1 00:00:02,520 --> 00:00:09,959 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, Netflix shares soaring after 2 00:00:10,000 --> 00:00:12,479 Speaker 1: they boosted their revenue out look. Carol, One thing that's 3 00:00:12,560 --> 00:00:15,239 Speaker 1: kind of surprising to me, which part is the first 4 00:00:15,360 --> 00:00:18,279 Speaker 1: quarter outlook doesn't seem to be affecting the way the 5 00:00:18,280 --> 00:00:22,440 Speaker 1: stock is moving. First quarter operating income therefore projecting two 6 00:00:22,480 --> 00:00:24,560 Speaker 1: point nine to four billion, analysts wanted to see three 7 00:00:24,560 --> 00:00:28,560 Speaker 1: point one three billion dollars. First quarter operating margin expected 8 00:00:28,600 --> 00:00:30,520 Speaker 1: to be twenty eight point two percent. Analysts wanted to 9 00:00:30,560 --> 00:00:32,280 Speaker 1: see twenty nine zero point eight percent. 10 00:00:32,320 --> 00:00:34,560 Speaker 2: Maybe they're looking at the twenty twenty two revenue overall 11 00:00:34,600 --> 00:00:37,159 Speaker 2: and looking at the big number versus kind of the breakdown. 12 00:00:37,159 --> 00:00:40,680 Speaker 1: See revenue projections coming in light, first quarter EPs coming 13 00:00:40,680 --> 00:00:42,560 Speaker 1: in light. I guess you are shrugging that off. 14 00:00:42,600 --> 00:00:45,040 Speaker 2: But they see twenty twenty five revenue maybe a little 15 00:00:45,040 --> 00:00:47,880 Speaker 2: bit better than what was initially expected. So maybe that's 16 00:00:47,960 --> 00:00:48,600 Speaker 2: the hope. 17 00:00:48,680 --> 00:00:49,000 Speaker 3: I don't know. 18 00:00:49,040 --> 00:00:50,920 Speaker 2: Let's see what Caroline Hind has to say. She's co 19 00:00:50,960 --> 00:00:54,920 Speaker 2: host of Bloomberg Technology and she joins us. Now, Caroline, 20 00:00:55,040 --> 00:00:58,560 Speaker 2: I mean, there's also the buyback in shares. But Netflix 21 00:00:58,680 --> 00:00:59,920 Speaker 2: just soaring in the aftermark. 22 00:01:01,280 --> 00:01:03,880 Speaker 4: What a way to close out your subscriber numbers, because 23 00:01:03,880 --> 00:01:05,399 Speaker 4: this is the last time we ever get them. The 24 00:01:05,480 --> 00:01:09,360 Speaker 4: last quarter of subscriber numbers an absolute blowout, as you say, 25 00:01:09,360 --> 00:01:12,760 Speaker 4: coming in double where the expectations have been of eighteen million, 26 00:01:12,760 --> 00:01:16,000 Speaker 4: and they've added an on net forty one million. 27 00:01:16,040 --> 00:01:18,759 Speaker 5: More people around the world over the course of this year. 28 00:01:18,840 --> 00:01:21,319 Speaker 4: I mean, this is better than they did during twenty 29 00:01:21,400 --> 00:01:23,960 Speaker 4: twenty in the onset of COVID, when we were all 30 00:01:24,000 --> 00:01:25,880 Speaker 4: suddenly trapped in our homes and had nothing else to. 31 00:01:25,840 --> 00:01:28,440 Speaker 5: Do but to switch on and pay for Netflix. 32 00:01:28,760 --> 00:01:30,920 Speaker 4: Extraordinary numbers, And I think, Carol, what you're saying is 33 00:01:30,959 --> 00:01:33,440 Speaker 4: really president the fact that they're looking to a full 34 00:01:33,560 --> 00:01:36,400 Speaker 4: year that still looks so strong. Operating margin going to 35 00:01:36,400 --> 00:01:38,480 Speaker 4: live up to twenty nine percent. I hear you, Tim 36 00:01:38,680 --> 00:01:41,039 Speaker 4: on the fiscal first quarter perhaps looking a little bit light. 