1 00:00:02,759 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am. 3 00:00:14,640 --> 00:00:17,279 Speaker 1: He's done on Apple, Cocklay and Android Auto with the 4 00:00:17,320 --> 00:00:21,080 Speaker 1: Bloomberg Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:23,600 Speaker 1: or watch us live on YouTube. 6 00:00:24,400 --> 00:00:26,319 Speaker 2: All right, let's get back to some of these tech 7 00:00:26,360 --> 00:00:32,080 Speaker 2: earnings coming in here. Palanteer Uber. Yes, I arbitrage between 8 00:00:32,159 --> 00:00:33,680 Speaker 2: Uber and Lyft and people who don't do that. I 9 00:00:33,720 --> 00:00:36,760 Speaker 2: don't understand those people because I get huge discounts twenty 10 00:00:36,840 --> 00:00:37,400 Speaker 2: thirty percent. 11 00:00:37,640 --> 00:00:39,599 Speaker 3: Wait, so you whenever you need to go somewhere, you're 12 00:00:39,600 --> 00:00:41,519 Speaker 3: going to check both apps and then figure out which one. 13 00:00:41,600 --> 00:00:43,960 Speaker 2: It takes an incremental like eight seconds, and it saves 14 00:00:44,000 --> 00:00:46,400 Speaker 2: me real money. And Matt Miller and I had this 15 00:00:46,920 --> 00:00:49,120 Speaker 2: fight on the air. He doesn't do it. He's brand loyalty. 16 00:00:49,400 --> 00:00:50,400 Speaker 4: I'm like, you're leaving money. 17 00:00:50,440 --> 00:00:52,199 Speaker 3: No, No, there's no loyalty to this. This is all 18 00:00:52,240 --> 00:00:54,680 Speaker 3: about how much it costs. Yeah, I don't know, it's 19 00:00:54,680 --> 00:00:55,920 Speaker 3: just a commodity. How about the money? 20 00:00:56,240 --> 00:00:56,840 Speaker 4: Exactly right? 21 00:00:57,400 --> 00:00:59,560 Speaker 2: Man Deeps saying somehow he's built a career on doing 22 00:00:59,560 --> 00:01:01,600 Speaker 2: this stuff and Deep seeing these are senior tech analysts 23 00:01:01,600 --> 00:01:02,560 Speaker 2: Bloomberg Intelligence. 24 00:01:02,680 --> 00:01:06,560 Speaker 4: Mandy, let's start with pat Palenteer. What you call on 25 00:01:06,680 --> 00:01:08,440 Speaker 4: that and what do you make of the stock action today? 26 00:01:08,440 --> 00:01:10,279 Speaker 2: What I'd love to just get your thought on the company, 27 00:01:10,319 --> 00:01:12,480 Speaker 2: the stock and what do you think of the action today? 28 00:01:12,520 --> 00:01:16,000 Speaker 5: The solo, I mean, Palenteer still is the most expensive 29 00:01:16,160 --> 00:01:20,200 Speaker 5: enterprise software business. So at a five hundred billion dollar valuation, 30 00:01:20,400 --> 00:01:23,959 Speaker 5: you have to ask yourself, you know, is this the 31 00:01:24,000 --> 00:01:27,680 Speaker 5: best software company that I can own or is there 32 00:01:27,800 --> 00:01:30,640 Speaker 5: something else out there in the world of AI, which, 33 00:01:31,000 --> 00:01:34,720 Speaker 5: to my mind, open Ai and Entropic are also recurring 34 00:01:34,760 --> 00:01:39,280 Speaker 5: revenue software businesses. Yes, open ai is much bigger in 35 00:01:39,360 --> 00:01:42,800 Speaker 5: their ambitions with regards to a consumer business and an 36 00:01:42,920 --> 00:01:47,640 Speaker 5: enterprise API business. But these companies Open Ai and Tropic 37 00:01:47,680 --> 00:01:51,400 Speaker 5: are growing triple digits and open Ai, for example, is 38 00:01:51,560 --> 00:01:55,240 Speaker 5: at a thirteen billion plus revenue run rate. So when 39 00:01:55,280 --> 00:02:00,000 Speaker 5: I compare an open Ei and Tropic to Palenteer Talenteer, 40 00:02:00,000 --> 00:02:02,320 Speaker 5: you're at four billion dollars rund rate, growing at a 41 00:02:02,440 --> 00:02:06,720 Speaker 5: very healthy fifty percent, trading at one hundred times cv 42 00:02:06,840 --> 00:02:10,960 Speaker 5: DO sales. That is where I think the valuation is 43 00:02:11,000 --> 00:02:12,800 Speaker 5: what gives me a stop. 44 00:02:12,600 --> 00:02:15,200 Speaker 2: Here, Okay, I was raised by gentlemen where you did 45 00:02:15,200 --> 00:02:18,040 Speaker 2: pe ratio, and then I got converted to EV to ibata, 46 00:02:18,400 --> 00:02:21,440 Speaker 2: and then you people in technology got me focusing on 47 00:02:21,639 --> 00:02:23,280 Speaker 2: multiples of revenue. 