1 00:00:02,520 --> 00:00:07,360 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,520 --> 00:00:12,440 Speaker 2: The Stock Mover's Report, your roundup of companies making moves 3 00:00:12,440 --> 00:00:15,880 Speaker 2: in the stock market, harnessing the power of Bloomberg Data. 4 00:00:16,560 --> 00:00:19,360 Speaker 1: I'm Carol Masser along with Tim Stanovich. Let's get to 5 00:00:19,400 --> 00:00:21,920 Speaker 1: some stocks and move on this Monday. Bloomberg Equities reporter 6 00:00:21,960 --> 00:00:25,280 Speaker 1: Avalon Pernel is in the house with us, and she's 7 00:00:25,280 --> 00:00:26,280 Speaker 1: going to start with the tech name. 8 00:00:26,360 --> 00:00:28,160 Speaker 2: Hello, Hello, I sure am Paulo. 9 00:00:28,240 --> 00:00:32,600 Speaker 3: Alto network setsticker PANW closed up about five percent today 10 00:00:32,640 --> 00:00:35,400 Speaker 3: for its biggest sleep since April. That's after its CEO 11 00:00:35,479 --> 00:00:38,280 Speaker 3: decided to buy about ten million dollars in shares some 12 00:00:38,400 --> 00:00:41,400 Speaker 3: insider buying. Oh yeah, oh yeah, And Baird says that 13 00:00:41,400 --> 00:00:43,560 Speaker 3: they are seeing this as a very high signal vote 14 00:00:43,600 --> 00:00:46,319 Speaker 3: of confidence in a market that's been over rotating on 15 00:00:46,479 --> 00:00:49,840 Speaker 3: AI headlines, which we already know. Software has been very 16 00:00:49,880 --> 00:00:54,840 Speaker 3: sensitive to anything in AI related trading, and so yeah, 17 00:00:54,920 --> 00:00:57,720 Speaker 3: it brought at least a little bit of positivity to 18 00:00:57,760 --> 00:00:58,400 Speaker 3: the software space. 19 00:00:58,360 --> 00:00:59,880 Speaker 1: It's down sixteen percent year today. 20 00:00:59,720 --> 00:01:02,640 Speaker 4: Correct sounds down thirty percent from buys in October. 21 00:01:02,800 --> 00:01:05,040 Speaker 1: Hate to be a bummer, but right, but that's that's. 22 00:01:04,880 --> 00:01:07,920 Speaker 4: The AI question or the AI story is like, what's 23 00:01:07,959 --> 00:01:13,160 Speaker 4: the effect of you know AI, of the AI revolution 24 00:01:13,319 --> 00:01:15,240 Speaker 4: on a software company like Palo Alton. 25 00:01:15,200 --> 00:01:19,800 Speaker 1: And their infrastructure, their security, their you know, data applicate. 26 00:01:19,920 --> 00:01:21,959 Speaker 1: Like yeah, so that's they're in the nitty gritty of it, 27 00:01:22,040 --> 00:01:25,720 Speaker 1: but you know, plays into that whole bigger picture where 28 00:01:25,720 --> 00:01:26,600 Speaker 1: shall we go next. 29 00:01:26,840 --> 00:01:30,319 Speaker 3: Cisco ticker s y Y fell fifteen percent at the 30 00:01:30,319 --> 00:01:33,200 Speaker 3: closing BIL for its worst one day drop since twenty twenty. 31 00:01:33,480 --> 00:01:35,679 Speaker 3: That's after the food distributor said that it plans to 32 00:01:35,720 --> 00:01:39,600 Speaker 3: acquire Jetro restaurant depot for about twenty nine billion dollars. 33 00:01:39,840 --> 00:01:42,199 Speaker 3: Important to note that investors were not really happy about 34 00:01:42,200 --> 00:01:45,000 Speaker 3: how much debt was related to this deal. They're planning 35 00:01:45,040 --> 00:01:47,520 Speaker 3: to raise about twenty one billion dollars in debt to 36 00:01:47,600 --> 00:01:51,160 Speaker 3: fund the acquisition. Definitely is a lot, and the deal 37 00:01:51,280 --> 00:01:54,440 Speaker 3: will create one of the largest food distributors in the country. 