1 00:00:02,520 --> 00:00:07,000 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 00:00:12,480 --> 00:00:15,880 Speaker 2: in the stock market, harnessing the power of Bloomberg Data. 4 00:00:16,400 --> 00:00:17,960 Speaker 1: Let's take a look at some stocks on the move today. 5 00:00:18,000 --> 00:00:20,360 Speaker 1: I'm Tim Stanobek along with Carol Masser, were joined by 6 00:00:20,360 --> 00:00:23,439 Speaker 1: Bloomberg News Equities reporter and Deputy team leader for US 7 00:00:23,520 --> 00:00:26,279 Speaker 1: Equities Carmen Ryanikey. A lot of companies reported in the 8 00:00:26,320 --> 00:00:28,960 Speaker 1: after hours, and we're seeing some pretty pronounced moves in 9 00:00:29,120 --> 00:00:29,720 Speaker 1: the market. 10 00:00:29,800 --> 00:00:31,640 Speaker 3: What do you see, Yeah, let's jump in. So the 11 00:00:31,640 --> 00:00:35,400 Speaker 3: first one that I'm looking at is lift ticker lyft 12 00:00:35,560 --> 00:00:38,920 Speaker 3: so shares are down about fifteen percent right now. So 13 00:00:39,720 --> 00:00:43,120 Speaker 3: the company reported earnings that included a surprise one hundred 14 00:00:43,120 --> 00:00:46,800 Speaker 3: and eighty five million operating loss in the fourth quarter. 15 00:00:47,320 --> 00:00:50,360 Speaker 3: It also is issued a disappointing earnings forecast for the 16 00:00:50,360 --> 00:00:52,840 Speaker 3: start of the year. This is really just a sign 17 00:00:52,880 --> 00:00:55,880 Speaker 3: that some of the global expansion and new product offerings 18 00:00:55,880 --> 00:00:59,560 Speaker 3: that it's had may weigh on profits in the short term. 19 00:01:00,240 --> 00:01:02,800 Speaker 3: Also important to point out that it comes after sort 20 00:01:02,800 --> 00:01:06,080 Speaker 3: of a mixed report from Uber last week, So we're 21 00:01:06,120 --> 00:01:10,160 Speaker 3: really seeing shares fall off here, especially and Yeah, that's 22 00:01:10,160 --> 00:01:11,559 Speaker 3: surprise operating loss. 23 00:01:11,720 --> 00:01:16,840 Speaker 1: Any news on getting the city bike docks shoveled. 24 00:01:17,840 --> 00:01:20,240 Speaker 3: I wish they had news on that. I do email 25 00:01:20,319 --> 00:01:22,520 Speaker 3: like every time there's not a city bike at my dock, 26 00:01:22,600 --> 00:01:25,440 Speaker 3: and it's it's not getting fixed that I have. 27 00:01:25,640 --> 00:01:28,080 Speaker 1: Yeah, so Lift had a blog post last week they 28 00:01:28,120 --> 00:01:29,679 Speaker 1: said they would come out. They've gotten a lot of 29 00:01:29,680 --> 00:01:31,960 Speaker 1: flak about this because like you go to a dock 30 00:01:32,040 --> 00:01:34,240 Speaker 1: and it's says it has like twelve bikes, but you 31 00:01:34,240 --> 00:01:36,640 Speaker 1: can't access any of the bikes because they're like frozen in. 32 00:01:36,680 --> 00:01:40,240 Speaker 1: They're frozen in, and per the guidelines that Lyft has, 33 00:01:40,319 --> 00:01:44,600 Speaker 1: they're responsible for clearing the city the city bike from snow. 34 00:01:45,520 --> 00:01:47,720 Speaker 1: They did say I got a notice on my phone 35 00:01:47,800 --> 00:01:50,080 Speaker 1: last week. They said they'd have it done by early 36 00:01:50,160 --> 00:01:50,600 Speaker 1: this week. 37 00:01:50,760 --> 00:01:56,080 Speaker 4: So it's still tomorrow's Wednesday. Then it's too icy to 38 00:01:56,120 --> 00:01:58,600 Speaker 4: be on a bike right now. You'd be on a 39 00:01:58,600 --> 00:01:59,200 Speaker 4: bike whendn't you. 40 00:01:59,320 --> 00:02:01,560 Speaker 1: I was able to find a bike in last week, 41 00:02:01,640 --> 00:02:05,120 Speaker 1: but only I only did it because the subways were. 42 00:02:04,960 --> 00:02:08,359 Speaker 4: Den Ugh, it's it's been it's been tough commuting all right. 