48 00:02:23,120 --> 00:02:26,639 Speaker 5: Where it comes to software companies not other businesses. Yes, exactly. 49 00:02:27,080 --> 00:02:28,320 Speaker 2: And then I said, all right, I can kind of 50 00:02:28,320 --> 00:02:30,480 Speaker 2: get used to five, six, seven, eight times revenue. 51 00:02:30,520 --> 00:02:32,360 Speaker 4: Now you're telling me what one hundred times? 52 00:02:32,960 --> 00:02:36,600 Speaker 3: Yeah, that's that's It's like peg ratio and eyeballs back 53 00:02:36,600 --> 00:02:40,520 Speaker 3: in the day. So mandeep when it comes to Pounder 54 00:02:40,520 --> 00:02:43,040 Speaker 3: on what it does though there's no other company like it, right, 55 00:02:43,080 --> 00:02:46,400 Speaker 3: that's the issue. It counts big governments as its customers 56 00:02:46,400 --> 00:02:49,520 Speaker 3: and then now increasingly big companies. And as much as 57 00:02:49,560 --> 00:02:51,600 Speaker 3: you can compare a Pounder as a stock to other 58 00:02:51,639 --> 00:02:57,360 Speaker 3: AI plays, the actual responsibilities has the business that it 59 00:02:57,360 --> 00:03:01,359 Speaker 3: conducts is irreplaceable, irreplicable. 60 00:03:02,400 --> 00:03:05,639 Speaker 5: They clearly have a very strong mode in terms of 61 00:03:06,080 --> 00:03:10,840 Speaker 5: you know, creating an ontology. That's what they call basically 62 00:03:10,960 --> 00:03:14,560 Speaker 5: making sense of data that an enterprise may have. And 63 00:03:14,639 --> 00:03:18,919 Speaker 5: think about you know, any enterprise, they'll have ten twenty systems, 64 00:03:19,040 --> 00:03:23,520 Speaker 5: a lot of data replication, and Talenteer can give you 65 00:03:23,600 --> 00:03:27,320 Speaker 5: like a master data where they can help you get 66 00:03:27,400 --> 00:03:29,960 Speaker 5: rid of all their interundancies and give you data that 67 00:03:30,120 --> 00:03:33,880 Speaker 5: really matters for your AI. And so think about an 68 00:03:34,000 --> 00:03:37,720 Speaker 5: organization that has a billion dollar IT budget spending billions 69 00:03:37,720 --> 00:03:41,280 Speaker 5: of dollars on AI. Why would you not spend fifty 70 00:03:41,320 --> 00:03:45,280 Speaker 5: million dollars on Talenteers, especially if you are a government 71 00:03:45,480 --> 00:03:48,760 Speaker 5: or bank or a manufacturing company and not a tech company. 72 00:03:49,120 --> 00:03:53,080 Speaker 5: That's why Palenteer's customer base is not your sophisticated tech 73 00:03:53,080 --> 00:03:56,040 Speaker 5: companies like Google, a Meta or you know, any of 74 00:03:56,080 --> 00:03:58,920 Speaker 5: the tech players, because they do their own thing, but 75 00:03:58,960 --> 00:04:02,760 Speaker 5: it's your bank. Not that they're not sophisticated, but they 76 00:04:02,840 --> 00:04:06,920 Speaker 5: need more help with organizing their data and Talenteer gives 77 00:04:06,920 --> 00:04:09,440 Speaker 5: you an out of the box solution. And in this 78 00:04:09,560 --> 00:04:12,880 Speaker 5: age of AI men, things are really kind of getting 79 00:04:12,880 --> 00:04:15,680 Speaker 5: bigger and bigger in terms of spend. The last thing 80 00:04:15,720 --> 00:04:19,760 Speaker 5: you want to save on is spending on data because 81 00:04:19,800 --> 00:04:23,599 Speaker 5: if your overall project fields since you didn't have good data, 82 00:04:23,839 --> 00:04:26,960 Speaker 5: then it's bad ROI. And that's where Talenteer is really 83 00:04:27,000 --> 00:04:29,920 Speaker 5: benefiting and making a case Guys, you're spending so much 84 00:04:29,920 --> 00:04:33,200 Speaker 5: on infrastructure, why are you not spending on data? And 85 00:04:33,240 --> 00:04:34,520 Speaker 5: I think that's a good pitch. 86 00:04:34,320 --> 00:04:37,200 Speaker 4: Don't ship out on the data. Stay with us. More 87 00:04:37,240 --> 00:04:38,719 Speaker 4: from Bloomberg Intelligence coming. 