1 00:00:02,520 --> 00:00:10,440 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. This is a breaking 2 00:00:10,520 --> 00:00:15,440 Speaker 1: news update from Bloomberg. Instant reaction and analysis from our 3 00:00:15,480 --> 00:00:18,439 Speaker 1: three thousand journalists and analysts around the world. 4 00:00:18,560 --> 00:00:20,400 Speaker 2: Yeah, let's go right to Tesla. It just crossed the 5 00:00:20,400 --> 00:00:23,880 Speaker 2: Bloomberg terminal. First quarter adjusted EPs folks forty one cents 6 00:00:23,880 --> 00:00:26,640 Speaker 2: a share, seven cents better than what the street was expecting. 7 00:00:28,360 --> 00:00:29,320 Speaker 1: That was. 8 00:00:29,600 --> 00:00:33,839 Speaker 2: That's a justed EPs, first quarter gross margin coming in 9 00:00:33,960 --> 00:00:37,519 Speaker 2: stronger than forecasts, certainly a side of profitability twenty one 10 00:00:37,520 --> 00:00:41,160 Speaker 2: point one percent versus an estimate of seventeen point seven percent. 11 00:00:41,200 --> 00:00:44,440 Speaker 2: First quarter revenue coming in slightly higher than what the 12 00:00:44,440 --> 00:00:47,760 Speaker 2: street was forecasting tim twenty two point thirty nine billion. 13 00:00:47,800 --> 00:00:50,600 Speaker 2: The street estimate was for twenty two point nineteen billion. 14 00:00:50,720 --> 00:00:52,960 Speaker 1: Okay, So some other headlines crossing the Bloomberg turnel. You 15 00:00:52,960 --> 00:00:54,840 Speaker 1: mentioned free cash flow, but worth repeating because it is 16 00:00:54,840 --> 00:00:57,480 Speaker 1: a redhead. Carol first quarter free cash flow one point 17 00:00:57,600 --> 00:00:59,720 Speaker 1: four to four billion, the estimates for a negative one 18 00:00:59,720 --> 00:01:04,840 Speaker 1: point eight six billion. The Tesla communications around earnings are 19 00:01:04,920 --> 00:01:07,319 Speaker 1: a slide deck, so it's kind of tough to go through. 20 00:01:07,640 --> 00:01:10,880 Speaker 1: But Tesla says that the cybercab the Tesla semi, the 21 00:01:10,959 --> 00:01:14,240 Speaker 1: megacap production starting in twenty twenty six, so that's this year. 22 00:01:14,560 --> 00:01:17,520 Speaker 1: Tesla also saying the first gen production lines for Optimists, 23 00:01:17,520 --> 00:01:21,520 Speaker 1: that's the humanoid robot, are being installed. Tesla also saying 24 00:01:21,520 --> 00:01:25,360 Speaker 1: that Cybercab and the Tesla Semi are on schedule for 25 00:01:25,400 --> 00:01:28,959 Speaker 1: twenty twenty six. The company says seeing its rebounds and 26 00:01:29,000 --> 00:01:33,399 Speaker 1: demand for EMEA and North America. And we should note 27 00:01:33,400 --> 00:01:36,160 Speaker 1: that the company also says that tailwinds are persisting for 28 00:01:36,200 --> 00:01:39,080 Speaker 1: the US autos business, and it received approval for full 29 00:01:39,080 --> 00:01:41,200 Speaker 1: self driving in the Netherlands in April. 30 00:01:41,280 --> 00:01:43,880 Speaker 2: All Right, the stock, as you see though, investors liking 31 00:01:43,920 --> 00:01:46,800 Speaker 2: what it has to say about the first quarter in 32 00:01:46,920 --> 00:01:50,520 Speaker 2: terms of a lot of those metrics actually looking better 33 00:01:50,560 --> 00:01:56,600 Speaker 2: than forecast and again looking at some of the individual businesses. 