43 00:02:08,440 --> 00:02:11,959 Speaker 4: From lifting the aftermarket down a lot, like fourteen percent, 44 00:02:12,000 --> 00:02:14,440 Speaker 4: I think it is to robin Hood. 45 00:02:14,840 --> 00:02:17,960 Speaker 3: Yeah, so this one's also slipping down about six percent 46 00:02:18,040 --> 00:02:21,920 Speaker 3: in after hours ticker hood. So, I mean this should 47 00:02:21,960 --> 00:02:24,280 Speaker 3: come as no surprise that big sell off in crypto, 48 00:02:24,760 --> 00:02:27,359 Speaker 3: the weakness that we saw in the fourth quarter impacted 49 00:02:27,720 --> 00:02:32,320 Speaker 3: Robinhood's earnings, so their net income tumbled thirty four percent. 50 00:02:32,720 --> 00:02:37,120 Speaker 3: It's pretty big, and specifically revenue from crypto trading dropped 51 00:02:37,200 --> 00:02:40,120 Speaker 3: thirty eight percent, only two hundred and twenty one million 52 00:02:40,160 --> 00:02:43,120 Speaker 3: dollars that after the route and digital asset prices, So 53 00:02:43,440 --> 00:02:46,880 Speaker 3: that's that's really what's weighing on the shares here, also 54 00:02:47,080 --> 00:02:50,359 Speaker 3: extending their slide from the beginning of the year, so 55 00:02:50,400 --> 00:02:52,880 Speaker 3: it was down more than twenty four percent from the 56 00:02:52,880 --> 00:02:55,760 Speaker 3: start of the year at close today. 57 00:02:56,280 --> 00:03:01,079 Speaker 4: Hmm. Yeah, I mean, I don't know, interesting story, right, 58 00:03:01,120 --> 00:03:02,600 Speaker 4: it's been on a tear for a while. 59 00:03:02,720 --> 00:03:06,280 Speaker 1: And yeah, maybe I want to hear from them about 60 00:03:06,560 --> 00:03:10,080 Speaker 1: do you want which part prediction markets? As Neil SIPs 61 00:03:10,200 --> 00:03:12,760 Speaker 1: from Bloomberg Intelligence said, a lot of their prediction markets 62 00:03:12,840 --> 00:03:16,120 Speaker 1: are sports betting or sports predictions. I want to make 63 00:03:16,120 --> 00:03:18,240 Speaker 1: sure I get the terminology right. So curious to hear 64 00:03:18,240 --> 00:03:19,000 Speaker 1: from that company. 65 00:03:19,200 --> 00:03:20,160 Speaker 2: But they did on the call. 66 00:03:20,320 --> 00:03:22,720 Speaker 4: They did the right then they buy a is it 67 00:03:22,919 --> 00:03:25,760 Speaker 4: Georgia State leder X? Is that part of that to 68 00:03:25,840 --> 00:03:28,720 Speaker 4: do that? That's different, right, Like they really are kind 69 00:03:28,720 --> 00:03:30,160 Speaker 4: of building out the business. 70 00:03:29,800 --> 00:03:33,560 Speaker 1: Right, Sorry that one, Oh you're talking about the Susquehanna. Yeah, yeah, 71 00:03:33,560 --> 00:03:35,120 Speaker 1: I think that is that does have to do with 72 00:03:35,440 --> 00:03:36,200 Speaker 1: prediction markets. 73 00:03:36,280 --> 00:03:40,040 Speaker 4: Yeah, okay, so yeah, interesting. Sorry, we're just like you know, 74 00:03:40,040 --> 00:03:41,480 Speaker 4: going through it too. There's a while, a lot of 75 00:03:41,520 --> 00:03:43,960 Speaker 4: moving parts. Let's go to Mattel. 76 00:03:44,280 --> 00:03:47,800 Speaker 3: Yeah, so Mattel ticker m at, the maker of Barbie 77 00:03:47,840 --> 00:03:49,600 Speaker 3: and hot wheels. So there are actually a few things 78 00:03:49,600 --> 00:03:51,520 Speaker 3: going on here. The stock is down a lot, twenty 79 00:03:51,560 --> 00:03:54,120 Speaker 3: five percent right now in after I was training, big 80 00:03:54,480 --> 00:03:57,200 Speaker 3: big drop for shares of Mattel. So, first of all, 81 00:03:57,240 --> 00:04:00,960 Speaker 3: I did report earnings that you know, fell below walls expectations, 82 00:04:01,040 --> 00:04:04,360 Speaker 3: kind of showing that the hopes of sort of a 83 00:04:04,400 --> 00:04:07,839 Speaker 3: bump in sales around Christmas didn't happen. But they also 84 00:04:07,880 --> 00:04:10,800 Speaker 3: had news out that they're buying partner net uses Steak 85 00:04:10,840 --> 00:04:13,400 Speaker 3: in a joint venture to accelerate mobile gaming. 86 00:04:15,520 --> 00:04:19,560 Speaker 2: The Stock Movers Report from Bloomberg Radio. 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