37 00:01:41,280 --> 00:01:43,920 Speaker 4: But remember this is a company that promised us for advertising, 38 00:01:44,160 --> 00:01:45,720 Speaker 4: which has been slow to bear fruit. 39 00:01:46,040 --> 00:01:47,160 Speaker 5: Isn't actually going to give. 40 00:01:47,080 --> 00:01:50,960 Speaker 4: Us a real substantiate and financial hit and oop until 41 00:01:51,000 --> 00:01:51,960 Speaker 4: twenty twenty six. 42 00:01:52,240 --> 00:01:53,480 Speaker 5: But already you're seeing. 43 00:01:53,240 --> 00:01:56,400 Speaker 4: Those dividends, Already you're seeing people pile into the advertising product. 44 00:01:56,640 --> 00:01:59,520 Speaker 4: And thank you to j Paul, to Mike Tyson, to 45 00:01:59,560 --> 00:02:01,560 Speaker 4: be on because this is where it's at. 46 00:02:01,600 --> 00:02:03,600 Speaker 5: It seems to be live programming. What are you winning 47 00:02:03,600 --> 00:02:03,800 Speaker 5: it for? 48 00:02:03,920 --> 00:02:06,120 Speaker 1: Yeah, I was gonna say no boxing matches or Beyonce 49 00:02:06,560 --> 00:02:09,400 Speaker 1: happening during the pandemic either. So maybe that's one of 50 00:02:09,400 --> 00:02:10,920 Speaker 1: the big shifts. Someone, do you want to bring in? 51 00:02:11,000 --> 00:02:15,200 Speaker 1: Getha ranganathen technology and media analysts for Bloomberg Intelligence. Just 52 00:02:15,240 --> 00:02:17,919 Speaker 1: to repeat some of these headlines here, Netflix shares are 53 00:02:17,960 --> 00:02:20,120 Speaker 1: soaring more than a ten percent. They boosted their twenty 54 00:02:20,160 --> 00:02:24,200 Speaker 1: twenty five revenue outlook. They added eighteen point nine one 55 00:02:24,200 --> 00:02:27,320 Speaker 1: million dollars a million excuse me, net paid streaming users 56 00:02:27,320 --> 00:02:29,720 Speaker 1: in the fourth quarter. Estimates were for nine point one 57 00:02:29,720 --> 00:02:32,919 Speaker 1: point eight so more than doubling it there, Githa, You've 58 00:02:32,919 --> 00:02:35,440 Speaker 1: had about ten minutes to look at these results. What 59 00:02:35,560 --> 00:02:36,240 Speaker 1: jumps out to you? 60 00:02:37,760 --> 00:02:38,000 Speaker 5: Yeah? 61 00:02:38,040 --> 00:02:40,240 Speaker 3: Everything? Really everything what you just pointed out. You know, 62 00:02:40,320 --> 00:02:43,040 Speaker 3: the one thing that we were worried about coming into 63 00:02:43,040 --> 00:02:45,080 Speaker 3: this quarter was whether they were going to take down 64 00:02:45,160 --> 00:02:47,519 Speaker 3: their revenue expectations just kind of given the strength and 65 00:02:47,560 --> 00:02:50,280 Speaker 3: the dollar, but they actually boosted that and you know, 66 00:02:50,320 --> 00:02:52,520 Speaker 3: you talked about the live sports being such a big 67 00:02:52,560 --> 00:02:56,320 Speaker 3: part of this eighteen point nine million subscriber blowout, and 68 00:02:56,320 --> 00:02:58,440 Speaker 3: it's going to be interesting to see how they go 69 00:02:58,760 --> 00:03:02,160 Speaker 3: ahead with both criber acquisition and retention. So they do 70 00:03:02,280 --> 00:03:06,480 Speaker 3: have WWE programming that came on, you know, starting January 71 00:03:06,520 --> 00:03:10,040 Speaker 3: of this year, and that's a really interesting retention strategy 72 00:03:10,040 --> 00:03:12,600 Speaker 3: because you do do have that programming kind of come 73 00:03:12,600 --> 00:03:14,640 Speaker 3: in a week in and week out, and so it's 74 00:03:14,680 --> 00:03:16,079 Speaker 3: going to be interesting to see how they kind of 75 00:03:16,080 --> 00:03:19,200 Speaker 3: shape the conversation forward. The one big thing that you know, 76 00:03:19,600 --> 00:03:22,000 Speaker 3: everybody was kind of looking at and you know, we 77 00:03:22,080 --> 00:03:25,720 Speaker 3: still haven't gotten any inkling about is the price hikes. 