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 00:00:16,840 --> 00:00:20,079 Speaker 1: All right, I'm Carol Masser along with Nora Melinda here 5 00:00:20,400 --> 00:00:23,040 Speaker 1: on Bloomberg Businessweekdaily. We want to get into some of 6 00:00:23,079 --> 00:00:25,119 Speaker 1: the stocks on the move today. Here to do that 7 00:00:25,200 --> 00:00:28,080 Speaker 1: is Bloomberg News Deputy team leader for US Equities Jess 8 00:00:28,080 --> 00:00:31,600 Speaker 1: Metten in our studio. All right, good to have you here. 9 00:00:31,640 --> 00:00:33,240 Speaker 1: So let's start with Paycom. 10 00:00:33,240 --> 00:00:34,000 Speaker 3: What are we seeing? 11 00:00:34,080 --> 00:00:37,120 Speaker 4: So this is a software cloud company that works more 12 00:00:37,159 --> 00:00:40,120 Speaker 4: in the payroll and HR space, so some of its 13 00:00:40,240 --> 00:00:43,559 Speaker 4: rivals are Workday. So Paycom is in the S and 14 00:00:43,600 --> 00:00:47,280 Speaker 4: P five hundred. The ticker symbol is PAYC. So it 15 00:00:47,280 --> 00:00:50,240 Speaker 4: actually jumped as much as twelve percent earlier this morning, 16 00:00:50,280 --> 00:00:53,080 Speaker 4: gave up some of those gains, but still actually up 17 00:00:53,200 --> 00:00:55,720 Speaker 4: close to about four percent right now. So I wanted 18 00:00:55,720 --> 00:00:58,200 Speaker 4: to point that out just because it did boost its 19 00:00:58,320 --> 00:01:02,200 Speaker 4: full year revenue forecast. And this does tie to AI 20 00:01:02,400 --> 00:01:06,000 Speaker 4: because it was driven by artificial intelligence demands. So obviously 21 00:01:06,319 --> 00:01:08,319 Speaker 4: not just when you think of those tech and growth 22 00:01:08,319 --> 00:01:10,440 Speaker 4: companies when it's an AI story, but also when it 23 00:01:10,440 --> 00:01:14,280 Speaker 4: comes to payroll in HR software providers there, and I 24 00:01:14,319 --> 00:01:16,560 Speaker 4: wanted to point out too, because when you're looking at 25 00:01:16,560 --> 00:01:19,200 Speaker 4: that stock, it actually was trading around right now close 26 00:01:19,240 --> 00:01:21,479 Speaker 4: to two hundred and thirty one dollars. It got close 27 00:01:21,520 --> 00:01:25,080 Speaker 4: to resistance from a technical perspective around two forty three 28 00:01:25,480 --> 00:01:27,959 Speaker 4: earlier today, So that was actually dating back to its 29 00:01:28,000 --> 00:01:30,440 Speaker 4: December high. So that might be some of the reasons 30 00:01:30,440 --> 00:01:32,480 Speaker 4: why we saw it pulled back a little bit there. 31 00:01:32,560 --> 00:01:34,360 Speaker 4: But a in our function, if you want to look 32 00:01:34,360 --> 00:01:36,720 Speaker 4: at the cell side targets there there's four buys, fifteen 33 00:01:36,720 --> 00:01:37,640 Speaker 4: holes and zero cells. 34 00:01:37,680 --> 00:01:39,160 Speaker 3: Why I was about the number one gainer in the 35 00:01:39,200 --> 00:01:42,640 Speaker 3: S ANDP it why it was, Yes, it was and 36 00:01:42,680 --> 00:01:45,560 Speaker 3: so and now it's I had to talk to because 37 00:01:45,720 --> 00:01:49,280 Speaker 3: I didn't recognize the ticker. And again these software companies 38 00:01:49,320 --> 00:01:50,200 Speaker 3: that are outperformed. 39 00:01:50,480 --> 00:01:52,240 Speaker 4: It was added to the S and P five hundred 40 00:01:52,440 --> 00:01:54,120 Speaker 4: actually a little bit more than five years ago in 41 00:01:54,200 --> 00:01:56,800 Speaker 4: January of twenty twenty. So it is indeed in the 42 00:01:56,840 --> 00:01:59,960 Speaker 4: major indecks of about fourteen percent so far this year. 43 00:02:00,400 --> 00:02:02,000 Speaker 4: What else are you looking at? So I'm going to 44 00:02:02,040 --> 00:02:04,639 Speaker 4: move over to the decliners today. It's the two worst 45 00:02:04,720 --> 00:02:06,800 Speaker 4: performers in the S and P five hundred. So we'll 46 00:02:06,840 --> 00:02:11,160 Speaker 4: start off first with Fortinet FTTNT is this ticker symbol 47 00:02:11,200 --> 00:02:14,440 Speaker 4: on this down twenty five percent, so this would be 48 00:02:14,760 --> 00:02:16,639 Speaker 4: on pace if it holds through the clothes. It's worst 49 00:02:16,720 --> 00:02:20,600 Speaker 4: day since November two thousand and nine, so when you're 50 00:02:20,639 --> 00:02:24,360 Speaker 4: thinking about cybersecurity, and also some of its peers really 51 00:02:24,760 --> 00:02:28,760 Speaker 4: balche no exactly so to go that far back, and 52 00:02:28,800 --> 00:02:31,320 Speaker 4: it's the worst performer in the NAZAQ one hundred as well. 53 00:02:31,360 --> 00:02:34,600 Speaker 4: So it gave an update to its firewall refresh cycle. 