1 00:00:00,080 --> 00:00:09,960 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, The Stock Movers Report, 2 00:00:10,280 --> 00:00:13,440 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 00:00:16,480 --> 00:00:17,439 Speaker 2: Let's take a look at. 5 00:00:17,360 --> 00:00:21,279 Speaker 3: Some stocks in the move today, John Tucker looking at 6 00:00:21,400 --> 00:00:23,479 Speaker 3: some of the victims of the equity market. 7 00:00:23,720 --> 00:00:27,440 Speaker 2: Yeah, and more importantly, is that special person in your 8 00:00:27,480 --> 00:00:31,040 Speaker 2: life watching Hallmark movies? You can probably find that out 9 00:00:31,200 --> 00:00:37,320 Speaker 2: bubble beating expectations, the average revenue prepaying user increase. Shaff 10 00:00:37,400 --> 00:00:40,320 Speaker 2: Frosen after our trading. I don't know, I'm laughing. And 11 00:00:40,400 --> 00:00:45,120 Speaker 2: they've introduced this is the intersection of dating and AI, 12 00:00:45,320 --> 00:00:49,199 Speaker 2: a new odin tool. It's called dates. So here's how 13 00:00:49,240 --> 00:00:52,320 Speaker 2: it works. Just stop, I'm going to go through this. 14 00:00:52,600 --> 00:00:55,400 Speaker 2: You can take notes. Starts with a private, in depth 15 00:00:55,400 --> 00:01:02,040 Speaker 2: conversation that explores broad topics like values, relationship goals, communication style, 16 00:01:02,280 --> 00:01:06,840 Speaker 2: lifestyle and dating intentions. Now, when it identifies two people 17 00:01:06,840 --> 00:01:10,240 Speaker 2: who are aligned in these areas, both are notified with 18 00:01:10,280 --> 00:01:15,000 Speaker 2: a summary explaining why they're a strong match. I just 19 00:01:15,040 --> 00:01:17,040 Speaker 2: go for the old way, just go out to a bar. 20 00:01:18,280 --> 00:01:21,200 Speaker 2: Well chats with the AI assistant private. Nothing's going to 21 00:01:21,200 --> 00:01:24,840 Speaker 2: be shared on the public profile. Members can also choose 22 00:01:24,840 --> 00:01:27,840 Speaker 2: what topics of their conversations can be shared with a 23 00:01:27,959 --> 00:01:32,840 Speaker 2: potential batch date is power by Bumble's own AI, So they're. 24 00:01:32,680 --> 00:01:36,400 Speaker 4: Going deeper into sort of the psyche of the person 25 00:01:36,440 --> 00:01:38,520 Speaker 4: looking for the date. I guess talking to them about 26 00:01:38,520 --> 00:01:42,080 Speaker 4: their wants, needs, emotions. Is this where we're at one? 27 00:01:42,120 --> 00:01:45,600 Speaker 3: So like my dating career, the stunt's going from seventy 28 00:01:45,680 --> 00:01:46,080 Speaker 3: to two? 29 00:01:47,200 --> 00:01:51,920 Speaker 2: Am I right? Seventy to two? Yeah, it's been next next, 30 00:01:53,000 --> 00:01:55,280 Speaker 2: you know, you go to these stores. There's one up 31 00:01:55,320 --> 00:01:57,760 Speaker 2: in west Chester, ru into it's a dump, and you 32 00:01:57,800 --> 00:02:00,200 Speaker 2: go to one in Florida it's like a palace. What's 33 00:02:00,200 --> 00:02:00,880 Speaker 2: the Dollar General? 34 00:02:00,920 --> 00:02:01,880 Speaker 3: Oh? Dollar General. 35 00:02:02,520 --> 00:02:04,920 Speaker 2: I don't know why that is, but they're forecasting sales 36 00:02:04,960 --> 00:02:09,160 Speaker 2: in line with analyst inestiments, slowing momentum for the company 37 00:02:09,200 --> 00:02:12,639 Speaker 2: that had routinely exceeded Wall Street expect They keep. 38 00:02:12,480 --> 00:02:14,240 Speaker 4: Looking at the dollar Generals of the world as like 39 00:02:14,240 --> 00:02:17,440 Speaker 4: a barometer of where the consumer's at, right, aren't they 40 00:02:17,480 --> 00:02:19,960 Speaker 4: say they saw more high end consumers. 41 00:02:19,960 --> 00:02:23,079 Speaker 2: Say, it's not necessarily a barometer for the lower part 42 00:02:23,120 --> 00:02:25,799 Speaker 2: of the k. But you know, I think. 