88 00:04:38,600 --> 00:04:45,560 Speaker 1: Up there For this, you're listening to the Bloomberg Intelligence podcast. 89 00:04:45,920 --> 00:04:48,839 Speaker 1: Catch us live weekdays at ten am Eastern on Apple, 90 00:04:48,880 --> 00:04:52,159 Speaker 1: Cocklay and Android Auto with the Bloomberg Business App. Listen 91 00:04:52,200 --> 00:04:55,320 Speaker 1: on demand wherever you get your podcasts, or watch us 92 00:04:55,360 --> 00:04:56,320 Speaker 1: live on YouTube. 93 00:04:57,320 --> 00:04:59,919 Speaker 2: Looking at young brands today, that's a stock in the news. 94 00:05:00,320 --> 00:05:02,599 Speaker 2: Uh sucks up five point six percent today, It's up 95 00:05:02,600 --> 00:05:07,040 Speaker 2: about ten percent year to date. Launching a strategic review 96 00:05:07,160 --> 00:05:10,440 Speaker 2: focusing on their Pizza Hut brand. There, let's break it 97 00:05:10,480 --> 00:05:12,559 Speaker 2: down a little bit with Michael Halen. He's a senior 98 00:05:12,560 --> 00:05:16,039 Speaker 2: restaurant analyst for Bloomberg Intelligence. Michael, when I was in 99 00:05:16,040 --> 00:05:18,680 Speaker 2: college in Richmond, Virginia, Pizza Hut was the bomb. That's 100 00:05:18,720 --> 00:05:20,960 Speaker 2: all we had down there for pizza. What's going on 101 00:05:20,960 --> 00:05:22,799 Speaker 2: with the Pizza Hut and what's Yum's thinking about? 102 00:05:24,480 --> 00:05:25,520 Speaker 5: Yeah? 103 00:05:24,960 --> 00:05:27,720 Speaker 6: Uh, you know, I miss I missed Pizza Hut from 104 00:05:27,760 --> 00:05:28,440 Speaker 6: back in the day. 105 00:05:28,480 --> 00:05:30,240 Speaker 4: You know, I feel like the quality. 106 00:05:29,880 --> 00:05:34,120 Speaker 6: Has slipped since then. Man, I lost those breadsticks especially Uh. 107 00:05:34,240 --> 00:05:39,120 Speaker 6: You know, UH International has been okay, but US has 108 00:05:39,200 --> 00:05:45,080 Speaker 6: been a big time drag on UFC. On a on 109 00:05:45,200 --> 00:05:50,279 Speaker 6: young brand's results. So yeah, so I think this was 110 00:05:50,400 --> 00:05:52,479 Speaker 6: kind of a long time coming. It's really been a 111 00:05:52,560 --> 00:05:56,520 Speaker 6: drag on the top and bottom line growth. You know, 112 00:05:56,880 --> 00:06:00,680 Speaker 6: Taco Bell is an absolute monster, is putting up unit 113 00:06:00,720 --> 00:06:03,360 Speaker 6: growth as well as same store sales growth quarter after 114 00:06:03,440 --> 00:06:08,320 Speaker 6: quarter after quarter. KFC has had some well documented same 115 00:06:08,360 --> 00:06:11,680 Speaker 6: store sales issues in the US, but that seems to 116 00:06:11,720 --> 00:06:15,919 Speaker 6: be turning. They had a solid little quarter here with 117 00:06:16,040 --> 00:06:18,960 Speaker 6: flat same store sales versus six straight quarters of decline, 118 00:06:19,000 --> 00:06:22,080 Speaker 6: so that business seems to be accelerating a little bit. 119 00:06:22,600 --> 00:06:26,600 Speaker 6: And KFC unit growth overseas is phenomenal, absolutely phenomenal. 120 00:06:26,600 --> 00:06:27,600 Speaker 4: They crush it overseas. 121 00:06:27,720 --> 00:06:31,560 Speaker 6: Yeah, so Pizza Hut has been this drag on this 122 00:06:31,680 --> 00:06:33,960 Speaker 6: business for quite some time. I think the street is 123 00:06:35,560 --> 00:06:37,920 Speaker 6: really excited about a potential divestiture here. 124 00:06:38,240 --> 00:06:43,480 Speaker 2: Any potential buyers out there that you can identify, No. 125 00:06:43,400 --> 00:06:43,839 Speaker 4: We don't have. 126 00:06:44,480 --> 00:06:47,039 Speaker 6: We don't think any of the companies in the public 127 00:06:47,080 --> 00:06:51,880 Speaker 6: market are going to be an acquirer of Pizza Hut. Yeah, 128 00:06:52,400 --> 00:06:56,400 Speaker 6: you know, this thing is, like I said, has struggled mightily. 