34 00:01:56,640 --> 00:02:00,800 Speaker 2: The company also saying it launched unsupervised robotaxi in Dallas 35 00:02:00,880 --> 00:02:06,240 Speaker 2: and Houston. As you mentioned, tailwinds persisting for the autos business, 36 00:02:06,240 --> 00:02:09,639 Speaker 2: first gen production lines for optimists being installed. So much 37 00:02:09,639 --> 00:02:12,640 Speaker 2: of the Tesla story is about what it's going to 38 00:02:12,680 --> 00:02:16,000 Speaker 2: be done. It's classic vintage, if you will. At this point, 39 00:02:16,000 --> 00:02:18,800 Speaker 2: Elon Musk and we know we've talked a lot we're 40 00:02:18,840 --> 00:02:23,919 Speaker 2: anticipating the SpaceX ipo speculation. Does everything get rolled into 41 00:02:23,960 --> 00:02:28,200 Speaker 2: one company under the Tesla umbrella, whether it's the AI business, 42 00:02:28,240 --> 00:02:31,920 Speaker 2: and how does everything work together? And that is certainly 43 00:02:31,919 --> 00:02:34,000 Speaker 2: something we're watching and we'll be watching out for on 44 00:02:34,040 --> 00:02:34,920 Speaker 2: the call to Yeah. 45 00:02:34,919 --> 00:02:38,360 Speaker 1: On that, the question is about what the identity of 46 00:02:38,360 --> 00:02:40,680 Speaker 1: this company is. Investors are not, and have not for 47 00:02:40,800 --> 00:02:42,720 Speaker 1: years valued it as a car company. Many people who 48 00:02:42,760 --> 00:02:44,840 Speaker 1: are bullish on the company say it's about AI, it's 49 00:02:44,840 --> 00:02:48,000 Speaker 1: about autonomy, it's about creating that fleet of robotaxis. You 50 00:02:48,040 --> 00:02:51,200 Speaker 1: mentioned that it launched on supervised robotaxi rides in Dallas 51 00:02:51,200 --> 00:02:54,200 Speaker 1: and Houston. The company also saying that robotaximile is about 52 00:02:54,200 --> 00:02:59,120 Speaker 1: doubled sequentially. That's a measurement that Weimo uses as well 53 00:02:59,360 --> 00:03:02,080 Speaker 1: to kate the scale usage. 54 00:03:02,080 --> 00:03:03,760 Speaker 2: You're testing a little bit of both exactly. 55 00:03:03,840 --> 00:03:08,040 Speaker 1: Well, this is usage right, yeah, but not everywhere, and 56 00:03:08,080 --> 00:03:10,839 Speaker 1: it's the rollout is not as far and wide as 57 00:03:10,880 --> 00:03:11,600 Speaker 1: it is for Weimo. 58 00:03:11,840 --> 00:03:14,760 Speaker 2: Dana Hall on our live blog, senior reporter here at Bloomberg, 59 00:03:14,760 --> 00:03:17,680 Speaker 2: has been covering Tesla. She's saying Tesla saying high up 60 00:03:17,720 --> 00:03:20,359 Speaker 2: in the deck that demand has returned. Here's the quote. 61 00:03:20,400 --> 00:03:22,760 Speaker 2: We saw continued growth and demand for our vehicles in 62 00:03:22,800 --> 00:03:25,840 Speaker 2: markets in APAC and South America, while also seeing a 63 00:03:25,880 --> 00:03:29,919 Speaker 2: rebound of demand in both the emerging markets and also 64 00:03:29,960 --> 00:03:31,680 Speaker 2: in Africa and in North America. 65 00:03:31,960 --> 00:03:35,720 Speaker 1: Okay, look at that Tesla shares hire right now, as 66 00:03:35,760 --> 00:03:38,119 Speaker 1: we mentioned, just by about three point four percent. First 67 00:03:38,160 --> 00:03:41,960 Speaker 1: quarter adjusted gross margin excluding regulatory credits was nineteen point 68 00:03:42,000 --> 00:03:45,360 Speaker 1: two percent. That's up from twelve point five percent year 69 00:03:45,400 --> 00:03:50,360 Speaker 1: over year. The headlines, though, that are important for our audience. 70 00:03:50,400 --> 00:03:53,200 Speaker 1: Tesla first quarterd justin internings per share coming in above 71 00:03:53,280 --> 00:03:55,880 Speaker 1: estimates at forty one cents, the estimates for thirty four cents. 