1 00:00:02,720 --> 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 --> 00:00:18,560 Speaker 1: Easterned on Applecarplay and Android Auto with the Bloomberg Business App. 4 00:00:18,680 --> 00:00:21,880 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:22,000 --> 00:00:23,120 Speaker 1: us live on YouTube. 6 00:00:23,880 --> 00:00:27,440 Speaker 2: The stock story of the day is in vidiot. Always 7 00:00:27,560 --> 00:00:32,040 Speaker 2: highly anticipated. They reported numbers inline, guidance in line. But 8 00:00:32,120 --> 00:00:34,760 Speaker 2: it wasn't a beat and raised Like a lot of 9 00:00:34,800 --> 00:00:37,560 Speaker 2: investors had become accustomed to a lot of fuzziness in 10 00:00:38,000 --> 00:00:41,120 Speaker 2: the numbers and the estimates out there, whether to include 11 00:00:41,200 --> 00:00:43,400 Speaker 2: China revenue, not to include China revenue. Who are you 12 00:00:43,400 --> 00:00:46,080 Speaker 2: given the US government it's fifteen percent cut. I think 13 00:00:46,120 --> 00:00:47,800 Speaker 2: the numbers are kind of squishy out there, at least 14 00:00:47,800 --> 00:00:50,720 Speaker 2: in the near turn. It's a CFA term squishy. Cu 15 00:00:50,760 --> 00:00:53,080 Speaker 2: John Sabani. It's his job to kind of make sense 16 00:00:53,080 --> 00:00:56,840 Speaker 2: of it. He's a senior analyst covering semiconductors for Bloomberg Intelligence. 17 00:00:57,320 --> 00:00:59,720 Speaker 2: He's based out there in San Francisco. Cu John, love 18 00:00:59,760 --> 00:01:03,200 Speaker 2: to get your informed opinion about what you saw from 19 00:01:03,880 --> 00:01:05,399 Speaker 2: the good folks at in video last night. 20 00:01:07,120 --> 00:01:09,280 Speaker 3: Yeah, like you said, it was once again a solid 21 00:01:09,400 --> 00:01:13,800 Speaker 3: sprinted guide. It checked all the fundamental key boxes, but 22 00:01:14,200 --> 00:01:16,480 Speaker 3: as has been the case with this name, you know, 23 00:01:16,520 --> 00:01:19,920 Speaker 3: the expectations always run higher, and maybe not all the 24 00:01:20,000 --> 00:01:23,280 Speaker 3: numbers were able to clear that high hurdle of expectations. 25 00:01:23,520 --> 00:01:27,000 Speaker 3: Specifically the data center compute numbers in two Q. You 26 00:01:27,040 --> 00:01:28,960 Speaker 3: would have liked to see that come in a little 27 00:01:28,959 --> 00:01:31,280 Speaker 3: bit high. But there was still a lot of strong 28 00:01:31,840 --> 00:01:36,720 Speaker 3: positive underlyings. One, the networking was a significant bead, which 29 00:01:36,920 --> 00:01:40,039 Speaker 3: shows the strength and the attachment that they're getting from 30 00:01:40,120 --> 00:01:43,360 Speaker 3: their networking switches and chips in the Blackwell ramp. 31 00:01:43,600 --> 00:01:45,319 Speaker 4: Second, like you mentioned, the. 32 00:01:45,200 --> 00:01:49,040 Speaker 3: Three Q consensus had China included, and they still beat 33 00:01:49,280 --> 00:01:51,480 Speaker 3: their three Q guide without China. If you add in 34 00:01:51,560 --> 00:01:53,920 Speaker 3: the China guide of two to five billion, they would 35 00:01:53,920 --> 00:01:57,000 Speaker 3: have handsomely beaten the three Q numbers. So that noisy 36 00:01:57,200 --> 00:02:00,960 Speaker 3: sort of consensus shadowed the goodness is coming out of 37 00:02:01,000 --> 00:02:02,240 Speaker 3: the guide of Nvidia. 38 00:02:02,480 --> 00:02:06,040 Speaker 2: All right, So what's the company telling us now about China? 39 00:02:06,040 --> 00:02:08,160 Speaker 2: Guess quite frankly, I just I'm reading the press. I 40 00:02:08,200 --> 00:02:09,440 Speaker 2: don't know whether they're going to be able to sell 41 00:02:09,480 --> 00:02:12,040 Speaker 2: stuff in the China or when, or whether they're going 42 00:02:12,080 --> 00:02:14,280 Speaker 2: to have to give a fifteen percent cut to the 43 00:02:14,360 --> 00:02:15,040 Speaker 2: US government. 44 00:02:15,680 --> 00:02:16,640 Speaker 5: How's that going to play out? 45 00:02:17,160 --> 00:02:20,280 Speaker 3: Yeah, so China still remains, you know, after learning sort 46 00:02:20,320 --> 00:02:24,520 Speaker 3: of that overhang in terms of uncertainty. The company did 47 00:02:24,680 --> 00:02:28,200 Speaker 3: guide to a two to five billion revenues from the 48 00:02:28,280 --> 00:02:31,040 Speaker 3: age twenty in China next quarter, which is positive. 