129 00:06:56,480 --> 00:06:58,839 Speaker 6: I mean, we can see pete private equity. I think 130 00:06:59,120 --> 00:07:04,360 Speaker 6: private equity would be a good fit right, because it's 131 00:07:04,400 --> 00:07:06,080 Speaker 6: going to take you know, management set on the call. 132 00:07:06,160 --> 00:07:09,320 Speaker 6: It might take some of their markets two three years 133 00:07:09,360 --> 00:07:12,840 Speaker 6: to get them back to like their rightful position as 134 00:07:12,920 --> 00:07:16,760 Speaker 6: market leader in those countries they which they see as 135 00:07:16,760 --> 00:07:20,640 Speaker 6: their rightful, you know position. I think Dominos would have 136 00:07:20,920 --> 00:07:23,520 Speaker 6: something to say about that. But you know, it's gonna 137 00:07:23,520 --> 00:07:25,640 Speaker 6: take a few years to turn around some of these markets, 138 00:07:25,680 --> 00:07:28,520 Speaker 6: and private equity obviously looking out a five to seven 139 00:07:28,560 --> 00:07:30,840 Speaker 6: year time horizon would be a good fit. 140 00:07:31,600 --> 00:07:34,440 Speaker 2: All right, Mike, Let's step back the restaurant space in general, 141 00:07:34,480 --> 00:07:37,560 Speaker 2: getting through you know, earning season here. What are you 142 00:07:37,640 --> 00:07:40,080 Speaker 2: learning about kind of the consumer out there from the 143 00:07:40,080 --> 00:07:40,960 Speaker 2: restaurant perspective. 144 00:07:42,640 --> 00:07:47,080 Speaker 6: Yeah, today we heard from Wingstop and another fast casual 145 00:07:47,160 --> 00:07:50,360 Speaker 6: chain that's struggling also partly been a victim of its 146 00:07:50,400 --> 00:07:51,000 Speaker 6: own success. 147 00:07:51,080 --> 00:07:51,240 Speaker 7: Right. 148 00:07:51,440 --> 00:07:54,840 Speaker 6: It's absolutely crushed it over the last six years and 149 00:07:54,960 --> 00:07:57,520 Speaker 6: is lapping very very strong results from last year. But 150 00:07:57,880 --> 00:08:01,520 Speaker 6: they talked some more about lowing come consumers and Hispanic 151 00:08:01,880 --> 00:08:07,080 Speaker 6: consumer weakness and it broadening here in the third quarter. 152 00:08:08,280 --> 00:08:11,040 Speaker 6: The stock is up pretty significantly, though. We think there's 153 00:08:11,080 --> 00:08:13,280 Speaker 6: some couple of things going on. Number one, is stock 154 00:08:13,360 --> 00:08:18,000 Speaker 6: sold off big time off that Chipotle's poor third quarter print. 155 00:08:18,760 --> 00:08:21,720 Speaker 6: And secondly, there's some optimism here, I think around the 156 00:08:21,760 --> 00:08:25,360 Speaker 6: smart kitchens. So what's a smart kitchen they're so they're 157 00:08:25,440 --> 00:08:31,800 Speaker 6: rolling out some kitchen technology that's boosting operations. It's speeding 158 00:08:31,880 --> 00:08:35,559 Speaker 6: up service times. You know, they're they're putting out consistent 159 00:08:35,960 --> 00:08:40,680 Speaker 6: ten minute service times, which is fifty percent better than 160 00:08:40,720 --> 00:08:45,840 Speaker 6: they were doing prior. Accuracy is better, Food's getting to 161 00:08:45,920 --> 00:08:49,000 Speaker 6: customers hotter and fresher, and people are going to have 162 00:08:49,040 --> 00:08:51,800 Speaker 6: a better experience. And so stores that have had this 163 00:08:51,960 --> 00:08:55,040 Speaker 6: technology right now, it's in about two thirds of the 164 00:08:55,120 --> 00:08:57,199 Speaker 6: US stores, It's going to be in all three thousand 165 00:08:57,240 --> 00:08:59,520 Speaker 6: by the end of the year. But stores that have 166 00:08:59,720 --> 00:09:03,760 Speaker 6: this equipment and have had it the longest are outperforming 167 00:09:03,800 --> 00:09:06,400 Speaker 6: on same source sales by five hundred basis points. 168 00:09:06,480 --> 00:09:10,000 Speaker 4: So we think that's that's why the stock is up 169 00:09:10,040 --> 00:09:10,440 Speaker 4: so much. 170 00:09:10,480 --> 00:09:13,640 Speaker 6: People are now a little bit more confident in a 171 00:09:13,720 --> 00:09:19,480 Speaker 6: positive twenty twenty six despite the decelerating trends here in 172 00:09:19,520 --> 00:09:20,199 Speaker 6: the third quarter. 