72 00:03:55,920 --> 00:03:58,560 Speaker 1: First quarter free cash flow one point four to four billion. 73 00:03:58,600 --> 00:04:01,720 Speaker 1: The estimate was for negative one point eight six billion dollars. 74 00:04:01,760 --> 00:04:02,360 Speaker 3: All right with us? 75 00:04:02,400 --> 00:04:05,080 Speaker 2: As Steve Man, Global autos and Industrial's Research manager at 76 00:04:05,080 --> 00:04:08,400 Speaker 2: Bloomberg Intelligence. He joins us from BI headquarters in Princeton, 77 00:04:08,440 --> 00:04:11,280 Speaker 2: New Jersey. Steve come on in lots of moving parts, 78 00:04:11,800 --> 00:04:14,240 Speaker 2: certainly when it comes to Tesla, but it was originally 79 00:04:14,280 --> 00:04:17,160 Speaker 2: all about the EV business. We can get into other 80 00:04:17,200 --> 00:04:19,800 Speaker 2: stuff later. How do you think they did in the quarter. 81 00:04:20,760 --> 00:04:23,720 Speaker 4: Uh, you know, earning, Like you said, earnings beat actually 82 00:04:23,760 --> 00:04:27,839 Speaker 4: not a big surprise given that production was pretty high 83 00:04:28,480 --> 00:04:33,400 Speaker 4: UH in the quarter. And I think, you know, positive 84 00:04:33,400 --> 00:04:36,839 Speaker 4: free cash flow is great versus the negative free cash 85 00:04:36,880 --> 00:04:41,480 Speaker 4: flow consensus was expecting. That's probably a function of the 86 00:04:41,600 --> 00:04:45,240 Speaker 4: higher profit UH for the for the gross profit for 87 00:04:45,320 --> 00:04:48,760 Speaker 4: the quarter. I think I think investor will like this 88 00:04:49,160 --> 00:04:53,160 Speaker 4: if I look clean into their investor deck shareholder deck. 89 00:04:53,760 --> 00:04:57,680 Speaker 4: They are ramping up the cyber rollo taxi business. They 90 00:04:57,720 --> 00:05:02,240 Speaker 4: have you know, unsupervised ramp up over in three different 91 00:05:02,279 --> 00:05:06,960 Speaker 4: cities UH and in San Francisco area they're actually have 92 00:05:07,040 --> 00:05:10,320 Speaker 4: it running with the safety driver. So I think that's 93 00:05:10,320 --> 00:05:13,479 Speaker 4: a good sign. I think that we're investors, investors pretty 94 00:05:13,480 --> 00:05:18,320 Speaker 4: antsy about that. You know, we're we're including myself, you know, 95 00:05:18,480 --> 00:05:21,840 Speaker 4: like we're waiting and thinking, like, you know, are they 96 00:05:21,880 --> 00:05:24,359 Speaker 4: are they? How are they doing on this? So you know, 97 00:05:24,400 --> 00:05:26,560 Speaker 4: I think I think they're ramping up a corneal plant. 98 00:05:27,120 --> 00:05:30,240 Speaker 4: What's also interesting, and we actually wrote about this, is 99 00:05:30,279 --> 00:05:33,960 Speaker 4: that the rest of the world markets for their auto 100 00:05:34,000 --> 00:05:38,120 Speaker 4: sales is improving. Rest of the world basically excludes their 101 00:05:38,160 --> 00:05:43,760 Speaker 4: three pillar markets, which is you know, US, Europe, and China. 102 00:05:44,400 --> 00:05:47,320 Speaker 4: So you know, we we saw, you know, they're actually 103 00:05:48,520 --> 00:05:54,080 Speaker 4: doubling their footprint in Japan, South Korea sales. They're starting 104 00:05:54,279 --> 00:05:59,680 Speaker 4: to get into the India market. Huge market potential. So 105 00:05:59,760 --> 00:06:03,359 Speaker 4: let's let's let's hear what they have to say about 106 00:06:03,440 --> 00:06:06,360 Speaker 4: the role buy. You know, I'm not as optimistic on 107 00:06:06,440 --> 00:06:07,120 Speaker 4: the robot. 