Yeah, and a number of other executives. Our Q2 results were announced at about 3 p.m. Central time in the update deck. We published the same link as this webcast. During this call, we will discuss our business outlook and make forward looking statements. These comments are based on our predictions and expectations as of today. Actual events or results could differ materially due to a number of risks and uncertainties, including those mentioned in our most recent filings with the SEC. During the question and answer portion of today's call, please limit yourself to one question and one follow up. Please use the raise hand button to join the question queue. Before we jump into Q&A, Elon has some opening remarks. Elon? Thank you.
So to recap, we saw a large adoption exploration of EVs and then a bit of a hangover as other struggles like compelling EVs. So there were quite a few competing electric vehicles that have entered the market. And mostly they have not done well, but they have discounted their EVs very substantially, which has made it a bit more difficult for Tesla. We don't see this as long-term issue, but really as fairly short-term. And we still firmly believe that EVs are best for customers and that the world is headed for fully electrified transport, not just the cars, but also aircraft and boats. Despite many challenges, the Tesla team did a great job executing and we did achieve record quarterly revenues.
Energy storage deployments reached an all-term high in Q2, leading to record profits for the energy business. And we're investing in many future projects, including AI training and inference and a great deal of infrastructure to support future products. We won't get too much into the product roadmap here because that is reserved for product announcement events. But we are in fact to deliver a more affordable model in the first half of the next year. By far, the biggest differentiator for Tesla is autonomy.
In addition to that, we have scale economies and we're the most efficient electric vehicle producer in the world. So, while others are pursuing different parts of the AI robotic stack, we are pursuing all of them. This allows for better cost control and more scale, quicker time to market and superior product, applying not just to autonomous vehicles, but to autonomous humanoid robots like Optimus. Regarding full self driving and robot taxi, we've made a lot of progress with all self driving in Q2 and with version 12.5, beginning rollout, we think customers will experience a step change improvement in how well supervised full self driving works.
Version 12.5 has five times the parameters of 12.4 and will mode and finally merge the highway and city stacks. So, the highway stack is slowly at this point, it's pretty old. So often the issues people encounter are on the highway, but with 12.5, we finally merge the two stacks. Well, I still find that most people actually don't know how good this system is and I would encourage anyone to understand system better to simply try it out and let the car drive you around.
One of the things we're gonna be doing just to make sure people actually understand the capabilities of the car is when delivering a new car and when picking up a car for service to just show people how to use it and just drive them around the block once people use it at all that they tend to continue using it. So it's very compelling. And then this I think will be a massive demand driver, even unsupervised full self driving will be a massive demand driver. And as we increase the miles between intervention, it will transition from supervised full self driving to unsupervised full self driving and we can unlock massive potential in the fleet. We push forward the sort of robotaxial that sort of product unveil by a couple of months where it's shifted to 10 to 10 to the 10 to the October.
And this is because I wanted to make some important changes that I think would improve the sort of the robotaxial thing, the main thing that we're gonna show and we're also gonna show off a couple of other things. So moving it back a few months allowed us to improve the robotaxial as well as add in a couple other things for the product unveil. We're also nearing completion of the self expansion of the gigatexis which will has a largest clip training cluster to date. So the incremental 50,000 H100s plus 20,000 of our hardware floral AI, Tesla AI computer. With Optimus, Optimus is already performing tasks in our factory and we expect to have Optimus production version one in limited production starting early next year. This will be for Tesla consumption.
It's just better for us to iron out the issues ourselves. But we expect to have several thousand off-miss robots produced and doing useful things by the end of next year in the Tesla factories. And then in 2026 ramping up production quite a bit and at that point we'll be providing Optimus robots to outside customers. That'll be production version two of Optimus. For the energy business, this is growing faster than anything else. This is where we're really demand constraint rather than production constraint. So we're wrapping up production in our US factory as well as building our, building the back factory in China that should roughly double our output. It may be more than double, it may be tripled potentially.
So in conclusion, we're super excited about the progress across the board. We're changing the energy system, happy moving around, happy with the approach to the economy. The undertaking is massive, but I think the future is incredibly bright. Yeah, I really just can't emphasize just the importance of autonomy for the vehicle side and for Optimus. Although the numbers sound crazy, I think, Tesla producing at volume with unsupervised MSD, essentially enabling the fleet to operate a giant autonomous fleet. And to taste the valuation, I think to some pretty crazy number, Ark Invest thinks on the order of $5 trillion, I think they're probably not wrong. And long term Optimus, I think is, achieved evaluation several times that number. I want to thank the Tesla team for a strong execution and looking forward to exciting years. Great, thank you very much, Elon, and Vibob has opening remarks as well. Thanks.