38 00:01:55,080 --> 00:01:57,840 Speaker 3: But Wells Fargo is writing that they believe it's overdion. 39 00:01:57,840 --> 00:02:00,400 Speaker 1: Ah, did they talk about whether or not like airline 40 00:02:00,400 --> 00:02:01,360 Speaker 1: food gets better. 41 00:02:01,920 --> 00:02:05,680 Speaker 4: That's onclear well The market cap as of now is 42 00:02:05,720 --> 00:02:09,440 Speaker 4: thirty three point one billion dollars for thirty three point 43 00:02:09,480 --> 00:02:13,560 Speaker 4: two billion dollars for Cisco Corporation. So this is a 44 00:02:13,560 --> 00:02:14,560 Speaker 4: pretty big acquisition. 45 00:02:14,760 --> 00:02:18,320 Speaker 1: Is there no anti trust concerns? Because these are two 46 00:02:18,320 --> 00:02:20,919 Speaker 1: big companies like getting together. And I'm not quite sure 47 00:02:20,919 --> 00:02:24,200 Speaker 1: who else plays in the space because they do it 48 00:02:24,240 --> 00:02:26,600 Speaker 1: for rest. Really they do it airlines like lots of 49 00:02:26,600 --> 00:02:27,119 Speaker 1: different things. 50 00:02:27,120 --> 00:02:27,800 Speaker 4: I'm just curious. 51 00:02:27,919 --> 00:02:31,480 Speaker 3: Restaurants, Yeah, random grocery stores, you know, et cetera. Very 52 00:02:31,520 --> 00:02:33,680 Speaker 3: like a lot of different places. I will say it 53 00:02:33,720 --> 00:02:36,160 Speaker 3: wasn't really mentioned in notes, but I would also be 54 00:02:36,160 --> 00:02:37,160 Speaker 3: something I would ask as well. 55 00:02:37,200 --> 00:02:39,040 Speaker 1: I didn't see it anywhere either, so it's kind of 56 00:02:39,040 --> 00:02:42,320 Speaker 1: interesting to see. Yeah, all right, so it's out there. 57 00:02:42,520 --> 00:02:44,200 Speaker 1: You didn't answer where our airline food is going to 58 00:02:44,280 --> 00:02:44,639 Speaker 1: get better? 59 00:02:44,960 --> 00:02:45,400 Speaker 4: I do? 60 00:02:47,120 --> 00:02:49,520 Speaker 1: Now, what do we do when we're running for a plane, 61 00:02:49,560 --> 00:02:51,799 Speaker 1: like when we're work and we're traveling together, Well, like 62 00:02:51,960 --> 00:02:53,840 Speaker 1: gott to get some food before we get on the plane. 63 00:02:53,880 --> 00:02:55,600 Speaker 4: Sometimes sometimes I'll get the food. 64 00:02:56,160 --> 00:02:59,880 Speaker 1: No, you always will buy a meal like inhale it, 65 00:03:00,080 --> 00:03:02,520 Speaker 1: eat it, and then we get on the plane and 66 00:03:02,560 --> 00:03:04,520 Speaker 1: I'm like, you know, snuggling into my little blanket and 67 00:03:04,520 --> 00:03:06,840 Speaker 1: getting ready to like watch a movie or whatever, and 68 00:03:06,880 --> 00:03:09,680 Speaker 1: then you're like like are you eating again? Yeah? I 69 00:03:09,800 --> 00:03:12,639 Speaker 1: kind of done with that though a lot of times 70 00:03:13,000 --> 00:03:15,680 Speaker 1: they say, donat on an airplane, you're gulping air and 71 00:03:15,720 --> 00:03:18,080 Speaker 1: it creates tummy shoes and things. 