108 00:06:07,000 --> 00:06:08,720 Speaker 1: Well Ed Ludlow is here with us. He's going to 109 00:06:08,760 --> 00:06:10,680 Speaker 1: help us make sense of all of these headlines. He 110 00:06:10,800 --> 00:06:13,520 Speaker 1: is the co host of Bloomberg Tech on Bloomberg TV, 111 00:06:13,680 --> 00:06:16,280 Speaker 1: follows this company and all EV companies closely. But it 112 00:06:16,440 --> 00:06:17,920 Speaker 1: is it even an EV company anymore? 113 00:06:18,440 --> 00:06:22,680 Speaker 3: This is the no Surprises, no drama shareholder deck. So interesting. 114 00:06:23,920 --> 00:06:27,000 Speaker 3: The return of the word demand about the core EV 115 00:06:27,120 --> 00:06:30,400 Speaker 3: business is almost a surprise. We spent all week saying 116 00:06:30,800 --> 00:06:34,040 Speaker 3: we look past the EV business. This is about being 117 00:06:34,080 --> 00:06:37,400 Speaker 3: an aftermist, yes, being an AI and robotics company. And 118 00:06:37,440 --> 00:06:40,160 Speaker 3: we talk about how Tesla trades at one hundred and 119 00:06:40,200 --> 00:06:42,680 Speaker 3: eighty three times forward earnings. The rest of the mag 120 00:06:42,760 --> 00:06:45,440 Speaker 3: seven those are the biggest technology companies by market cap 121 00:06:45,680 --> 00:06:48,800 Speaker 3: trade roughly thirty times forward earnings. In other words, this 122 00:06:48,880 --> 00:06:51,520 Speaker 3: is what we're saying. Investors value this as an AI 123 00:06:51,560 --> 00:06:54,080 Speaker 3: and robotics company, and yet the stock is up more 124 00:06:54,120 --> 00:06:56,520 Speaker 3: than four and a half percent in after hours. And 125 00:06:56,560 --> 00:06:59,080 Speaker 3: what they're talking about is the return of demand in 126 00:06:59,120 --> 00:07:02,960 Speaker 3: markets like APA and Latin or South America and demand 127 00:07:02,960 --> 00:07:05,919 Speaker 3: in other core markets like EMEA for their electric vehicle. 128 00:07:06,040 --> 00:07:09,240 Speaker 1: Is that surprising to you, given that China has been 129 00:07:09,240 --> 00:07:12,600 Speaker 1: able to create and build and develop evs that can 130 00:07:12,640 --> 00:07:14,840 Speaker 1: be bought in some of these markets at a fraction 131 00:07:14,920 --> 00:07:16,880 Speaker 1: of the price in Tesla's can be. 132 00:07:17,320 --> 00:07:22,040 Speaker 3: In the absence of any specific commentary about China, I mean, 133 00:07:22,080 --> 00:07:24,600 Speaker 3: what Tesla says, and I'm just going to read it, 134 00:07:24,640 --> 00:07:27,040 Speaker 3: is including the role out of the model y L 135 00:07:27,400 --> 00:07:32,480 Speaker 3: why long range or long length in markets outside of China, 136 00:07:32,800 --> 00:07:35,760 Speaker 3: and more affordable trims of both models. So that that's 137 00:07:35,800 --> 00:07:39,480 Speaker 3: the only real sort of specific way they've addressed China. 138 00:07:39,480 --> 00:07:41,720 Speaker 3: They're not saying they saw weakness, They're just saying they 139 00:07:41,720 --> 00:07:44,760 Speaker 3: saw strength outside of China. So I find that very interesting. 140 00:07:44,800 --> 00:07:48,120 Speaker 2: Shame on us for not like realizing this is still 141 00:07:48,120 --> 00:07:49,800 Speaker 2: a real business, this EV business. 