173 00:09:20,600 --> 00:09:23,760 Speaker 2: Boy, big Big Pop today stocks up thirteen percent today, 174 00:09:23,800 --> 00:09:26,680 Speaker 2: down fourteen percent year to date, but a good move today. 175 00:09:26,760 --> 00:09:28,760 Speaker 2: I don't think there's wingstops in Jersey, Are there Mike, 176 00:09:28,800 --> 00:09:29,480 Speaker 2: I haven't seen one. 177 00:09:31,240 --> 00:09:33,840 Speaker 6: Yeah, there's there's some, but there's there's not you know, 178 00:09:33,920 --> 00:09:37,480 Speaker 6: there's not a whole bunch. You know, Texas, it's strong 179 00:09:37,480 --> 00:09:38,160 Speaker 6: in Texas. 180 00:09:38,400 --> 00:09:40,520 Speaker 4: They're talking about the Southwest being strong. 181 00:09:40,640 --> 00:09:43,160 Speaker 6: But now, man, we need some more new Jersey wing 182 00:09:43,160 --> 00:09:44,640 Speaker 6: stuff franchisees. 183 00:09:45,080 --> 00:09:49,120 Speaker 2: The product's pretty good, absolutely. So what's going on on 184 00:09:49,160 --> 00:09:53,000 Speaker 2: the laborfront for restaurants? I'm thinking quick service restaurants. You know, 185 00:09:53,040 --> 00:09:55,960 Speaker 2: with the southern border shut off, that was one of 186 00:09:56,000 --> 00:09:58,720 Speaker 2: the industries that said we may have some labor problems 187 00:09:58,760 --> 00:09:59,480 Speaker 2: associated with that. 188 00:10:00,040 --> 00:10:01,200 Speaker 4: You heard from your companies about that. 189 00:10:02,800 --> 00:10:07,000 Speaker 6: Yeah, you know, our companies just talk about the fact 190 00:10:07,040 --> 00:10:11,200 Speaker 6: that they use Everify and there and they do everything 191 00:10:11,200 --> 00:10:14,120 Speaker 6: by the book, which you know, I think is predominantly 192 00:10:14,200 --> 00:10:18,120 Speaker 6: the case. The impact that you know you're seeing a 193 00:10:18,160 --> 00:10:20,360 Speaker 6: is with more of the independent restaurants. 194 00:10:20,400 --> 00:10:20,520 Speaker 5: OK. 195 00:10:20,920 --> 00:10:26,080 Speaker 6: But then be also kind of causes labor costs to 196 00:10:26,120 --> 00:10:29,480 Speaker 6: go higher here for the public chains, right, and they're 197 00:10:29,520 --> 00:10:33,880 Speaker 6: seeing another four to five you know, wage rate inflation 198 00:10:34,000 --> 00:10:37,000 Speaker 6: this year. That's been pretty common year in and year 199 00:10:37,080 --> 00:10:38,239 Speaker 6: out since the pandemic. 200 00:10:38,280 --> 00:10:41,400 Speaker 4: Stay with us. More from Bloomberg Intelligence coming up after this. 201 00:10:45,240 --> 00:10:48,920 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 202 00:10:49,040 --> 00:10:52,080 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 203 00:10:52,120 --> 00:10:55,439 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 204 00:10:55,480 --> 00:10:58,280 Speaker 1: you get your podcasts, or watch us live on. 205 00:10:58,160 --> 00:11:04,199 Speaker 2: YouTube, Ranganath and she covers all the media names, including Spotify, 206 00:11:04,280 --> 00:11:07,120 Speaker 2: and she explained it to me very clearly early on in. 207 00:11:07,120 --> 00:11:08,040 Speaker 4: Coverage of this company. 208 00:11:08,280 --> 00:11:11,040 Speaker 2: I think of Spotify as kind of the Netflix for music, 209 00:11:11,080 --> 00:11:12,480 Speaker 2: and it's like, okay, now I get it. 210 00:11:13,120 --> 00:11:15,280 Speaker 4: Keitha, thanks so much for joining us here. What did 211 00:11:15,280 --> 00:11:16,600 Speaker 4: you make of the Spotify numbers? 