78 00:03:25,760 --> 00:03:28,959 Speaker 3: So that's again another big positive lever that they have 79 00:03:29,080 --> 00:03:32,360 Speaker 3: to pull sometime through this year, especially kind of given 80 00:03:32,400 --> 00:03:35,560 Speaker 3: that this is going to be their strongest ever content 81 00:03:35,720 --> 00:03:38,680 Speaker 3: pipeline year twenty twenty five with all of their you know, 82 00:03:38,920 --> 00:03:40,080 Speaker 3: hit shows returning. 83 00:03:40,240 --> 00:03:41,800 Speaker 2: Hey, before we go back to Caroline, I have one 84 00:03:41,880 --> 00:03:44,920 Speaker 2: question for you, Geita. I mean this, you know, the 85 00:03:44,960 --> 00:03:48,840 Speaker 2: live sports programming, the live programming in general, it's expensive, 86 00:03:48,960 --> 00:03:50,880 Speaker 2: isn't it. So that's a lot of pressure that I mean, 87 00:03:51,000 --> 00:03:54,920 Speaker 2: Netflix really has to make sure that they've got the 88 00:03:54,960 --> 00:03:56,440 Speaker 2: eyeballs that make it pay off. 89 00:03:57,720 --> 00:03:59,640 Speaker 3: It did pay off for them, so just let's just 90 00:03:59,680 --> 00:04:02,680 Speaker 3: take the NFL for instance, they spent about seventy five 91 00:04:02,760 --> 00:04:06,480 Speaker 3: million dollars per game. We estimate that they brought in 92 00:04:06,560 --> 00:04:09,640 Speaker 3: well over one hundred million just an AD revenue, and 93 00:04:09,680 --> 00:04:12,480 Speaker 3: then think of all of those additional subscribers that they got. 94 00:04:12,520 --> 00:04:14,280 Speaker 3: So this is paying off for them big time. So 95 00:04:14,320 --> 00:04:17,039 Speaker 3: they're making it. The content investments are definitely big, but 96 00:04:17,080 --> 00:04:20,920 Speaker 3: they're pretty disciplined, Carol, and I think the ROI they're 97 00:04:20,920 --> 00:04:22,560 Speaker 3: going to find is really really good as well. 98 00:04:22,720 --> 00:04:26,360 Speaker 1: Hey, Carolyn, to that point, Netflix certainly the early mover 99 00:04:26,440 --> 00:04:27,800 Speaker 1: when it comes to this. I think it's fair to 100 00:04:27,839 --> 00:04:31,159 Speaker 1: say they certainly invented a category here. But since then 101 00:04:31,600 --> 00:04:38,080 Speaker 1: you've had companies like Max, Paramount, Peacock from NBC Universal 102 00:04:38,400 --> 00:04:40,839 Speaker 1: all come out with their own streaming products to much 103 00:04:40,920 --> 00:04:43,360 Speaker 1: less success. Disney, of course, we've got to throw that 104 00:04:43,400 --> 00:04:46,919 Speaker 1: one in there as well. What is Netflix doing so 105 00:04:47,040 --> 00:04:50,680 Speaker 1: well that the other companies are not necessarily doing. 106 00:04:52,279 --> 00:04:54,320 Speaker 5: Very good? Point and leaving them the dust. 107 00:04:54,360 --> 00:04:56,719 Speaker 4: I mean, Leatha's numbers is so stand out when you 108 00:04:56,720 --> 00:04:59,080 Speaker 4: think about this is a company with three hundred million 109 00:04:59,400 --> 00:05:03,920 Speaker 4: subscribers worldwide, leaving Disney just way behind, less than half 110 00:05:04,160 --> 00:05:06,680 Speaker 4: of what they've currently been able to crow about. 