142 00:07:49,920 --> 00:07:52,000 Speaker 1: They've been trying to communicate to us that that's not 143 00:07:52,040 --> 00:07:52,520 Speaker 1: the first. 144 00:07:52,520 --> 00:07:53,200 Speaker 2: Shame on them. 145 00:07:53,360 --> 00:07:54,880 Speaker 3: Well, I mean, there's so many ways we can go 146 00:07:54,920 --> 00:07:58,960 Speaker 3: about this. In the shareholder deck they talk about in 147 00:07:59,160 --> 00:08:02,080 Speaker 3: passing reference it's building the biggest ever chip fab. They 148 00:08:02,080 --> 00:08:04,520 Speaker 3: don't use the word terror fab, which I find interesting. 149 00:08:05,000 --> 00:08:08,320 Speaker 3: The absolutely critical cool thing for the audience to remember 150 00:08:09,080 --> 00:08:12,400 Speaker 3: is that any activity relating to Tesla building its own 151 00:08:12,480 --> 00:08:16,280 Speaker 3: chip factory is not factored into its full financial year 152 00:08:16,320 --> 00:08:19,840 Speaker 3: capital expenditures guide, which is twenty billion dollars. They haven't 153 00:08:19,920 --> 00:08:22,360 Speaker 3: changed that in this deck, and unless I missed it, 154 00:08:22,400 --> 00:08:25,200 Speaker 3: and I can check right now, but to build a 155 00:08:25,280 --> 00:08:27,200 Speaker 3: chip fab that they're talking about would take in the 156 00:08:27,240 --> 00:08:30,640 Speaker 3: trillions of dollars, and so one overhang that investors have 157 00:08:30,680 --> 00:08:32,600 Speaker 3: been worried about. Clearly they're not. The stocks up four 158 00:08:32,600 --> 00:08:35,480 Speaker 3: and a half percent, have been how much money is 159 00:08:35,480 --> 00:08:37,760 Speaker 3: Tesla going to spend to get all of this done? 160 00:08:37,840 --> 00:08:39,200 Speaker 3: Like at some point they're going to have to put 161 00:08:39,240 --> 00:08:41,320 Speaker 3: the money where the mouth is to get these projects underway. 162 00:08:42,000 --> 00:08:44,320 Speaker 2: Oh go ahead, Yeah, let's bring back Steve Man, Global 163 00:08:44,320 --> 00:08:47,160 Speaker 2: autos and Industrial's Research manager at Bloomberg Intelligence out there 164 00:08:47,200 --> 00:08:49,280 Speaker 2: in OURBA headquarters in Prince, New Jersey. You've been listening 165 00:08:49,320 --> 00:08:52,600 Speaker 2: to us talk with Ed and this kind of idea 166 00:08:52,640 --> 00:08:55,440 Speaker 2: that you know ev is actually still a big deal 167 00:08:55,559 --> 00:08:58,720 Speaker 2: at Tesla or and they're developing and growing in markets 168 00:08:59,080 --> 00:09:01,000 Speaker 2: outside the United States. 169 00:09:01,800 --> 00:09:04,880 Speaker 4: Yeah, I think I think you should think of cars 170 00:09:05,280 --> 00:09:11,240 Speaker 4: from a tesla's perspective as a robot on wheels, right, Uh, 171 00:09:11,720 --> 00:09:17,080 Speaker 4: you know, for them to proliferate AI in cars and 172 00:09:17,120 --> 00:09:20,280 Speaker 4: then later on with the humanoid robot, you know, they 173 00:09:20,280 --> 00:09:22,800 Speaker 4: do need to sell more cars, right, they need to 174 00:09:22,800 --> 00:09:26,040 Speaker 4: get these this FSD approved, and they had some good 175 00:09:26,040 --> 00:09:28,959 Speaker 4: news recently at the end of last year. South Korea 176 00:09:28,960 --> 00:09:33,520 Speaker 4: approved FSD and more importantly a few weeks ago, Netherland 177 00:09:33,559 --> 00:09:37,320 Speaker 4: approve FSD, and and that's critical because you know that 178 00:09:37,320 --> 00:09:40,319 Speaker 4: that can actually help them proliferate beyond Netherlands into the 