49 00:02:31,120 --> 00:02:33,760 Speaker 4: That means they feel confident that they'll. 50 00:02:33,560 --> 00:02:36,840 Speaker 3: At least be able to ship some and get some 51 00:02:36,960 --> 00:02:39,760 Speaker 3: of the revenues back. But yes, you know, the spark 52 00:02:39,840 --> 00:02:43,200 Speaker 3: here for the China story will not appear until we 53 00:02:43,320 --> 00:02:46,000 Speaker 3: have a clarity, and we believe until they have a 54 00:02:46,040 --> 00:02:49,360 Speaker 3: blackwell version of a China chip, which they get approval 55 00:02:49,400 --> 00:02:52,400 Speaker 3: from the government, that will end really open up a 56 00:02:52,440 --> 00:02:55,440 Speaker 3: massive amount of revenues coming from China. And there's a 57 00:02:55,440 --> 00:02:58,320 Speaker 3: lot of hurdle's unit to clear. Right, there's the government, 58 00:02:58,360 --> 00:03:00,320 Speaker 3: which has nothing to do with in media. The US 59 00:03:00,400 --> 00:03:03,400 Speaker 3: China relationship needs to get sorted out because now even 60 00:03:03,480 --> 00:03:06,480 Speaker 3: China can put in a roadblock from Nvidia selling or 61 00:03:07,000 --> 00:03:10,760 Speaker 3: allowing their companies in China from buying in media chip. 62 00:03:10,880 --> 00:03:12,799 Speaker 4: So there is work to be done. 63 00:03:13,160 --> 00:03:16,040 Speaker 3: As you mentioned, the fifteen percent cut is not ironed 64 00:03:16,080 --> 00:03:19,080 Speaker 3: out in terms of laws. There is We've heard new 65 00:03:19,160 --> 00:03:20,600 Speaker 3: stories about potential lawsuits. 66 00:03:20,639 --> 00:03:21,799 Speaker 4: So those two. 67 00:03:21,960 --> 00:03:26,240 Speaker 3: Government and geopolitical angle needs to be cleared before we 68 00:03:26,280 --> 00:03:29,200 Speaker 3: can start seeing billions of dollars of data center China 69 00:03:29,240 --> 00:03:30,079 Speaker 3: revenue coming. 70 00:03:29,880 --> 00:03:33,920 Speaker 2: In Ku John, we're what's the competitive landscape here for 71 00:03:33,919 --> 00:03:37,600 Speaker 2: these chip companies VISA, v in Nvidia and just kind 72 00:03:37,600 --> 00:03:40,120 Speaker 2: of positioning for AI. 73 00:03:40,320 --> 00:03:43,440 Speaker 5: I assume in Vidia's position A. Who's kind of B 74 00:03:43,520 --> 00:03:43,720 Speaker 5: and C. 75 00:03:45,760 --> 00:03:49,280 Speaker 3: Yeah, So you know this space is divided into two categories. 76 00:03:49,320 --> 00:03:51,840 Speaker 3: One is the merchant GPUs, which is what in Vdia 77 00:03:51,920 --> 00:03:56,920 Speaker 3: sells and dominates that landscape, this sort of second competitor there, 78 00:03:57,040 --> 00:04:00,600 Speaker 3: or the B is AMD, which is a very far distant. 79 00:04:00,600 --> 00:04:03,920 Speaker 3: You know, Nvidia today has about over ninety percent in 80 00:04:03,960 --> 00:04:07,640 Speaker 3: terms of revenue share and the remaining is going to 81 00:04:07,720 --> 00:04:08,720 Speaker 3: a very small to AMD. 82 00:04:09,000 --> 00:04:10,600 Speaker 4: But there's another piece, which is. 83 00:04:10,480 --> 00:04:12,640 Speaker 3: We call what we call A six, which is what 84 00:04:12,800 --> 00:04:16,400 Speaker 3: these big hyperscalers and cloud providers like Amazon and Google 85 00:04:16,680 --> 00:04:19,039 Speaker 3: designed their own chips. So that's sort of the other 86 00:04:19,120 --> 00:04:22,320 Speaker 3: competitive landscape where there's a risk of the A six 87 00:04:22,440 --> 00:04:26,480 Speaker 3: taking sort of share away from merchant GPUs even though 88 00:04:26,480 --> 00:04:29,520 Speaker 3: they don't compete directly for the same socket, they could 89 00:04:29,560 --> 00:04:30,720 Speaker 3: take away the wallet share. 90 00:04:31,520 --> 00:04:35,120 Speaker 2: And so does that mean companies like Nvidia have to 91 00:04:35,160 --> 00:04:37,479 Speaker 2: pour money into R and D for that next chip 92 00:04:37,520 --> 00:04:39,960 Speaker 2: to stay on front, because I know in your business 93 00:04:40,920 --> 00:04:42,240 Speaker 2: technology changes quickly. 94 00:04:43,760 --> 00:04:44,440 Speaker 4: Yeah, definitely. 95 00:04:44,440 --> 00:04:47,080 Speaker 3: I mean, look, and Media has been even before the 96 00:04:47,080 --> 00:04:49,599 Speaker 3: AI event happened, and Media has been the biggest R 97 00:04:49,640 --> 00:04:52,720 Speaker 3: and D spender. They have continued and this is what 98 00:04:52,839 --> 00:04:55,279 Speaker 3: really got them to the stage of being ahead of 99 00:04:55,320 --> 00:04:58,279 Speaker 3: everyone else, and they have to continue spending out spending 100 00:04:58,360 --> 00:05:01,760 Speaker 3: everyone else to sort of keep that lead. Their roadmap 101 00:05:01,800 --> 00:05:03,719 Speaker 3: for the next two and a half years does suggest 102 00:05:03,760 --> 00:05:06,120 Speaker 3: that they should be able to keep this lead handsomely, 103 00:05:06,440 --> 00:05:09,160 Speaker 3: and for that it will definitely require high R and 104 00:05:09,200 --> 00:05:09,719 Speaker 3: D spending. 105 00:05:10,560 --> 00:05:14,400 Speaker 2: So this name to me who I'm used to stocks 106 00:05:14,400 --> 00:05:16,760 Speaker 2: trading in, you know, much lower multiples in my world, 107 00:05:17,400 --> 00:05:19,840 Speaker 2: But this seems like a stock that can actually earn 108 00:05:19,880 --> 00:05:22,800 Speaker 2: its way, and we have seen it earn its way 109 00:05:22,960 --> 00:05:23,920 Speaker 2: into its multiple. 