43 00:02:25,680 --> 00:02:29,200 Speaker 4: People who higher earners are shopping at the dollar generals 44 00:02:29,240 --> 00:02:30,799 Speaker 4: because they're looking for a bargain too. 45 00:02:31,080 --> 00:02:34,480 Speaker 2: Anyway, This outlook is considered conservative, with the company seeing 46 00:02:34,520 --> 00:02:39,480 Speaker 2: lower sales growth than last year. Shares the retailer they 47 00:02:39,520 --> 00:02:42,560 Speaker 2: fell in pre market trading dollar general. They's been benefiting 48 00:02:42,560 --> 00:02:46,040 Speaker 2: from customers seeking deals lower prices. That you said, amid 49 00:02:46,120 --> 00:02:50,120 Speaker 2: the stress of the chain even attracted more high income shops. 50 00:02:50,400 --> 00:02:52,400 Speaker 2: Bingo that boosted the result. 51 00:02:52,560 --> 00:02:55,480 Speaker 4: Got to listen to me, John, twenty twenty. 52 00:02:55,200 --> 00:03:00,560 Speaker 2: Thousand locations, reporting of four point three percent gains the 53 00:03:00,639 --> 00:03:05,519 Speaker 2: same store as sales. One enough arguing what is vet bill? 54 00:03:05,600 --> 00:03:07,440 Speaker 2: What do you pay for vet bill to get groomed 55 00:03:07,440 --> 00:03:08,000 Speaker 2: and all that stuff? 56 00:03:08,080 --> 00:03:10,240 Speaker 3: Oh, we're due, We got to get the summer puppy 57 00:03:10,240 --> 00:03:14,040 Speaker 3: cut going. They're both madded, they're miserable, and that I 58 00:03:14,080 --> 00:03:16,600 Speaker 3: get a call from mayor Mom Damie thanking me for 59 00:03:16,639 --> 00:03:17,920 Speaker 3: moving the tax needle. 60 00:03:18,320 --> 00:03:22,320 Speaker 2: A New York so pet Co woof the ticker symbol, 61 00:03:22,480 --> 00:03:25,040 Speaker 2: spent last year overhauling the store of selection. They say 62 00:03:25,040 --> 00:03:28,160 Speaker 2: they expect a return to positive same store sales this year. 63 00:03:30,080 --> 00:03:32,919 Speaker 2: Pet owners grappling with the rising costs of pet care 64 00:03:33,480 --> 00:03:37,000 Speaker 2: and Wall Street worries about the impact of tariffs on retailers. 65 00:03:37,280 --> 00:03:41,920 Speaker 2: Most importantly, I think was the call with CEO Joel Anderson. 66 00:03:42,320 --> 00:03:45,120 Speaker 2: He said the company is adding to its selection of 67 00:03:45,200 --> 00:03:48,480 Speaker 2: pets it sells in its stores. In particular, he said 68 00:03:48,480 --> 00:03:53,440 Speaker 2: he saw spiders like Tarantula's as quote, a newer pet 69 00:03:53,560 --> 00:03:54,960 Speaker 2: trend in the United. 70 00:03:55,240 --> 00:03:56,160 Speaker 4: Let's looking for it. 71 00:03:56,240 --> 00:03:59,000 Speaker 2: Let's get a tarantula, So anyway. 72 00:03:58,720 --> 00:03:59,960 Speaker 3: Can I editorialize it? 73 00:04:00,160 --> 00:04:02,800 Speaker 2: Chewy is the single easiest. 74 00:04:02,360 --> 00:04:06,920 Speaker 3: Website that takes money from me. Chew You buy every 75 00:04:06,960 --> 00:04:11,160 Speaker 3: website out there, study how Chewy does it. It's just 76 00:04:11,360 --> 00:04:15,080 Speaker 3: amazing how easy it is to give them one hundred 77 00:04:15,120 --> 00:04:15,880 Speaker 3: and fifty dollars. 78 00:04:15,960 --> 00:04:17,920 Speaker 4: Oh, I bet. But people look, even when things are 79 00:04:17,960 --> 00:04:20,560 Speaker 4: down and out, people spend on their pets. 80 00:04:21,080 --> 00:04:23,279 Speaker 2: I do more and more. I see people going to 81 00:04:23,320 --> 00:04:26,760 Speaker 2: Penco for using the vet services. It's not cheap. And 82 00:04:26,800 --> 00:04:29,080 Speaker 2: I got a tip from a neighbor. Go to the 83 00:04:30,640 --> 00:04:33,880 Speaker 2: shelter and they'll do vet services even. 84 00:04:33,760 --> 00:04:34,840 Speaker 4: If you didn't get your pet from you. 85 00:04:34,960 --> 00:04:35,159 Speaker 1: Yeah. 86 00:04:35,720 --> 00:04:36,640 Speaker 2: I found that interesting. 87 00:04:37,560 --> 00:04:41,600 Speaker 1: This stock movers report from Bloomberg Radio. 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