212 00:11:17,920 --> 00:11:20,680 Speaker 7: I actually like the Spotify numbers, Paul. I mean, you know, 213 00:11:20,720 --> 00:11:22,920 Speaker 7: the big numbers that we always look for are, of course, 214 00:11:22,920 --> 00:11:25,600 Speaker 7: the user metrics. We want to see them kind of 215 00:11:25,640 --> 00:11:28,720 Speaker 7: do well on both monthly active users, which are basically 216 00:11:28,800 --> 00:11:31,520 Speaker 7: the free listeners, as well as the premium subscribers, which 217 00:11:31,559 --> 00:11:33,760 Speaker 7: is basically, you know, everyone paying about twelve dollars a 218 00:11:33,760 --> 00:11:36,880 Speaker 7: month for a Spotify subscription, and both those numbers came 219 00:11:36,920 --> 00:11:39,160 Speaker 7: in well ahead of guidance. The other number that we 220 00:11:39,240 --> 00:11:42,880 Speaker 7: look for in Spotify results is gross margin. This has 221 00:11:42,920 --> 00:11:46,800 Speaker 7: been you know, a constant point of debate, but Spotify 222 00:11:46,840 --> 00:11:50,000 Speaker 7: has done really well in terms of expanding their gross margin. 223 00:11:50,320 --> 00:11:54,240 Speaker 7: They again delivered numbers ahead of guidance both for you know, 224 00:11:54,400 --> 00:11:56,520 Speaker 7: third quarter as well as ahead of forecast for the 225 00:11:56,559 --> 00:11:59,800 Speaker 7: fourth quarter in terms of guidance. So fundamentals seem to 226 00:11:59,840 --> 00:12:03,480 Speaker 7: be really strong. I think the one concern, Paul, that 227 00:12:03,559 --> 00:12:06,000 Speaker 7: has really kind of emerged with Spotify over the past 228 00:12:06,040 --> 00:12:09,920 Speaker 7: few months is pricing power. You know, are they going 229 00:12:09,960 --> 00:12:13,680 Speaker 7: to keep you know, being able to increase prices? And 230 00:12:13,720 --> 00:12:16,000 Speaker 7: this is something that has dominated the conversation for not 231 00:12:16,080 --> 00:12:18,839 Speaker 7: just Spotify, but of course for any streaming company. We've 232 00:12:18,840 --> 00:12:22,000 Speaker 7: seen Netflix, as you just pointed out, demonstrate really good 233 00:12:22,040 --> 00:12:24,360 Speaker 7: pricing power. I think Spotify has very good pricing power 234 00:12:24,400 --> 00:12:27,000 Speaker 7: as well, but people are really waiting for the next 235 00:12:27,040 --> 00:12:30,520 Speaker 7: big US price hike to really gain more confidence in 236 00:12:30,559 --> 00:12:30,920 Speaker 7: the story. 237 00:12:31,320 --> 00:12:34,679 Speaker 2: Keith, what's the competitive landscape for Spotify out there? Because 238 00:12:34,800 --> 00:12:37,560 Speaker 2: as we think about the video business, it's Netflix and 239 00:12:37,559 --> 00:12:39,360 Speaker 2: then a kind of a big drop down to Disney 240 00:12:39,400 --> 00:12:41,360 Speaker 2: and then a bigger drop to kind of everybody else 241 00:12:41,559 --> 00:12:42,160 Speaker 2: fighting it out. 242 00:12:42,200 --> 00:12:44,920 Speaker 4: What's the landscape for in the audio business. 243 00:12:45,840 --> 00:12:49,199 Speaker 7: It's actually very similar, Paul. In fact, you know, Spotify 244 00:12:49,360 --> 00:12:51,920 Speaker 7: just leads by a wide, wide margin. So if you 245 00:12:52,040 --> 00:12:55,599 Speaker 7: just look at both the global audio streaming market in 246 00:12:55,679 --> 00:12:57,760 Speaker 7: terms of subscribers, they have about a thirty three percent 247 00:12:57,840 --> 00:13:01,319 Speaker 7: share globally. They have close to almost forty percent share 248 00:13:01,440 --> 00:13:04,800 Speaker 7: in the US market, so way ahead of their competitors. 249 00:13:04,840 --> 00:13:07,920 Speaker 7: So obviously gives them a lot of I think, you know, 250 00:13:08,200 --> 00:13:11,040 Speaker 7: again we come back to pricing power. Gives them definitely 251 00:13:11,040 --> 00:13:13,400 Speaker 7: a lot of pricing power in the market. 252 00:13:13,880 --> 00:13:16,599 Speaker 2: So what's the on the cost structure for them? What 253 00:13:16,880 --> 00:13:18,880 Speaker 2: are the real levers for them? It seems like you know, 254 00:13:18,960 --> 00:13:21,240 Speaker 2: the I know at Netflix and they got to write big, 255 00:13:21,240 --> 00:13:25,520 Speaker 2: big checks to you know, either license content or you know, 256 00:13:25,559 --> 00:13:27,000 Speaker 2: create their own content. 257 00:13:27,040 --> 00:13:29,120 Speaker 4: What's it like on the Spotify side. 258 00:13:30,040 --> 00:13:31,880 Speaker 7: Yeah, you bring up an excellent point, Paul, And this 259 00:13:31,920 --> 00:13:33,880 Speaker 7: has kind of again been one of the pain points 260 00:13:33,920 --> 00:13:36,880 Speaker 7: for Spotify because again, this is a music streaming service. 