111 00:05:06,839 --> 00:05:09,160 Speaker 5: But I think it's just the heavy mix. 112 00:05:09,000 --> 00:05:11,320 Speaker 4: Of being able to offer you the right content at 113 00:05:11,360 --> 00:05:13,599 Speaker 4: the right time and the right price format. They're making 114 00:05:13,600 --> 00:05:16,200 Speaker 4: big inroads into Latin America and into Europe as well 115 00:05:16,200 --> 00:05:17,200 Speaker 4: as into the United States. 116 00:05:17,200 --> 00:05:18,560 Speaker 5: Which really surprised me. 117 00:05:18,560 --> 00:05:20,599 Speaker 4: Was how strong the US and Canada are in the 118 00:05:20,640 --> 00:05:23,159 Speaker 4: face of those price heights. But I think most notably 119 00:05:23,160 --> 00:05:25,120 Speaker 4: it is the fact that they keep on delivering, whereas 120 00:05:25,160 --> 00:05:27,440 Speaker 4: it's carry On is a great movie that people have 121 00:05:27,440 --> 00:05:31,119 Speaker 4: flocked to, whether it's these ongoing franchises that people cannot 122 00:05:31,120 --> 00:05:33,760 Speaker 4: get enough of Wednesdays coming out with more, we're going 123 00:05:33,800 --> 00:05:34,480 Speaker 4: to be getting. 124 00:05:34,200 --> 00:05:35,239 Speaker 5: A new stranger things. 125 00:05:35,279 --> 00:05:38,160 Speaker 4: These are people that a lot loaded on these particular 126 00:05:38,200 --> 00:05:40,200 Speaker 4: types of content and the genre that they feel so 127 00:05:40,240 --> 00:05:43,080 Speaker 4: comfortable with. And I wonder, and it's one more for 128 00:05:43,120 --> 00:05:46,240 Speaker 4: Geetha really is how much we're going to see cyclical 129 00:05:46,320 --> 00:05:46,840 Speaker 4: nature of. 130 00:05:46,760 --> 00:05:49,040 Speaker 5: People signing on and signing off when it comes to sports, 131 00:05:49,080 --> 00:05:49,680 Speaker 5: because that is. 132 00:05:49,640 --> 00:05:51,719 Speaker 4: What is that the behest and what has so been 133 00:05:51,720 --> 00:05:53,839 Speaker 4: the issue for the likes of Warner Brothers and Disney 134 00:05:54,200 --> 00:05:56,480 Speaker 4: is that you basically turn on when it's your season 135 00:05:56,480 --> 00:05:57,479 Speaker 4: and then you switch. 136 00:05:57,160 --> 00:05:59,960 Speaker 5: Off again and you have this huge jump starts in numbers. 137 00:06:00,240 --> 00:06:02,080 Speaker 4: All were going to see that consistency when you do 138 00:06:02,160 --> 00:06:04,839 Speaker 4: have the deals of rule for example, ps my producer 139 00:06:04,880 --> 00:06:06,320 Speaker 4: Jackie absolutely loves. 140 00:06:06,120 --> 00:06:08,240 Speaker 5: The new role. So ass you say they're winning on 141 00:06:08,240 --> 00:06:10,320 Speaker 5: the WWE front, Keitha. 142 00:06:10,040 --> 00:06:11,560 Speaker 2: Come on in on that talk to us about the 143 00:06:11,560 --> 00:06:15,800 Speaker 2: cyclical cyclicality or not nature of sports. 144 00:06:16,560 --> 00:06:16,800 Speaker 5: Yeah. 145 00:06:16,880 --> 00:06:19,200 Speaker 3: No, that's a great point that Caroline brought up, and 146 00:06:19,200 --> 00:06:21,919 Speaker 3: we've seen that happen every time during football season, right, 147 00:06:21,960 --> 00:06:24,160 Speaker 3: people just sign up for all these services and then 148 00:06:24,240 --> 00:06:25,960 Speaker 3: after the Super Bowl you have so much of this 149 00:06:26,279 --> 00:06:27,520 Speaker 3: what is called churn and burned. 150 00:06:27,560 --> 00:06:27,720 Speaker 4: Right. 