179 00:09:40,400 --> 00:09:45,600 Speaker 4: rest of Europe. So it's a big deal for them. 180 00:09:45,800 --> 00:09:49,120 Speaker 4: Like you know, Ed was talking about the model. Why 181 00:09:49,160 --> 00:09:53,079 Speaker 4: the length and longer model. Why you know, it's important 182 00:09:53,120 --> 00:09:55,760 Speaker 4: to have that vehicle, especially in Asia because a lot 183 00:09:55,760 --> 00:09:59,200 Speaker 4: of the household over there are multi generational households, so 184 00:09:59,240 --> 00:10:01,760 Speaker 4: they do need a little bit more room, a little 185 00:10:01,800 --> 00:10:05,240 Speaker 4: bit more seating room for for the for the buyers 186 00:10:05,240 --> 00:10:08,040 Speaker 4: over there. So that's why you were seeing that. You know, 187 00:10:08,600 --> 00:10:12,440 Speaker 4: that car actually resonates. It has been resonating with the 188 00:10:12,520 --> 00:10:16,880 Speaker 4: Japanese and as well as South Korean consumers there and. 189 00:10:17,120 --> 00:10:19,880 Speaker 1: Is is this a real business for the company going forward? 190 00:10:19,880 --> 00:10:21,840 Speaker 1: Our investors betting the Optimist business. 191 00:10:22,080 --> 00:10:25,520 Speaker 3: There's a distinction between going forward and near term, median term, 192 00:10:25,559 --> 00:10:25,959 Speaker 3: long term. 193 00:10:25,960 --> 00:10:27,320 Speaker 1: I mean, well, that's the Tesla story. 194 00:10:27,920 --> 00:10:32,720 Speaker 3: The language is so specific. Preparations for our first large 195 00:10:32,760 --> 00:10:36,640 Speaker 3: scale Otomous factory will begin short put in the ground, yeah, exactly. Well, 196 00:10:36,679 --> 00:10:38,200 Speaker 3: we just don't know, and I'm sure that they'll get 197 00:10:38,280 --> 00:10:42,560 Speaker 3: questions on it in the in the cool You know, 198 00:10:42,600 --> 00:10:46,920 Speaker 3: Steve's absolutely right that they did discontinue production in the 199 00:10:46,960 --> 00:10:50,040 Speaker 3: Modeless and X, but they also for a very long 200 00:10:50,080 --> 00:10:53,120 Speaker 3: time Musk himself said they only made that vehicle for 201 00:10:53,200 --> 00:10:56,680 Speaker 3: sentimental reasons, right, it was so low volume. I find 202 00:10:56,720 --> 00:11:01,840 Speaker 3: it really interesting that the second part of that paragraph, 203 00:11:01,960 --> 00:11:05,920 Speaker 3: the first generation line for Optimus, designed for one million 204 00:11:06,000 --> 00:11:08,800 Speaker 3: robots a year, will replace the Modeless and Modern X 205 00:11:08,920 --> 00:11:13,080 Speaker 3: lines in Fremont. Fremont, California. We are also preparing Gigafactory, 206 00:11:13,440 --> 00:11:16,880 Speaker 3: Texas for the second generation line, which is being designed 207 00:11:16,920 --> 00:11:19,800 Speaker 3: for long term annual production of ten million. I think 208 00:11:19,840 --> 00:11:22,360 Speaker 3: that's a really significant piece of news for the Bay 209 00:11:22,400 --> 00:11:26,360 Speaker 3: Area and the state of California. That actually just in 210 00:11:26,440 --> 00:11:30,520 Speaker 3: writing confirmation that Optimist as a program starts at that 211 00:11:30,559 --> 00:11:33,640 Speaker 3: Fremont facility. You know, that's a big it's a big deal. 212 00:11:33,720 --> 00:11:36,080 Speaker 1: I mean, given what Elin has said about California, the 213 00:11:36,160 --> 00:11:38,000 Speaker 1: moving out of California. 214 00:11:37,679 --> 00:11:39,959 Speaker 2: Was Gavin Newsom, Yeah, Gavin. 