72 00:03:18,160 --> 00:03:20,880 Speaker 4: I'm not doing that. That's not what I'm thinking. I'm 73 00:03:20,880 --> 00:03:25,639 Speaker 4: thinking it's just the sodium content in that food. I'm 74 00:03:25,639 --> 00:03:28,079 Speaker 4: always so thirsty after and I'm like, yeah, it's so 75 00:03:28,400 --> 00:03:31,400 Speaker 4: you know, it's so high and salt, you know, Performance 76 00:03:31,440 --> 00:03:33,600 Speaker 4: Food Group, Gordon's Food Service or other. 77 00:03:33,840 --> 00:03:36,280 Speaker 1: Oh, so there are a few others, all right, I 78 00:03:36,320 --> 00:03:38,400 Speaker 1: have no easy segue, so let's get to it. Fanny 79 00:03:38,400 --> 00:03:39,120 Speaker 1: May and Freddy Mack. 80 00:03:39,280 --> 00:03:43,520 Speaker 3: Yes, Fanny May ticker FNMA and Freddie Mac tick her FMCC. 81 00:03:43,960 --> 00:03:46,000 Speaker 3: Both of them were on a tear today. Fanny Mack 82 00:03:46,120 --> 00:03:48,280 Speaker 3: jumped fifty one percent into the close and Freddy Mack 83 00:03:48,360 --> 00:03:52,520 Speaker 3: was up forty seven percent, both notching very very high. 84 00:03:52,640 --> 00:03:54,160 Speaker 3: I mean, Fanny May was up for its best day 85 00:03:54,160 --> 00:03:57,760 Speaker 3: since two thousand and nine. That's after Pershing squares Bill 86 00:03:57,760 --> 00:04:01,280 Speaker 3: Ackman called them stupidly cheap in a post on x 87 00:04:01,360 --> 00:04:03,800 Speaker 3: We already know. Once he says something about those stocks, 88 00:04:03,840 --> 00:04:07,040 Speaker 3: they tend to go up quite a bit. Keep in mind, 89 00:04:07,080 --> 00:04:09,960 Speaker 3: both of these trade, you know, over the counter, so 90 00:04:10,080 --> 00:04:13,320 Speaker 3: they're often quite volatile, but still a big move and 91 00:04:13,440 --> 00:04:14,680 Speaker 3: he owns them. 92 00:04:15,200 --> 00:04:16,280 Speaker 4: True, he doesn't have a stay. 93 00:04:17,000 --> 00:04:19,120 Speaker 1: I think he was as of last year. Wasn't he 94 00:04:19,160 --> 00:04:22,279 Speaker 1: like the biggest shareholder or something like that in these names. 95 00:04:22,320 --> 00:04:23,400 Speaker 1: I'm just pulling it up here. 96 00:04:26,120 --> 00:04:29,280 Speaker 4: Yeah, Pershing Square in Fanny May, he's the number of 97 00:04:29,400 --> 00:04:32,520 Speaker 4: Pershing Square Capital Management LP is the number one holder. 98 00:04:32,320 --> 00:04:34,840 Speaker 1: Single biggest private sector shareholder of the two companies at 99 00:04:34,839 --> 00:04:38,080 Speaker 1: the end of last year. Yeah. Okay, it's good stuff though, 100 00:04:38,200 --> 00:04:40,680 Speaker 1: but big moves, right, you definitely saw them. She still 101 00:04:40,680 --> 00:04:42,280 Speaker 1: did an answer. If you're herline food, it's going to 102 00:04:42,360 --> 00:04:42,720 Speaker 1: get better. 103 00:04:45,040 --> 00:04:49,040 Speaker 2: The Stock Mover's Report from Bloomberg Radio. Check back with 104 00:04:49,120 --> 00:04:51,720 Speaker 2: us throughout the day for the latest roundup of companies 105 00:04:51,800 --> 00:04:54,880 Speaker 2: making news on Wall Street and for the latest market 106 00:04:54,920 --> 00:04:59,400 Speaker 2: moving headlines. Listen to Bloomberg Radio Live, catch us on YouTube, 107 00:04:59,440 --> 00:05:02,960 Speaker 2: Bloomberg dot com, and on Applecarplay and Android Auto with 108 00:05:03,040 --> 00:05:09,279 Speaker 2: the Bloomberg Business app. Mm hmm