151 00:06:28,000 --> 00:06:29,520 Speaker 3: But that's where I think Netflix is going to do 152 00:06:29,560 --> 00:06:31,160 Speaker 3: things a little bit differently. So they're going to use 153 00:06:31,200 --> 00:06:33,960 Speaker 3: a combination of these big, splashy events think of you know, 154 00:06:34,040 --> 00:06:38,320 Speaker 3: Tyson versus Paul or even the NFL games where you know, 155 00:06:38,320 --> 00:06:40,440 Speaker 3: you can go out and acquire all this huge bunch 156 00:06:40,480 --> 00:06:44,200 Speaker 3: of subscribers, and then you have you know, consistent weekly 157 00:06:44,320 --> 00:06:47,560 Speaker 3: programming like WWE. The next thing that's really coming up 158 00:06:47,600 --> 00:06:51,240 Speaker 3: for renewal is UFC, which is again year round programming, 159 00:06:51,360 --> 00:06:54,040 Speaker 3: which then you know, forces people to come back week 160 00:06:54,120 --> 00:06:57,360 Speaker 3: after week to watch their favorite shows, and I think 161 00:06:57,360 --> 00:06:59,960 Speaker 3: that's how they're going to They've always kind of strived 162 00:07:00,279 --> 00:07:03,040 Speaker 3: for this nice mix, you know, whether it's English non 163 00:07:03,080 --> 00:07:06,400 Speaker 3: English content, you know, whether it's licensed original content, and 164 00:07:06,400 --> 00:07:07,760 Speaker 3: now it's going to be you know, kind of this 165 00:07:07,880 --> 00:07:11,080 Speaker 3: live sports, the one off events versus you know that 166 00:07:11,200 --> 00:07:12,200 Speaker 3: year round programming. 167 00:07:12,600 --> 00:07:15,840 Speaker 1: Githa, before we let you go, you're an analyst for 168 00:07:15,920 --> 00:07:20,960 Speaker 1: Bloomberg Intelligence. You cover technology and media. You like having 169 00:07:21,040 --> 00:07:24,120 Speaker 1: more data rather than less data. Unfortunately, you're going to 170 00:07:24,120 --> 00:07:27,800 Speaker 1: get less data from Netflix moving forward because they're not 171 00:07:27,920 --> 00:07:30,960 Speaker 1: going to report this customer metric anymore. What are you 172 00:07:31,000 --> 00:07:33,000 Speaker 1: going to use to back out that figure? What should 173 00:07:33,040 --> 00:07:33,760 Speaker 1: we be looking at? 174 00:07:34,960 --> 00:07:37,680 Speaker 3: Yeah, definitely, I mean revenue is how they have been 175 00:07:37,760 --> 00:07:39,920 Speaker 3: kind of training as revenue growth is going to be 176 00:07:40,000 --> 00:07:42,320 Speaker 3: the big number going forward. It's going to be interesting 177 00:07:42,360 --> 00:07:45,880 Speaker 3: to see if they give any metrics tim around advertising 178 00:07:45,920 --> 00:07:47,880 Speaker 3: at all, because we will kind of need that a 179 00:07:47,880 --> 00:07:50,600 Speaker 3: little bit to see if that add our poo number 180 00:07:50,720 --> 00:07:53,000 Speaker 3: is climbing up or not. But yeah, we're going to 181 00:07:53,000 --> 00:07:55,720 Speaker 3: have to make some guestimates in terms of subscriber numbers. 182 00:07:56,040 --> 00:07:58,480 Speaker 3: But yes, revenue and operating margin, I think those are 183 00:07:58,520 --> 00:08:00,840 Speaker 3: going to be the major metrics that investors are going 184 00:08:00,880 --> 00:08:02,200 Speaker 3: to be focused on going forward. 185 00:08:02,560 --> 00:08:05,360 Speaker 2: Hey, before we go, Caroline, I did want to get 186 00:08:05,360 --> 00:08:08,640 Speaker 2: you to weigh in on We are anticipating an announcement 187 00:08:08,960 --> 00:08:13,320 Speaker 2: by President Trump and building artificial intelligence infrastructure here in 188 00:08:13,320 --> 00:08:15,480 Speaker 2: the United State. It's a big joint venture. We've seen 189 00:08:15,840 --> 00:08:17,840 Speaker 2: some stacks like Oracle move on it. What do we 190 00:08:17,920 --> 00:08:19,520 Speaker 2: know or what might we expect? 