261 00:13:36,920 --> 00:13:41,520 Speaker 7: They don't own any of you know, the music music itself. 262 00:13:41,520 --> 00:13:44,920 Speaker 7: That's all kind of controlled by the labels, and as 263 00:13:44,960 --> 00:13:46,560 Speaker 7: you well know, content is king. 264 00:13:46,640 --> 00:13:48,079 Speaker 4: So this is really where. 265 00:13:47,840 --> 00:13:50,400 Speaker 7: Spotify has a lot of trouble because for every dollar 266 00:13:50,440 --> 00:13:53,719 Speaker 7: that they earned, about seventy cents goes back to the 267 00:13:53,840 --> 00:13:56,719 Speaker 7: music label, so they have very little leverage. They've been 268 00:13:56,840 --> 00:13:59,680 Speaker 7: trying to kind of change that whole dynamic, that whole 269 00:13:59,679 --> 00:14:02,240 Speaker 7: EQUI come up with more of their content. So a 270 00:14:02,240 --> 00:14:05,640 Speaker 7: big investment area for them has been you know, podcast 271 00:14:05,720 --> 00:14:08,440 Speaker 7: has been audiobooks where they kind of get better you know, 272 00:14:08,720 --> 00:14:09,720 Speaker 7: profit dynamics. 273 00:14:10,000 --> 00:14:11,120 Speaker 4: It has worked well. 274 00:14:11,760 --> 00:14:13,640 Speaker 7: But actually one of the things that we're kind of 275 00:14:13,679 --> 00:14:16,840 Speaker 7: looking for next year is we're going to see a 276 00:14:16,960 --> 00:14:20,440 Speaker 7: step up in all of the royalty costs. And that's 277 00:14:20,480 --> 00:14:23,360 Speaker 7: again something that the street and investors are a little 278 00:14:23,400 --> 00:14:26,880 Speaker 7: bit nervous about because we need to see how you know, 279 00:14:26,960 --> 00:14:30,720 Speaker 7: Spotify kind of manages their whole margin expansion story as 280 00:14:30,760 --> 00:14:34,240 Speaker 7: those royalty costs go up, So the amount that they're 281 00:14:34,280 --> 00:14:36,040 Speaker 7: paying all of the music labels, the warners, and the 282 00:14:36,080 --> 00:14:38,040 Speaker 7: universals of the world is going to go up slightly. 283 00:14:38,520 --> 00:14:40,080 Speaker 7: But we still think that they're in good shape. They've 284 00:14:40,080 --> 00:14:42,200 Speaker 7: been adding a ton of new features to all of 285 00:14:42,240 --> 00:14:45,920 Speaker 7: their tiers. They're probably going to debut some new tiers again. 286 00:14:46,000 --> 00:14:47,960 Speaker 7: All of that bills to that whole pricing, power and 287 00:14:48,000 --> 00:14:49,000 Speaker 7: monetization story. 288 00:14:49,320 --> 00:14:52,520 Speaker 2: And how is Apple as a competitor here, Because anytime 289 00:14:52,560 --> 00:14:56,080 Speaker 2: I see a company that's even remotely in competition Apple, 290 00:14:56,120 --> 00:14:56,800 Speaker 2: I get nervous. 291 00:14:58,440 --> 00:15:00,360 Speaker 7: So Apple, you know, if you're just kind of looking 292 00:15:00,400 --> 00:15:04,920 Speaker 7: at it. In terms of share, they are way below Spotify, 293 00:15:05,000 --> 00:15:07,520 Speaker 7: both globally as well as in the US market, so 294 00:15:07,720 --> 00:15:12,240 Speaker 7: not much of a competitor from from a share standpoint. 295 00:15:12,400 --> 00:15:15,680 Speaker 7: In fact, they've even priced their products slightly lower. Some 296 00:15:15,760 --> 00:15:18,320 Speaker 7: of the you know, some of the noise around Spotify 297 00:15:18,400 --> 00:15:20,760 Speaker 7: and Apple has been you know, in terms of the 298 00:15:20,800 --> 00:15:23,840 Speaker 7: iOS and whether you know, Spotify can kind of get 299 00:15:23,880 --> 00:15:26,400 Speaker 7: better terms, and they managed to do that as well, 300 00:15:26,640 --> 00:15:29,080 Speaker 7: So some of the changes on the iOS system have 301 00:15:29,160 --> 00:15:33,040 Speaker 7: actually helped Spotify in terms of getting a better market 302 00:15:33,040 --> 00:15:37,120 Speaker 7: share and getting better economics. Actually, so Apple Music not 303 00:15:37,240 --> 00:15:39,720 Speaker 7: too much of a worry for Spotify. 