110 00:05:24,000 --> 00:05:25,800 Speaker 5: I mean, you can make an argument this is not 111 00:05:25,839 --> 00:05:26,880 Speaker 5: an expensive. 112 00:05:26,440 --> 00:05:29,680 Speaker 4: Stock, You're right. 113 00:05:29,720 --> 00:05:33,960 Speaker 3: I mean, if you look at from a historical perspective, 114 00:05:34,000 --> 00:05:37,240 Speaker 3: it's actually the multiple is much more lower than what 115 00:05:37,279 --> 00:05:39,479 Speaker 3: we have seen in media trade in the past two years. 116 00:05:39,960 --> 00:05:42,520 Speaker 3: So given that fact, and also when we look at 117 00:05:42,520 --> 00:05:45,919 Speaker 3: the relative comparison when you think about a company growing 118 00:05:45,960 --> 00:05:49,160 Speaker 3: at fifty percent and making revenue in the hundreds of billions, 119 00:05:49,160 --> 00:05:53,799 Speaker 3: that isn't unprecedented, especially growing with gross margins of seventy 120 00:05:53,920 --> 00:05:56,560 Speaker 3: mits or low seventy percent. I mean, you're talking about 121 00:05:56,600 --> 00:05:59,840 Speaker 3: a financial profile for software company, not a seving net company. 122 00:06:00,360 --> 00:06:04,000 Speaker 3: So definitely, when you take into those two things into account, 123 00:06:04,080 --> 00:06:07,719 Speaker 3: it does seem that it might not be really highly valuable. 124 00:06:08,120 --> 00:06:11,240 Speaker 2: Stay with us more from Bloomberg Intelligence coming up after this. 125 00:06:13,400 --> 00:06:17,039 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 126 00:06:17,200 --> 00:06:20,279 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 127 00:06:20,279 --> 00:06:23,599 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 128 00:06:23,640 --> 00:06:27,159 Speaker 1: you get your podcasts, or watch us live on YouTube. 129 00:06:27,920 --> 00:06:30,599 Speaker 2: Dollar General the stocks pretty much, they reported numbers, lifted 130 00:06:30,600 --> 00:06:33,240 Speaker 2: their guidance. Stock's flat today, but boy, it's a forty 131 00:06:33,320 --> 00:06:36,200 Speaker 2: seven percent year to date, so the street definitely likes 132 00:06:36,200 --> 00:06:38,799 Speaker 2: what's going on at DG. Let's talk to an expert 133 00:06:38,800 --> 00:06:41,239 Speaker 2: on this, Jen bartashes. She covers all the retail stuff 134 00:06:41,600 --> 00:06:45,000 Speaker 2: for Bloomberg Intelligence. Jen, what'd you take away from Dollar 135 00:06:45,040 --> 00:06:46,320 Speaker 2: General's results? 136 00:06:47,240 --> 00:06:51,320 Speaker 6: Yeah, Hi, Paul, you know, overall, the results were pretty encouraging, 137 00:06:52,000 --> 00:06:55,039 Speaker 6: and you know, we're looking at the consumer who is 138 00:06:55,080 --> 00:06:59,440 Speaker 6: willing to spend selectively, and the value proposition for people 139 00:06:59,480 --> 00:07:02,760 Speaker 6: who are in the discount space is really resonating. And 140 00:07:02,800 --> 00:07:05,919 Speaker 6: so the tactics that the companies put in place to 141 00:07:05,960 --> 00:07:09,039 Speaker 6: really improve store operations and things like that seem to 142 00:07:09,040 --> 00:07:11,200 Speaker 6: be gaining traction and drawing more people into the. 143 00:07:11,200 --> 00:07:14,119 Speaker 7: Stores, drawing more people into the stores, and drawing people 144 00:07:14,120 --> 00:07:17,960 Speaker 7: from different income strata as well. More higher income customers 145 00:07:17,960 --> 00:07:20,400 Speaker 7: are coming in. So that being the case, GEN does 146 00:07:20,480 --> 00:07:24,880 Speaker 7: it need to broaden its selection of products available to customers. 147 00:07:26,080 --> 00:07:28,400 Speaker 6: Well, I don't know that they need to broaden the selection, 148 00:07:28,560 --> 00:07:30,960 Speaker 6: but they need to be thoughtful about the selection that's 149 00:07:30,960 --> 00:07:33,720 Speaker 6: in the stores. I mean, these are small boxes, so 150 00:07:33,760 --> 00:07:36,800 Speaker 6: you have very limited space, and in order to retain 151 00:07:36,880 --> 00:07:40,480 Speaker 6: those higher income consumers from middle income, high income that 152 00:07:40,480 --> 00:07:42,920 Speaker 6: are coming into Dollar General, part of it is going 153 00:07:43,000 --> 00:07:44,680 Speaker 6: to be making sure that there are things that are 154 00:07:44,720 --> 00:07:48,440 Speaker 6: fresh and interesting but still at very good value. And 155 00:07:48,480 --> 00:07:50,360 Speaker 6: I think one of the interesting points is that Dollar 156 00:07:50,400 --> 00:07:53,160 Speaker 6: General has been able to maintain a selection of things 157 00:07:53,200 --> 00:07:56,160 Speaker 6: at one dollar price point, and when you think about it, 158 00:07:56,200 --> 00:07:58,800 Speaker 6: their biggest rival in the Dollars Tree, the dollar space. 