215 00:11:39,720 --> 00:11:42,160 Speaker 1: Newson said that Elon called him, and this was in 216 00:11:42,160 --> 00:11:46,160 Speaker 1: Matt Winkler's opinion piece recently, that Elon called him and said, 217 00:11:46,320 --> 00:11:48,760 Speaker 1: we can't find the talent that we're looking for outside 218 00:11:48,800 --> 00:11:49,360 Speaker 1: of California. 219 00:11:49,600 --> 00:11:52,760 Speaker 3: And also, like, I'm not saying this is barnstorming breaking news. 220 00:11:52,800 --> 00:11:54,960 Speaker 3: I'm just making an observation that they've set the plan 221 00:11:55,040 --> 00:11:58,480 Speaker 3: out in writing for something that's hard for many people 222 00:11:58,520 --> 00:12:01,760 Speaker 3: to believe. Steve makes a very critical point again, Tesla 223 00:12:01,800 --> 00:12:04,560 Speaker 3: talks about this. The first use case of Optimus is 224 00:12:04,600 --> 00:12:08,560 Speaker 3: within Tesla's own facilities in the manufacturing context, and he's 225 00:12:08,559 --> 00:12:11,280 Speaker 3: talked about selling it to the general population as a 226 00:12:11,280 --> 00:12:14,280 Speaker 3: babysitter or is a care for the elderly, or as 227 00:12:14,320 --> 00:12:17,640 Speaker 3: part of the labor to address the deficit in labor 228 00:12:17,679 --> 00:12:21,480 Speaker 3: in various sectors. But I'm just saying, like they outlined 229 00:12:21,480 --> 00:12:23,199 Speaker 3: a plant and if you think about the history of 230 00:12:23,240 --> 00:12:26,240 Speaker 3: this company, the big tent at Fremont that they put together, Yeah, 231 00:12:26,240 --> 00:12:29,240 Speaker 3: you know, the Frankenstein's monster of a factory that it 232 00:12:29,320 --> 00:12:31,240 Speaker 3: once was. It's interesting how they do things. 233 00:12:31,360 --> 00:12:33,480 Speaker 1: I also want to bring in Ross Gerber. He's president 234 00:12:33,480 --> 00:12:36,439 Speaker 1: and CEO of Gerber Kawasaki Wealth and Investment. 235 00:12:36,440 --> 00:12:38,640 Speaker 2: We'll get a round table. Can you guys talk to 236 00:12:38,679 --> 00:12:39,880 Speaker 2: each other and we're going to talk to you. 237 00:12:39,960 --> 00:12:43,559 Speaker 1: The firm has about four billion dollars in assets under management, 238 00:12:43,800 --> 00:12:46,360 Speaker 1: So talk to us a little bit about your first 239 00:12:46,520 --> 00:12:49,280 Speaker 1: impressions when it comes to these results. This idea of 240 00:12:49,960 --> 00:12:52,480 Speaker 1: seeing demand in certain parts of the world for the 241 00:12:52,520 --> 00:12:54,559 Speaker 1: auto's business, what's your take. 242 00:12:55,320 --> 00:12:58,280 Speaker 5: Grill couldn't be happier to see demand for the auto's business. 243 00:12:58,360 --> 00:13:01,760 Speaker 5: That's the business. I'm in EV business. I care about climate. 244 00:13:02,480 --> 00:13:04,480 Speaker 5: I want to see them sell as many EV's as 245 00:13:04,480 --> 00:13:06,440 Speaker 5: possible in the world. And they still make the best 246 00:13:06,480 --> 00:13:09,520 Speaker 5: evs And so I was like, the fact we're talking 247 00:13:09,559 --> 00:13:13,120 Speaker 5: about cars, I'm so happy because like that's how they 248 00:13:13,200 --> 00:13:17,000 Speaker 5: actually make money and that actually matters. Nobody needs another 249 00:13:17,080 --> 00:13:19,839 Speaker 5: cab service. Okay, there's plenty of cab services. If you're 250 00:13:19,840 --> 00:13:22,120 Speaker 5: in Santa