191 00:08:20,560 --> 00:08:21,480 Speaker 5: It's so interesting, isn't it? 192 00:08:21,520 --> 00:08:23,720 Speaker 4: Because it was but a few weeks ago that Masayoshi's 193 00:08:23,720 --> 00:08:26,120 Speaker 4: son was on stage with Trump congratulating him on his 194 00:08:26,160 --> 00:08:30,240 Speaker 4: presidential win and promising one hundred million dollars into AI infrastructure. 195 00:08:30,240 --> 00:08:32,200 Speaker 4: And here we get it, one hundred million maybe going 196 00:08:32,280 --> 00:08:34,840 Speaker 4: up to five hundred million dollars with soft Bank, open 197 00:08:34,880 --> 00:08:37,920 Speaker 4: Ai and Oracle. There are so many questions here because 198 00:08:38,200 --> 00:08:40,559 Speaker 4: what Oracle is going to be stealing some of Microsoft's 199 00:08:40,600 --> 00:08:43,040 Speaker 4: lunch here? Because remember open Ai tends to depend on 200 00:08:43,080 --> 00:08:46,080 Speaker 4: Microsoft for its cloud infrastructure at the moment. But we 201 00:08:46,200 --> 00:08:49,040 Speaker 4: understand from reporting of our own colleagues that there's been 202 00:08:49,040 --> 00:08:51,680 Speaker 4: some frustration by open Ai and Microsoft not being able 203 00:08:51,679 --> 00:08:53,600 Speaker 4: to build out as quickly as enough as they would 204 00:08:53,679 --> 00:08:56,199 Speaker 4: like and having to go elsewhere for their compute power 205 00:08:56,240 --> 00:08:59,080 Speaker 4: for their latest large language models. This is exactly what 206 00:08:59,240 --> 00:09:02,400 Speaker 4: the President now wants to be laying out money coming in, 207 00:09:02,440 --> 00:09:06,000 Speaker 4: particularly from the foreign investment like SoftBank, and committing to 208 00:09:06,120 --> 00:09:08,880 Speaker 4: building infrastructure here in the United States, and remember it's 209 00:09:08,920 --> 00:09:11,640 Speaker 4: going to have to have the energy that goes alongside it. 210 00:09:11,679 --> 00:09:14,840 Speaker 4: But big move for Oracle Stock, big important cloud growth 211 00:09:15,120 --> 00:09:18,320 Speaker 4: driver for them. But also really interesting tie up between SoftBank, 212 00:09:18,360 --> 00:09:19,959 Speaker 4: which has been taking more and more of a stake 213 00:09:20,080 --> 00:09:22,720 Speaker 4: in open Ai by buying up some of those shares 214 00:09:22,720 --> 00:09:25,760 Speaker 4: on the private market and tender office coming from employees 215 00:09:26,120 --> 00:09:29,160 Speaker 4: and indeed leaving me with questions about Microsoft. But we 216 00:09:29,200 --> 00:09:31,679 Speaker 4: do anticipate that unveiling at the White House today. 217 00:09:31,480 --> 00:09:33,559 Speaker 2: All right, looking forward to that great setup for us 218 00:09:33,840 --> 00:09:36,720 Speaker 2: as we anticipate that in great analysis from both of you. 219 00:09:36,800 --> 00:09:38,959 Speaker 2: When it comes to Netflix, we are watching the stock 220 00:09:39,280 --> 00:09:42,680 Speaker 2: continuing to trade soaring really in the aftermarket, up about 221 00:09:42,720 --> 00:09:45,600 Speaker 2: eleven percent as we speak. Our thanks to Caroline High, 222 00:09:45,679 --> 00:09:48,360 Speaker 2: co host of Bloomberg Technology, and of course our Githa 223 00:09:48,440 --> 00:09:50,480 Speaker 2: Rang andath On. She is technology and media analyst for 224 00:09:50,520 --> 00:09:53,400 Speaker 2: Bloomberg Intelligence. We'll all be reading her research