159 00:07:58,840 --> 00:08:02,640 Speaker 6: Dollar Tree move to one twenty five as their baseline price, 160 00:08:02,720 --> 00:08:05,880 Speaker 6: So there's definitely some opportunity there to appeal to that 161 00:08:06,160 --> 00:08:10,000 Speaker 6: value seeker and give them something to be excited about. 162 00:08:10,520 --> 00:08:12,640 Speaker 2: So if I look on the back of or on 163 00:08:12,720 --> 00:08:15,240 Speaker 2: a tag for most of those items, I'm going to 164 00:08:15,280 --> 00:08:18,080 Speaker 2: see made in China or something like that. How are 165 00:08:18,120 --> 00:08:20,600 Speaker 2: they dealing with tariffs? How much are they passing on 166 00:08:20,640 --> 00:08:22,560 Speaker 2: to consumers versus maybe taking in their margin. 167 00:08:23,840 --> 00:08:26,240 Speaker 6: I think one of the advantages Dollar General has is 168 00:08:26,240 --> 00:08:29,440 Speaker 6: that they have a lot less exposure to imports than 169 00:08:29,520 --> 00:08:32,880 Speaker 6: most other retailers in the discount space, and that's really 170 00:08:32,920 --> 00:08:36,160 Speaker 6: because over eighty percent of their sales are consumables, which 171 00:08:36,240 --> 00:08:40,360 Speaker 6: is more food and household items, and the discretionary parts, 172 00:08:40,400 --> 00:08:43,559 Speaker 6: which would be the decorations, the apparel. That sort of 173 00:08:43,559 --> 00:08:46,360 Speaker 6: stuff is a much smaller part of their business, so 174 00:08:46,520 --> 00:08:48,880 Speaker 6: they're able to mitigate some of the costs they are. 175 00:08:49,200 --> 00:08:53,200 Speaker 6: They did talk about passing through prices when absolutely necessary, 176 00:08:54,040 --> 00:08:56,920 Speaker 6: but I think that's part of the solution for Dollar 177 00:08:56,960 --> 00:08:59,559 Speaker 6: General is that that product mix is playing in their 178 00:08:59,559 --> 00:09:00,440 Speaker 6: favor right now. 179 00:09:00,920 --> 00:09:03,960 Speaker 7: Right so they're like a smaller scale Walmart in many respects, 180 00:09:04,040 --> 00:09:08,720 Speaker 7: rather than a smaller scale five below for instance. So 181 00:09:08,920 --> 00:09:11,040 Speaker 7: given all of that, Jen, you had mentioned Dollar Tree 182 00:09:11,080 --> 00:09:13,679 Speaker 7: being one of the biggest competitors to Dollar General. That 183 00:09:13,720 --> 00:09:17,000 Speaker 7: company reports September third. How much can we take away 184 00:09:17,000 --> 00:09:19,240 Speaker 7: from Dollar General and apply it to Dollar Tree. 185 00:09:20,320 --> 00:09:21,920 Speaker 6: Well, I think Dollar Tree is in a bit of 186 00:09:21,960 --> 00:09:25,400 Speaker 6: a unique position because they've shed off the Family Dollar operations, 187 00:09:25,440 --> 00:09:28,400 Speaker 6: which means that they can really now focus on getting 188 00:09:28,440 --> 00:09:32,480 Speaker 6: Dollar Tree to function at the best that it possibly can. 189 00:09:33,240 --> 00:09:36,679 Speaker 6: I think that you have customers who are going into 190 00:09:36,720 --> 00:09:40,080 Speaker 6: Dollar Tree. They have a multi price point program that 191 00:09:40,080 --> 00:09:42,480 Speaker 6: they've been rolling out that's been doing pretty well. That 192 00:09:42,600 --> 00:09:45,680 Speaker 6: should help support some of the top line growth. It's 193 00:09:45,679 --> 00:09:47,720 Speaker 6: really going to be a question about margin for Dollar 194 00:09:47,760 --> 00:09:52,320 Speaker 6: Tree and how much tariffs are impacting them already, although 195 00:09:52,320 --> 00:09:55,080 Speaker 6: from what we've seen from other retailers, that impact may 196 00:09:55,120 --> 00:09:57,200 Speaker 6: still be delayed into further in the second half of 197 00:09:57,240 --> 00:10:00,840 Speaker 6: this year, just because they already had things in inventory 198 00:10:00,880 --> 00:10:01,920 Speaker 6: that they're currently selling. 199 00:10:02,760 --> 00:10:07,760 Speaker 2: So, Jen, in any town, USA, do these four dollars stores, 200 00:10:07,800 --> 00:10:10,319 Speaker 2: Dollar Tree, Dollar Rama all that did? They are they 201 00:10:10,360 --> 00:10:12,760 Speaker 2: all in the same town together? Is it more regionally 202 00:10:13,160 --> 00:10:13,720 Speaker 2: carved out? 203 00:10:14,920 --> 00:10:18,160 Speaker 6: Well, Dollar General by far has the greatest penetration into 204 00:10:18,160 --> 00:10:21,360 Speaker 6: what you would call rural America and so you find 205 00:10:21,400 --> 00:10:24,240 Speaker 6: them in very small communities sometimes is one of the 206 00:10:24,800 --> 00:10:28,040 Speaker 6: key retailers in very small