 00:01:16,240 Speaker 4: So Manus had an annual revenue of about one hundred 21 00:01:16,240 --> 00:01:20,720 Speaker 4: and twenty five million dollars earlier this year, and this 22 00:01:20,880 --> 00:01:24,040 Speaker 4: could also give Meta some more immediate return on its 23 00:01:24,080 --> 00:01:25,360 Speaker 4: AI spending. 24 00:01:25,240 --> 00:01:29,760 Speaker 1: Eighteen times revenue just extraordinary, but it's pocket change for them. 25 00:01:29,920 --> 00:01:34,720 Speaker 3: Imagine, dude, these guys bought WhatsApp. I know nineteen billion dollars. 26 00:01:34,760 --> 00:01:37,520 Speaker 3: I know that was like nineteen billion times revenue. I know, 27 00:01:37,560 --> 00:01:40,760 Speaker 3: exactly exactly right. Nobody cares. So this is a small deal. 28 00:01:41,120 --> 00:01:42,120 Speaker 3: What else do you have for us? 29 00:01:42,200 --> 00:01:45,520 Speaker 5: Yeah, so let's check Tesla. So we have Tesla. 30 00:01:45,640 --> 00:01:48,560 Speaker 4: Yeah, shares are slightly higher in pre market today. So 31 00:01:49,000 --> 00:01:53,600 Speaker 4: Tesla posted a compilation of what analysts expect from our 32 00:01:53,640 --> 00:01:57,560 Speaker 4: car deliveries. So and these numbers are more pessimistic versus 33 00:01:57,880 --> 00:01:59,360 Speaker 4: data compiled by Bloomberg. 34 00:01:59,400 --> 00:02:00,520 Speaker 5: So, for example, by. 35 00:02:00,400 --> 00:02:04,280 Speaker 4: Tesla's count analysts, on average, you expect that the company 36 00:02:04,280 --> 00:02:08,840 Speaker 4: will deliver slightly above four hundred and twenty two thousand 37 00:02:09,000 --> 00:02:12,760 Speaker 4: vehicles in the fourth quarter, which is down by fifteen 38 00:02:12,840 --> 00:02:18,760 Speaker 4: percent from a year earlier. And according to Bloomberg data, 39 00:02:19,200 --> 00:02:22,480 Speaker 4: that decline would be about ten percent. So again this 40 00:02:22,600 --> 00:02:25,880 Speaker 4: is more pessimistic compared to Bloomberg's data. And then, of 41 00:02:25,880 --> 00:02:28,280 Speaker 4: course we know the Tesla isn't paced to post second 42 00:02:28,360 --> 00:02:33,960 Speaker 4: consecutive decline in annual sales. So yeah, pretty pessimistic picture, 43 00:02:34,000 --> 00:02:35,880 Speaker 4: but we will see how it plays out. But the 44 00:02:35,919 --> 00:02:38,079 Speaker 4: stock still is still up on a. 45 00:02:38,040 --> 00:02:42,000 Speaker 1: Year getting Tesla no cares cars anymore, and he's he 46 00:02:42,120 --> 00:02:44,880 Speaker 1: being you know, on must as successfully diverted investor attention 47 00:02:45,320 --> 00:02:47,680 Speaker 1: away from the bending metal to more of the story 48 00:02:47,720 --> 00:02:48,280 Speaker 1: side of the game. 49 00:02:48,480 --> 00:02:51,440 Speaker 3: They could stop, they could stop producing cars. Who cares. 50 00:02:51,800 --> 00:02:54,720 Speaker 3: It's a one and a half trillion dollar company. If 51 00:02:54,760 --> 00:02:58,760 Speaker 3: you add Ford's market cap plus GM plus Toyota plus 52 00:02:58,800 --> 00:03:03,040 Speaker 3: Folkswagen plus f Ferra plus kodigs Egg plus you go, 53 00:03:03,560 --> 00:03:06,760 Speaker 3: like every single car maker in the world they don't 54 00:03:06,800 --> 00:03:07,839 Speaker 3: equal this market cap. 55 00:03:07,880 --> 00:03:09,639 Speaker 5: Still, We're going to talk to Craig Trudell about. 56 00:03:09,400 --> 00:03:11,160 Speaker 1: Tesla a little bit later. There we go, all right 57 00:03:11,880 --> 00:03:12,440 Speaker 1: any more. 58 00:03:12,639 --> 00:03:15,160 Speaker 4: Yes, so we know that futures are flat, but we 59 00:03:15,240 --> 00:03:17,680 Speaker 4: have lots of activity in commodities space. So, for example, 60 00:03:17,760 --> 00:03:21,000 Speaker 4: natural gas futures are up by seven percent US net 61 00:03:21,040 --> 00:03:24,840 Speaker 4: gas futures today and I'm looking at shares of companies 62 00:03:24,880 --> 00:03:25,840 Speaker 4: including EQT. 63 00:03:26,080 --> 00:03:29,520 Speaker 5: This is one of the largest US natural gas producer shares. 64 00:03:29,600 --> 00:03:32,200 Speaker 4: Our slightly hired a couple of reasons behind the movie 65 00:03:32,320 --> 00:03:35,520 Speaker 4: net Gas. So For example, we know that forecasters now 66 00:03:35,640 --> 00:03:40,000 Speaker 4: expect temperature in January will be colder than previously expected. 67 00:03:40,400 --> 00:03:43,680 Speaker 4: Then we have domestic stock piles of natural gas which 68 00:03:43,720 --> 00:03:47,040 Speaker 4: fell below five yar average. We have more demand from 69 00:03:47,200 --> 00:03:52,160 Speaker 4: LNG gas expert terminals along the Gulf coast, and we 70 00:03:52,240 --> 00:03:55,360 Speaker 4: see some short covering according to some traders, So lots 71 00:03:55,360 --> 00:03:57,040 Speaker 4: of bullishness in natural gas. 72 00:03:57,920 --> 00:04:01,960 Speaker 2: The Stock Mover's Report from Bloomberg Radio. Check back with 73 00:04:02,040 --> 00:04:04,600 Speaker 2: us throughout the day for the latest roundup of companies 74 00:04:04,680 --> 00:04:07,800 Speaker 2: making news on Wall Street and for the latest market 75 00:04:07,800 --> 00:04:12,280 Speaker 2: moving headlines. Listen to Bloomberg Radio Live, catch us on YouTube, 76 00:04:12,360 --> 00:04:15,880 Speaker 2: Bloomberg dot com, and on Applecarplay and Android Auto with 77 00:04:15,920 --> 00:04:17,400 Speaker 2: the Bloomberg Business app.