As Elon mentioned, the Tesla team rose to the occasion yet again and delivered on all fronts with some notable records. In addition to those records, we saw our automotive deliveries go sequentially. I would like to thank the entire Tesla team for their efforts in delivering a great quarter. On the auto business run, affordability remains a top of mind for customers. And in response in Q2, we offer detecting financing options to offset sustained high interest rates. These programs had an impact on revenue per unit in the quarter. These impacts will persist into Q3 as we have already launched similar programs. We're now offering extremely competitive financing rates in most parts of the world. This is the best time to buy a Tesla. I mean, if you're waiting on the sidelines, come out and get your car.
We had a record quarter on regulatory credits and as well. On net, our automotages remain flat sequentially. It is important to note that the demand for regulatory credits is dependent on other OEMs plans for the kind of workers they're manufacturing and selling as well as changes in regulations. We pride ourselves to be the company with the most American made cars and are continuing our journey to further localize our supply chain, not just in the US, but in Europe and China as well for the respective factories. As always, our focus is on providing the most compelling products at a reasonable price. We have stepped up our efforts to provide more trims that have estimated range of more than 300 miles on a single chart. We believe this along with the expansion of our supercharging network is the right strategy to combat range anxiety.
Since the revision of FSD pricing in North America, we've seen reaction rates increase meaningfully and expect this to be a driver of vehicle sales as the features that improves further. Cost per vehicle declines sequentially when we remove the impact of Cybertruck. While we are experiencing material cost trending down, we know that there is latency on the car side and such reductions would show up in the P&L when the vehicles built with these materials get delivered. Additionally, as we get into the second half of the year, it is important to note that we are still ramping Cybertruck and Model 3 and are also getting impacted by varying amounts of tariffs on both wrong drills and finish cuts. While our teams are working feverishly to offset these, unfortunately, it may have an impact on the cost of the vehicle sales and the data.
We previously talked about the potential of the energy business and now feel excited that the foundation that was laid over time is being the expected results. Energy storage deployments more than doubled with contribution not just from Megapag, but also Powerwall. Resulting in record revenues and profit for the energy business. Energy storage backlog is strong. As discussed before, deployments will fluctuate and compare to period with some quarters, seeing large increases and others seeing it decline. Recognition of storage given what ours is dependent on a variety of factors, including logistics timing, as we send units from a single factory to markets across the world, customer readiness and in case of EPC projects or construction activities.
Moving on to the other parts of the business service and other gross profits also improved sequentially from the improvement in service utilization and growth in our collision repair business. The impact of our recent reorg is reflected in restructuring other important things to share with. Just to never said, this was about $642 million of charge which got recorded in the period. And I want people to remember that we've called it out separately on the financials. Sequentially our operating expenses, excluding surcharges, despite an increase in spend for AI related activities and highly legal and other costs.
On the CAPEX run, while we saw a sequential decline in Q2, we still expect the year to be over 10 billion in CAPEX as we increase our spend to bring a 50K GP cluster online. This new register will immensely increase our capabilities to scale FSD and other AI initiatives. We reverted to positive free cash flow of 1.3 billion in K2. This was despite restructuring payments being made in the quarter and we ended the quarter with over 30 billion of cash and investments. Once again, we've begun the journey towards the next phase for the company with the building blocks being placed. It will take some time but it will be a rewarding experience for everyone involved. Once again, I would like to thank the entire society for the efforts. Great.
Thank you very much, Pevov. Now let's go to investor questions. The first question is, what is the status on the Roadster? With respect to the Roadster, we've completed most of the engineering and I think there's some upgrades we wanna make to it, but we expect to be in production with Roadster next year. Great. It'll be something special. Like a whole thing where I think. Fantastic. The next question is about timing of Robotaxi event, which we've already covered. So we'll go to the next question. When do you expect the first Robotaxi ride? I guess that's really just a question when do I expect the first, or when can we do unsupervised for self-driving? It's difficult, obviously. My predictions on this have been overly optimistic in the past. So, I mean, based on the current trend, it seems as though we should get miles between interventions to be high enough that it's too far and nothing excessive humans that you could do unsupervised possibly by the end of this year. I would be shocked if we cannot do it next year. So, the extra seems highly probable to me based on, once we've plus the points of the curve of miles per intervention, that trend exceeds here in the future next year. Thank you very much.
Our third question is, the Cybertruck is an iconic product that wows everyone who sees it. Do you have plans to expand the cyber vehicle lineup to a cyber SUV or cyber van? I think we want to limit product announcements to when we have a special, it's a big product announcement event rather than running schools. Great, thank you. Our next question is, what is the current status of 4680 battery cell production and how is the ramp up progressing? Yeah. 4680 production ran strongly in Q2, delivering 51% more cells than Q1, while reducing COG significantly. We currently produce more than 1,400 type of trucks of 4680 cells per weekend. We'll continue to ramp output as we drive costs up further towards the cost parity target we set for the end of the year. We've built our first validation Cybertruck with dry cathode process made on our mass production equipment, which is a huge technical milestone. And I'm super proud of that. We're on track for production launch with dry cathode into four. And this will enable cell costs to be significantly below available alternatives towards the original goal of the 4680 program. Great. And very much.