towns. When you look at 207 00:10:28,120 --> 00:10:30,440 Speaker 6: like Family Dollar, it tends to skew a little bit 208 00:10:30,520 --> 00:10:33,240 Speaker 6: more urban. There is some there is some rural presence, 209 00:10:33,240 --> 00:10:35,920 Speaker 6: but not nearly as much. And they're in the process 210 00:10:35,960 --> 00:10:39,040 Speaker 6: of closing a lot of stores for the other dollar, 211 00:10:39,400 --> 00:10:42,400 Speaker 6: you know, the other dollar in low price you know, 212 00:10:42,480 --> 00:10:45,640 Speaker 6: providers like A five below. They're still in the growth stage, 213 00:10:46,040 --> 00:10:48,680 Speaker 6: so they don't have nearly a number of stores. You know. 214 00:10:48,720 --> 00:10:51,320 Speaker 6: You have to remember Dollar General has over twenty thousand 215 00:10:51,360 --> 00:10:55,319 Speaker 6: store locations just the United States, so it is pervasive 216 00:10:55,480 --> 00:10:57,240 Speaker 6: through a lot of smaller communities. 217 00:10:57,920 --> 00:10:59,320 Speaker 5: That's amazing. I didn't know that. 218 00:10:59,320 --> 00:11:02,240 Speaker 7: That is pretty remarkable. Now now that Dollar Tree is 219 00:11:02,280 --> 00:11:05,080 Speaker 7: shedding Family Dollar, what kind of opportunities does that provide 220 00:11:05,080 --> 00:11:05,880 Speaker 7: for Dollar General. 221 00:11:07,280 --> 00:11:11,000 Speaker 6: Well, it certainly gives an opportunity to look, especially where 222 00:11:11,120 --> 00:11:13,880 Speaker 6: stores are closing, in terms of gaining market share, but 223 00:11:13,960 --> 00:11:18,920 Speaker 6: it's also about re asserting value position and you know, 224 00:11:19,040 --> 00:11:23,000 Speaker 6: capturing customers that have been dissatisfied or who may be 225 00:11:23,120 --> 00:11:26,960 Speaker 6: looking for another alternative. We also saw Party City close, 226 00:11:27,120 --> 00:11:29,720 Speaker 6: you know, last year and into the beginning of this year, 227 00:11:29,760 --> 00:11:33,000 Speaker 6: and so you know there are there are strategic opportunities 228 00:11:33,040 --> 00:11:35,560 Speaker 6: where they can go after you know, some of those 229 00:11:35,600 --> 00:11:38,679 Speaker 6: types of occasions that historically people might not have gone 230 00:11:38,720 --> 00:11:39,679 Speaker 6: to Dollar General for. 231 00:11:40,120 --> 00:11:43,240 Speaker 5: Say, with us. More from Bloomberg Intelligence coming up after this. 232 00:11:45,400 --> 00:11:49,120 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us Live 233 00:11:49,200 --> 00:11:51,880 Speaker 1: weekdays at ten a m. Eastern on Apple, Cocklay and 234 00:11:51,880 --> 00:11:55,160 Speaker 1: Android Auto with the Bloomberg Business app. Listen on demand 235 00:11:55,200 --> 00:11:59,200 Speaker 1: wherever you get your podcasts, or watch US live on YouTube. 236 00:12:00,160 --> 00:12:02,240 Speaker 5: One of the ones I always like is Dick's Sporting Goods. 237 00:12:02,240 --> 00:12:04,760 Speaker 2: Give a sense of how the sporting goods business is doing, 238 00:12:05,320 --> 00:12:07,640 Speaker 2: and they reported some number stock trading off a little bit. 239 00:12:07,640 --> 00:12:07,840 Speaker 4: Here. 240 00:12:07,880 --> 00:12:12,560 Speaker 2: Lindsay Dutch joins US Consumer Hardlines senior analyst from Bloomberg Intelligence. Lindsay, 241 00:12:12,600 --> 00:12:14,559 Speaker 2: talk to us about dick Sporting Goods. What did they 242 00:12:14,880 --> 00:12:16,800 Speaker 2: report most recently. 243 00:12:16,559 --> 00:12:19,800 Speaker 8: Hi, Paul, thanks for having me. Yes, Dick's Sporting Goods 244 00:12:19,840 --> 00:12:24,319 Speaker 8: had another strong quarter five percent same story growth. That's 245 00:12:24,320 --> 00:12:27,960 Speaker 8: an acceleration sequentially and year over year. You know they're 246 00:12:28,000 --> 00:12:33,679 Speaker 8: seeing strength across apparel, footwear, team sports, and golf. So 247 00:12:33,720 --> 00:12:37,040 Speaker 8: a strong quarter, but the stock is trading off, and 248 00:12:37,080 --> 00:12:39,320 Speaker 8: I think a lot of that is sort of a 249 00:12:39,360 --> 00:12:42,400 Speaker 8: conservative outlook for the second half, you know, with some 250 00:12:42,679 --> 00:12:46,000 Speaker 8: uncertainty and a lot of investors are still worried about 251 00:12:46,000 --> 00:12:49,960 Speaker 8: the incorporation of Footlocker. With that deal to close in September, talk. 252 00:12:49,880 --> 00:12:51,640 Speaker 5: Just about the foot Locker deal, what's the upside there? 