Monica, you can take a ROBOTAXI. Right now, 251 00:13:22,360 --> 00:13:25,240 Speaker 5: we got Amazon up next. I haven't seen a Tesla. Yet, 252 00:13:25,360 --> 00:13:27,400 Speaker 5: I'd love Tesla to come here where it's really hard 253 00:13:27,440 --> 00:13:30,640 Speaker 5: to drive and test it out. But that said, you know, 254 00:13:31,040 --> 00:13:33,880 Speaker 5: I'm excited about I'm an EV guy, I'm a climate guy. 255 00:13:33,920 --> 00:13:36,880 Speaker 5: It's Earth Day. I hope they sell as many EV's 256 00:13:36,880 --> 00:13:37,480 Speaker 5: as possible. 257 00:13:37,679 --> 00:13:39,760 Speaker 3: Guys, I'm just gonna jump in here, Ross, thank you 258 00:13:39,760 --> 00:13:41,320 Speaker 3: for joining the show. It's not my show. I'm going 259 00:13:41,360 --> 00:13:44,439 Speaker 3: to ask you to please hold and stand by, and 260 00:13:44,800 --> 00:13:47,040 Speaker 3: you guys, forgive me for that one. Something just dawned 261 00:13:47,080 --> 00:13:51,280 Speaker 3: on me. So last quarter they didn't either. But typically 262 00:13:51,600 --> 00:13:54,520 Speaker 3: in the third page of the deck they'll give you 263 00:13:54,760 --> 00:13:57,760 Speaker 3: a financial summary where they put the headwinds and tailwinds 264 00:13:57,760 --> 00:14:00,840 Speaker 3: to the top and bottom line. And I didn't even 265 00:14:00,920 --> 00:14:02,880 Speaker 3: realize last course. So they didn't do it in Q 266 00:14:02,920 --> 00:14:05,959 Speaker 3: four and they've not done it this time. So, for example, 267 00:14:06,000 --> 00:14:10,400 Speaker 3: we don't know what the impact of volume changes is 268 00:14:10,640 --> 00:14:15,400 Speaker 3: or FX as an example, or any other specifics, what 269 00:14:15,440 --> 00:14:19,440 Speaker 3: the impact of operating expenses is on profitability. They haven't 270 00:14:19,480 --> 00:14:22,320 Speaker 3: spelled it out, and I'm just making that observation. 271 00:14:22,680 --> 00:14:25,280 Speaker 5: Well, all right, so let me I agree with that observation. 272 00:14:25,440 --> 00:14:26,760 Speaker 2: So what do you make of that? 273 00:14:27,360 --> 00:14:30,880 Speaker 5: Ross, Well, you've got to wait for the SEC documents 274 00:14:30,880 --> 00:14:34,120 Speaker 5: to drop, you know, but I kind of was surprised 275 00:14:34,160 --> 00:14:36,480 Speaker 5: by the number, so I was trying to parse through 276 00:14:36,480 --> 00:14:39,040 Speaker 5: why it was better than expected, because with all the 277 00:14:39,080 --> 00:14:42,680 Speaker 5: extra access excess inventory that they added should have hit 278 00:14:42,760 --> 00:14:45,680 Speaker 5: cash flow harder. So I'm just you know, I want 279 00:14:45,680 --> 00:14:49,320 Speaker 5: to see their numbers didn't add up with my numbers, 280 00:14:49,440 --> 00:14:52,600 Speaker 5: basically because of the access inventory, which they now have 281 00:14:52,640 --> 00:14:55,280 Speaker 5: twenty seven days of inventory, which is actually a high 282 00:14:55,680 --> 00:14:58,400 Speaker 5: for them, but yet that didn't hit cash flow at all, 283 00:14:58,480 --> 00:15:00,800 Speaker 5: so or maybe it did. Bec there was one point 284 00:15:00,880 --> 00:15:02,800 Speaker 5: four billion they say a free cash flow, but the 285 00:15:02,840 --> 00:15:06,520 Speaker 5: actual cash that hit the books was seven hundred million. 286 00:15:07,000 --> 00:15:09,040 Speaker 5: But I just want to see how these numbers are 287 00:15:09,120 --> 00:15:10,000 Speaker 5: pars doaling