54 00:02:34,639 --> 00:02:38,239 Speaker 4: The problem was it wasn't as good as what cell 55 00:02:38,360 --> 00:02:42,560 Speaker 4: side strategists, shareholders and investors were anticipating. So really it 56 00:02:42,600 --> 00:02:44,720 Speaker 4: was supposed to be this opportunity to update or renew 57 00:02:44,760 --> 00:02:48,840 Speaker 4: that type of IT infrastructure, but that unfortunately the product 58 00:02:48,840 --> 00:02:51,160 Speaker 4: growth the estimates were declining there and so that's why 59 00:02:51,160 --> 00:02:53,239 Speaker 4: you're seeing it getting pummeled on the cell side though, 60 00:02:53,480 --> 00:02:56,880 Speaker 4: William Blair analysts saying they're not seeing strong product revenue 61 00:02:56,919 --> 00:02:59,960 Speaker 4: growth and billings materialize right now. And then of course 62 00:03:00,240 --> 00:03:03,120 Speaker 4: Bloomberg Intelligence Zone man Deep Sing was pouring out as 63 00:03:03,120 --> 00:03:06,080 Speaker 4: well that fortnete is unlikely to see any big profit 64 00:03:06,200 --> 00:03:09,160 Speaker 4: lived from its product refresh cycle. So you all are 65 00:03:09,200 --> 00:03:11,520 Speaker 4: seeing those piers like data dog. Of course, one of 66 00:03:11,520 --> 00:03:13,600 Speaker 4: Tom King's favorite d dog is the ticker symbol and 67 00:03:13,639 --> 00:03:16,480 Speaker 4: that down more than four percent. And then also looking 68 00:03:16,480 --> 00:03:20,280 Speaker 4: at Palo Alto Networks pa n W is the ticker 69 00:03:20,600 --> 00:03:21,679 Speaker 4: down four percent as well. 70 00:03:21,760 --> 00:03:24,440 Speaker 1: Let's talk Eli Lily ticker l wyse, I mean. 71 00:03:24,480 --> 00:03:27,240 Speaker 4: Her green blaker. 72 00:03:27,440 --> 00:03:29,000 Speaker 1: I know, I know, there she goes. 73 00:03:29,280 --> 00:03:31,679 Speaker 4: I know, I still unfortunately poured the corel of lotter 74 00:03:31,760 --> 00:03:33,520 Speaker 4: on it, but I had to point out because. 75 00:03:33,240 --> 00:03:37,560 Speaker 1: It's such a tear a year after year, but a 76 00:03:37,560 --> 00:03:38,440 Speaker 1: different tone today. 77 00:03:38,480 --> 00:03:40,560 Speaker 4: And this is the second worst performer in the S 78 00:03:40,600 --> 00:03:43,720 Speaker 4: and P five hundred before, behind a Fortnite. So when 79 00:03:43,720 --> 00:03:46,240 Speaker 4: you're looking at this stock, the ticker symbol ll Y 80 00:03:46,360 --> 00:03:48,880 Speaker 4: down fourteen percent on pace and I had a double 81 00:03:49,000 --> 00:03:51,320 Speaker 4: check this on piece of its worst day since August 82 00:03:51,320 --> 00:03:54,520 Speaker 4: two thousand. Is pretty wild there. So on the flip 83 00:03:54,560 --> 00:03:56,640 Speaker 4: side of that, if you look at its rival Novo 84 00:03:56,760 --> 00:03:59,880 Speaker 4: nordis if the US listed shares here, nvos the tickers 85 00:03:59,880 --> 00:04:02,360 Speaker 4: and actually up seven percent because they're going to benefit 86 00:04:02,400 --> 00:04:05,320 Speaker 4: from this. So if you're looking at Eli Lilly, of 87 00:04:05,360 --> 00:04:09,400 Speaker 4: course it's outlook for twenty twenty five top quarterly estimates. 88 00:04:09,400 --> 00:04:10,920 Speaker 4: If you're looking at those types of drugs that we 89 00:04:10,960 --> 00:04:13,720 Speaker 4: talk about so much with Montero and zep Bound, those 90 00:04:13,720 --> 00:04:16,440 Speaker 4: sales are actually soaring. But unfortunately it was this study 91 00:04:16,480 --> 00:04:19,359 Speaker 4: that they were doing that overshadowed some of the optimism 92 00:04:19,440 --> 00:04:22,359 Speaker 4: when it comes to earnings. So it's experimental pill that 93 00:04:22,480 --> 00:04:26,240 Speaker 4: helped patients actually shed roughly about eleven percent of their 94 00:04:26,279 --> 00:04:28,560 Speaker 4: body weight in a late stage study. It just wasn't 95 00:04:28,560 --> 00:04:31,760 Speaker 4: as good and as close to what its rival Novodortis 96 00:04:31,760 --> 00:04:33,920 Speaker 4: had done. That's why you ended up seeing that pumbled. 97 00:04:33,920 --> 00:04:35,560 Speaker 4: So you're seeing those two stocks diverge and go in 98 00:04:35,560 --> 00:04:37,760 Speaker 4: different directions from needles to pills. 99 00:04:37,920 --> 00:04:40,800 Speaker 3: Right, that's the new transition they're hoping. 100 00:04:40,839 --> 00:04:43,760 Speaker 1: They're hopefully, you know, those having its own problems as well. 101 00:04:43,839 --> 00:04:46,400 Speaker 1: I mean, it's just as we kind of transition through. 102 00:04:47,600 --> 00:04:51,600 Speaker 2: The stock mover's report from Bloomberg Radio. 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