304 00:15:39,800 --> 00:15:41,920 Speaker 2: All right, let's switch gears to some of the big 305 00:15:42,000 --> 00:15:44,920 Speaker 2: cat media names you cover. I need to get an update, 306 00:15:45,120 --> 00:15:51,360 Speaker 2: Githa on Paramount, Warner Brothers, Discovery, Comcast, any movement forward 307 00:15:51,400 --> 00:15:53,880 Speaker 2: there or have to wait to the Allen Company conference 308 00:15:53,880 --> 00:15:54,440 Speaker 2: next summer to. 309 00:15:54,400 --> 00:15:55,360 Speaker 4: Get something done. 310 00:15:56,160 --> 00:15:58,240 Speaker 7: Yeah, we really don't know. We haven't heard anything. So 311 00:15:58,360 --> 00:16:01,480 Speaker 7: just a few days back, I think it was just 312 00:16:01,520 --> 00:16:03,640 Speaker 7: for last week and we heard that Netflix was kind 313 00:16:03,640 --> 00:16:06,760 Speaker 7: of poking around. So Warner Brothers Discovery at this point 314 00:16:06,760 --> 00:16:09,720 Speaker 7: has opened up their books to any of the interested parties. 315 00:16:10,560 --> 00:16:13,280 Speaker 7: There were news reports and Netflix is looking at some 316 00:16:13,360 --> 00:16:16,200 Speaker 7: of the financials of Warner Brothers Discovery. Again, this doesn't 317 00:16:16,200 --> 00:16:19,320 Speaker 7: necessarily mean that a bit is coming, but of course 318 00:16:19,440 --> 00:16:22,640 Speaker 7: anybody who you know has a chance, I'm sure, wants 319 00:16:22,680 --> 00:16:24,560 Speaker 7: to take a look at the Warner Brothers Discovery, especially 320 00:16:24,600 --> 00:16:26,280 Speaker 7: the studio and the streaming asset. So right now we 321 00:16:26,320 --> 00:16:29,440 Speaker 7: know Comcast is interested, we know Netflix is definitely interested, 322 00:16:29,640 --> 00:16:32,960 Speaker 7: and of course Paramount Skydance is interested. But again Paramoun 323 00:16:32,960 --> 00:16:36,080 Speaker 7: skid as interested for the whole company, so streaming studio 324 00:16:36,240 --> 00:16:37,680 Speaker 7: plus the TV networks. 325 00:16:37,920 --> 00:16:38,440 Speaker 5: So this is. 326 00:16:38,400 --> 00:16:41,040 Speaker 7: Again you know, I don't know it's how it's going 327 00:16:41,040 --> 00:16:43,040 Speaker 7: to play out, but hopefully we should get to hear 328 00:16:43,680 --> 00:16:47,360 Speaker 7: from you know, somebody pretty soon. Warner Brothers Discovery is 329 00:16:47,360 --> 00:16:49,200 Speaker 7: reporting a little later this week. 330 00:16:49,560 --> 00:16:51,720 Speaker 4: Boy. Yeah, you think about it, Gith. 331 00:16:51,800 --> 00:16:54,440 Speaker 2: I mean, you've got a company whose board and whose 332 00:16:54,440 --> 00:16:56,280 Speaker 2: CEO seems to be open to a deal. You would 333 00:16:56,280 --> 00:16:59,800 Speaker 2: think that something get happened quickly, but it's not. 334 00:16:59,880 --> 00:17:03,760 Speaker 7: How is it? Price has been a sticking point, Paul, 335 00:17:03,880 --> 00:17:07,200 Speaker 7: So we know that. Yeah, so we know that you know, 336 00:17:07,400 --> 00:17:09,320 Speaker 7: a paramount has come in with about twenty four dollars 337 00:17:09,400 --> 00:17:12,359 Speaker 7: a share. It looks like David's also was looking for 338 00:17:12,400 --> 00:17:15,359 Speaker 7: something north of thirty dollars, so again it's you know, 339 00:17:15,400 --> 00:17:17,600 Speaker 7: it's all going to come down to those negotiations. 340 00:17:17,640 --> 00:17:22,320 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 341 00:17:22,520 --> 00:17:26,480 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 342 00:17:26,680 --> 00:17:29,960 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 343 00:17:30,040 --> 00:17:33,919 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 344 00:17:33,960 --> 00:17:37,240 Speaker 1: can also watch us live every weekday on YouTube and 345 00:17:37,440 --> 00:17:39,400 Speaker 1: always on the Bloomberg terminal