253 00:12:52,440 --> 00:12:54,520 Speaker 8: Yeah, So the Footlocker deal is a little bit different 254 00:12:54,600 --> 00:12:57,880 Speaker 8: for DIS in terms of, you know, it leans a 255 00:12:57,880 --> 00:13:01,440 Speaker 8: little bit more towards lifestyle rather than sport. It is 256 00:13:01,640 --> 00:13:04,840 Speaker 8: it is a big acquisition, you're talking about adding about 257 00:13:05,200 --> 00:13:10,480 Speaker 8: eight billion dollars in revenue. It also Footlocker skews to 258 00:13:10,640 --> 00:13:14,040 Speaker 8: a lower income consumer and they have mall based stores, 259 00:13:14,080 --> 00:13:16,560 Speaker 8: so it's a little bit of a different animal for DIS. 260 00:13:16,800 --> 00:13:20,040 Speaker 8: You know, Dix has proven their own turnaround over the 261 00:13:20,080 --> 00:13:23,000 Speaker 8: past couple of years and they really have strong demand 262 00:13:23,080 --> 00:13:25,600 Speaker 8: with their assortment, but they're going to have to show 263 00:13:25,679 --> 00:13:28,319 Speaker 8: that they can do that again with Footlocker. 264 00:13:29,040 --> 00:13:33,640 Speaker 7: Is there is there a carefully articulated strategy about integrating 265 00:13:33,640 --> 00:13:36,679 Speaker 7: Footlocker into Dix or I know they said that they're 266 00:13:36,679 --> 00:13:38,840 Speaker 7: going to run as separate business unit. So I'm wondering, 267 00:13:38,880 --> 00:13:41,040 Speaker 7: what's the point of buying footlocker then. 268 00:13:42,800 --> 00:13:46,239 Speaker 8: So you're right correct, they're going to keep the footlocker banners, 269 00:13:46,360 --> 00:13:49,199 Speaker 8: They're going to keep the stores there. As a customer, 270 00:13:49,280 --> 00:13:52,760 Speaker 8: you might not even know that Dix has made this purchase. 271 00:13:53,440 --> 00:13:58,160 Speaker 8: I think the big thing for Dix is expanding, you know, 272 00:13:58,360 --> 00:14:03,280 Speaker 8: their customer reach and therefore the longer term opportunity for 273 00:14:03,360 --> 00:14:07,600 Speaker 8: the company as a whole. So, like I said, you know, 274 00:14:07,640 --> 00:14:11,760 Speaker 8: Dicks already caters to more of a sports type focused customer, 275 00:14:12,280 --> 00:14:14,800 Speaker 8: you know, a higher income consumer. A foot locker is 276 00:14:14,800 --> 00:14:19,680 Speaker 8: bringing a whole nother consumer set to two Dicks, and 277 00:14:19,720 --> 00:14:22,480 Speaker 8: they're going to really try to lean into their expertise 278 00:14:22,560 --> 00:14:26,080 Speaker 8: on assortment, bring newness to footwear, bring a little bit 279 00:14:26,080 --> 00:14:29,360 Speaker 8: more apparel into those foot locker stores, and they're going 280 00:14:29,400 --> 00:14:32,320 Speaker 8: to try to gain market share, you know, with this 281 00:14:32,440 --> 00:14:33,200 Speaker 8: broader reach. 282 00:14:34,080 --> 00:14:38,360 Speaker 2: Lindsay, what are the the the. 283 00:14:37,120 --> 00:14:39,000 Speaker 5: The Dicks of the world, the footlockers, the lord. 284 00:14:39,000 --> 00:14:41,640 Speaker 2: What are they saying about tariffs and how much they're 285 00:14:41,680 --> 00:14:43,600 Speaker 2: going to take in the margin, how much they're going 286 00:14:43,640 --> 00:14:45,360 Speaker 2: to pass a on the consumers. What's the because I 287 00:14:45,400 --> 00:14:47,400 Speaker 2: think a lot of sneakers come from China. 288 00:14:49,120 --> 00:14:52,320 Speaker 8: Yes, So Diggs noted that they have seen you know, 289 00:14:52,520 --> 00:14:57,240 Speaker 8: some price increases they sound more sporadic in nature. That's 290 00:14:57,280 --> 00:15:00,400 Speaker 8: relatively consistent with the other you know, coverge in my 291 00:15:00,560 --> 00:15:04,280 Speaker 8: retail universe. You know, we're seeing very few retailers you 292 00:15:04,440 --> 00:15:07,880 Speaker 8: to take every single item up by a certain amount. 293 00:15:08,800 --> 00:15:13,640 Speaker 8: So the price increases are coming in more selectively. They're 294 00:15:14,120 --> 00:15:17,360 Speaker 8: most easily passed through to the consumer when it's a 295 00:15:17,560 --> 00:15:21,720 Speaker 8: new product, you know, something that people are willing to 296 00:15:21,800 --> 00:15:26,040 Speaker 8: pay up for anyway, so you know they have seen, 297 00:15:26,320 --> 00:15:30,160 Speaker 8: you know, new things coming from saying Nike for example, 298 00:15:31,080 --> 00:15:33,160 Speaker 8: you may be able to get that customer to just 299 00:15:33,240 --> 00:15:36,960 Speaker 8: take on that price increase in terms of margin. When 300 00:15:36,960 --> 00:15:40,000 Speaker 8: I think about Dix, you know they're still expecting expansion 301 00:15:40,440 --> 00:15:43,480 Speaker 8: both on the growth basis and on an operating basis 302 00:15:43,920 --> 00:15:46,920 Speaker 8: this year. You know, they are trying to manage costs 303 00:15:46,960 --> 00:15:50,000 Speaker 8: as well, but this company is also investing. They're opening 304 00:15:50,000 --> 00:15:54,360 Speaker 8: new stores, and so that that is adding you know, 305 00:15:54,400 --> 00:15:56,760 Speaker 8: additional cost pressure, not just on on. 306 00:15:56,680 --> 00:15:57,760 Speaker 6: The product side. 307 00:15:58,440 --> 00:16:00,320 Speaker 5: So Lindia, I got to ask you about that, spy 308 00:16:00,360 --> 00:16:00,680 Speaker 5: as well. 309 00:16:00,760 --> 00:16:03,560 Speaker 7: The stock is down more than six percent in early trading, 310 00:16:04,680 --> 00:16:07,480 Speaker 7: even though the second quarter did beat analyssessments and the 311 00:16:07,520 --> 00:16:12,360 Speaker 7: company ended fourteen straight quarters of quarterly sales declines. What 312 00:16:12,520 --> 00:16:13,840 Speaker 7: has investors disappointed? 313 00:16:15,720 --> 00:16:18,760 Speaker 8: I think the real worry bead for Best Buy is 314 00:16:18,880 --> 00:16:22,520 Speaker 8: demand for second half. So even this year, you know, 315 00:16:22,640 --> 00:16:24,600 Speaker 8: just for the first eight months of the year has 316 00:16:24,640 --> 00:16:25,400 Speaker 8: been a little bit of. 317 00:16:25,320 --> 00:16:26,840 Speaker 5: A wild ride for Best Buy. 318 00:16:26,960 --> 00:16:30,160 Speaker 8: You know, we came into the year with positive demand momentum, 319 00:16:30,360 --> 00:16:33,880 Speaker 8: things were looking good, you know, then we got tariff announcements, 320 00:16:33,920 --> 00:16:36,360 Speaker 8: we had to roll back guidance. You know, there was 321 00:16:36,400 --> 00:16:39,360 Speaker 8: a lot more uncertainty, and now we're flipping back with 322 00:16:39,440 --> 00:16:42,480 Speaker 8: these results to more on the positive side. So I 323 00:16:42,520 --> 00:16:46,480 Speaker 8: think there's concern entering the second half of the year 324 00:16:46,880 --> 00:16:49,880 Speaker 8: about you know, where demand is going to shake out. 325 00:16:50,040 --> 00:16:53,840 Speaker 8: We did see strength, you know, in gaming, particularly with 326 00:16:53,920 --> 00:16:59,120 Speaker 8: the Nintendo switch to for the second quarter. We're seeing 327 00:16:59,120 --> 00:17:03,560 Speaker 8: momentum continue in computing and phones for the third quarter. 328 00:17:04,000 --> 00:17:08,120 Speaker 8: All of that is positive, but home theater and appliances 329 00:17:08,440 --> 00:17:11,440 Speaker 8: have sort of remained weak for Best Buy, and at 330 00:17:11,440 --> 00:17:14,480 Speaker 8: home theater entertainment category, that's a really big one. 331 00:17:14,320 --> 00:17:17,360 Speaker 5: For the fourth quarter. Stay with us. More from Bloomberg 332 00:17:17,400 --> 00:17:19,000 Speaker 5: Intelligence coming up after this. 333 00:17:21,160 --> 00:17:24,840 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us Live 334 00:17:24,920 --> 00:17:28,040 Speaker 1: weekdays at ten am Eastern on Apple Cocklay and Android 335 00:17:28,040 --> 00:17:31,360 Speaker 1: Auto with the Bloomberg Business app, Listen on demand wherever 336 00:17:31,400 --> 00:17:34,520 Speaker 1: you get your podcasts, or watch us live on YouTube. 337 00:17:35,560 --> 00:17:37,880 Speaker 7: We want to go back to company news and how 338 00:17:37,880 --> 00:17:40,800 Speaker 7: the NASAC is the lone index there that is really 339 00:17:40,800 --> 00:17:42,679 Speaker 7: moving higher right now. A lot of it can be 340 00:17:42,800 --> 00:17:47,560 Speaker 7: due to earnings from companies like Snowflake, like CrowdStrike, not 341 00:17:47,600 --> 00:17:49,960 Speaker 7: necessarily do in video, which is lower. So let's bring 342 00:17:49,960 --> 00:17:54,360 Speaker 7: in Mandeep seeing Bloomberg Intelligence senior tech industry analysts, and Mandep, 343 00:17:54,359 --> 00:17:56,720 Speaker 7: I want to start on I wanted to start on 344 00:17:56,760 --> 00:17:58,719 Speaker 7: CrowdStrike because I know what they do, but I'm going 345 00:17:58,760 --> 00:18:01,560 Speaker 7: to go to Snowflake, which is up about eighteen and 346 00:18:01,560 --> 00:18:03,639 Speaker 7: a half percent trading right now. It's another one of 347 00:18:03,680 --> 00:18:06,560 Speaker 7: these enterprise software companies that there are so many of. 348 00:18:07,080 --> 00:18:10,760 Speaker 7: So let's talk first about what Snowflake said that got 349 00:18:10,800 --> 00:18:13,960 Speaker 7: investors so excited and how tied the AI story it is. 350 00:18:14,359 --> 00:18:17,720 Speaker 9: Yeah, I mean, Snowflake is another one of those database 351 00:18:17,800 --> 00:18:22,560 Speaker 9: analytics companies that got beaten up because everyone thought lms 352 00:18:22,680 --> 00:18:26,760 Speaker 9: will take share from them. And there's been a pretty 353 00:18:26,760 --> 00:18:30,480 Speaker 9: wide spectrum when you look at the valuations for database 354 00:18:30,520 --> 00:18:32,919 Speaker 9: and analytics companies. On the one hand, you've got a 355 00:18:32,960 --> 00:18:36,919 Speaker 9: palenteer that's trading at almost one hundred times sales, not 356 00:18:37,080 --> 00:18:40,600 Speaker 9: earning sales. And on the other hand, you've got you know, 357 00:18:40,640 --> 00:18:44,680 Speaker 9: players like Snowflake that are at a much more reasonable valuation. 358 00:18:44,800 --> 00:18:47,719 Speaker 9: Mango dB, I mean, the stock is up almost fifty 359 00:18:47,760 --> 00:18:52,359 Speaker 9: percent since they reported earning three days back. So to 360 00:18:52,400 --> 00:18:55,520 Speaker 9: answer your question, what they said was they are now 361 00:18:55,600 --> 00:19:01,200 Speaker 9: participating in this AI agent deployment. Basically, all these enterprises 362 00:19:01,240 --> 00:19:04,520 Speaker 9: who are renting the GPU capacities, who are trying to 363 00:19:04,560 --> 00:19:09,239 Speaker 9: build a product on chat GPT, they're actually deploying that 364 00:19:09,320 --> 00:19:12,840 Speaker 9: in production. Now that AI agent, customer service agent, or 365 00:19:12,880 --> 00:19:16,880 Speaker 9: that search chat pot is getting deployed with enterprise data. 366 00:19:16,960 --> 00:19:20,359 Speaker 9: And that is what I think is helping someone like Snowflake, 367 00:19:20,680 --> 00:19:24,080 Speaker 9: which caters to enterprises. But everyone thought they would be 368 00:19:24,119 --> 00:19:27,720 Speaker 9: disintermediated with the chat GPT solving all the problems. So 369 00:19:27,800 --> 00:19:30,480 Speaker 9: that's not the case. That's why Mango dB did well, 370 00:19:30,520 --> 00:19:33,399 Speaker 9: That's why Snowflake did well. Not every company is going 371 00:19:33,440 --> 00:19:36,600 Speaker 9: to participate like that, but clearly these companies have, and 372 00:19:36,640 --> 00:19:39,280 Speaker 9: that's why you're seeing their stock getting bid up. 373 00:19:39,400 --> 00:19:42,399 Speaker 2: So these I guess, I know, I guess they're classified 374 00:19:42,400 --> 00:19:44,360 Speaker 2: as infrastructure software. 375 00:19:44,040 --> 00:19:47,960 Speaker 9: Yeah, databases yeah, and their databases yeah. 376 00:19:48,000 --> 00:19:51,680 Speaker 2: And so databases you're going they're going to have value 377 00:19:51,720 --> 00:19:53,800 Speaker 2: in an AI world, right. I would just think it's 378 00:19:53,880 --> 00:19:56,960 Speaker 2: the raw material of data for this launch language model. 379 00:19:57,080 --> 00:19:59,879 Speaker 9: You go back in the last thirty years, database is 380 00:20:00,080 --> 00:20:03,400 Speaker 9: one of the stickiest business. Like think of Oracle database. 381 00:20:03,960 --> 00:20:09,240 Speaker 9: Nobody was able to get rid of their Oracle database databases. Look, 382 00:20:09,320 --> 00:20:12,480 Speaker 9: I mean, and that's why databases are like so hard 383 00:20:12,520 --> 00:20:17,000 Speaker 9: to displace. Once your data is in a like particular products, 384 00:20:17,080 --> 00:20:21,240 Speaker 9: database I cuturally migrated. I mean, there's no way out. 385 00:20:21,240 --> 00:20:24,240 Speaker 9: Technology will come, they will be AI. What do you 386 00:20:24,280 --> 00:20:27,640 Speaker 9: train AI on? It's your data, right, So your custom 387 00:20:27,760 --> 00:20:31,639 Speaker 9: data is still in that product, and that's why mainframes 388 00:20:31,640 --> 00:20:35,600 Speaker 9: are still around. So from that standpoint, I think database 389 00:20:36,000 --> 00:20:38,600 Speaker 9: when you look at their gross retention, their net retention, 390 00:20:38,720 --> 00:20:43,000 Speaker 9: their metrics are always better than application software. You can 391 00:20:43,080 --> 00:20:46,480 Speaker 9: replace your application software with a chat GPT product that 392 00:20:46,520 --> 00:20:47,800 Speaker 9: can automate the whole thing. 393 00:20:47,960 --> 00:20:48,280 Speaker 4: I see. 394 00:20:48,320 --> 00:20:51,679 Speaker 9: But that's where the stickiness comes from. And you know, 395 00:20:51,760 --> 00:20:54,640 Speaker 9: the pendulum keeps swinging. I mean, the market was very 396 00:20:54,680 --> 00:20:57,800 Speaker 9: bearish on these companies for a while, but now they're realizing, 397 00:20:57,840 --> 00:21:00,600 Speaker 9: oh guess what they will participate in this AI deployment, 398 00:21:00,640 --> 00:21:03,720 Speaker 9: and I think Snowflake is definitely one open. 399 00:21:03,960 --> 00:21:08,600 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 400 00:21:08,800 --> 00:21:12,760 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 401 00:21:12,960 --> 00:21:16,240 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 402 00:21:16,320 --> 00:21:20,199 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 403 00:21:20,240 --> 00:21:23,520 Speaker 1: can also watch us live every weekday on YouTube and 404 00:21:23,720 --> 00:21:25,680 Speaker 1: always on the Bloomberg terminal