The next question is, any update on Dojo? Yeah, so Dojo. I actually preface this by saying, I'm incredibly impressed by the video's execution and the capability of their hardware. And what we are saying is that a amount of hardware and hardware is so high that it's often difficult to get the GPUs. And there just seems this, I guess I'm quite concerned about actually being able to get Staley on their GPUs when we want them. And I think this, therefore requires that we put a lot more of it on Dojo in order to have, in order to ensure that we've got the training capability that we need. So we are going to double down on Dojo and we do see a path to being competitive with Nvidia with Dojo. And I think we kind of have no choice because the demand for Nvidia is so high and it's obviously their obligation essentially to raise the price of GPUs to whatever the mock will bear, which is very high. So I think we've really got to make Dojo work and we will. Great.
The next question is, what type of accessories will be offered with optimists? There's, optimists is intended to be a generalized humanoid robot with a lot of intelligence. So it's like saying, what kind of accessories, what we offer really human. It's just really intended to be able to be backwards compatible with human tasks. So it would use any accessory set of human would use. Yeah. Thank you.
The next question is, do you feel you're cheating people out of the joys of owning a Tesla by not advertising? We're going to be some advertising. So, yeah, I'll say something. You know, a fundamental belief is that we need to be providing the best part except to lose the price of the consumers. Just to give you a fact, in the US alone in Q2, over two thirds of our sales were to deliver these were to people who had never owned a Tesla before. And which is encouraging. We've spent money on advertising and other awareness programs and be able to just a data strategy for not saying no to advertising. But this is a dynamic play and we know that we have not exhausted all our options and therefore plan to keep adjusting in the later half of this year as well. Great. Thank you very much.
The next question is on energy growth, which we already covered in opening remarks. So we'll move on to the next one. What is the updated timeline for Gigamexico and what will be the primary vehicles produced specially? Well, we currently oppose on Gigamexico. I think we need to see just where things stand after the election. Trump has said that you're heavy tariffs on vehicles produced in Mexico. It doesn't make sense to invest a lot in Mexico if that is going to be the case. So we kind of need to see what things play out politically. However, we are increasing capacity at our existing factories quite significantly. And I should say that the cyber taxi, or robot taxi will be produced here at headquarters at Gigamexico, Texas. All right, thank you.
As well, go ahead and address as well optimists towards the end next year for Optimus production version two, the high volume version of Optimus will also be produced here in Texas. Great. Thank you. Just a couple more. Is Tesla still in talks with an OEM to license FSD? There are a few major OEMs that have expressed interest in licensing Tesla, or Tesla plus up driving. And I suspect there will be more over time, but we can't comment on the details of those discussions.
Alright, thank you. And the last one, any updates on investing in XAI and integrating GRC into Tesla software?
好的,谢谢。最后一个问题,有关于投资XAI和将GRC整合到特斯拉软件中的更新吗?
I should say that Tesla is learning quite a bit from XAI. It's been actually helpful in advancing both up driving and in building up the new Tesla data center. With regarding investing XAI, I think we'd need to have a shareholder approval of any such investment. But I'm so I'm certainly supportive of that if shareholders are the group, but I think we need to vote on that.
And I think that there are opportunities to integrate GRC in Tesla software. Yes.
我认为有机会将合规、风险和管理(GRC)整合到特斯拉的软件中。是的。
All right, thank you very much. And now we will move on to analyst questions. The first question comes from Will Stein from truest. Will please go ahead and unmute yourself. Great, thanks so much for taking my question. And this relates a little bit to the last one that was asked. Elon, I share your strong enthusiasm about AI and I recognize Tesla's opportunity to do some great things with the technology, but there are some concerns I have about Tesla's commercialization.
And that's what I'd like to ask about. Specifically, there were some new stories through the quarter that indicated that you redirected some AI compute systems that were destined for Tesla instead to XAI or perhaps it was to X, I'm not sure. And similarly, a few quarters ago, if you recall, I asked about your ability to hire engineers in this area. And you noted that there was a great desire for some of these engineers to work on projects that you were involved with, but some of them weren't at Tesla. They were instead at XAI or perhaps even access again.
So the question is when it comes to your capital investments, your AI R&D, your AI engineers, how do you make allocation decisions among these various ventures? And how do you make Tesla owners comfortable that you're doing it in a way that really benefits them? Thank you.
Yeah, I mean, I think you're referring to a very, like an old article regarding GPUs, like that's like six or seven months old. Tesla said we had no place to turn them on. So it would have been a waste of Tesla capital because we would just have to order H100s and have no place to turn them on.
So it was just, there wasn't a specific XAI over Tesla. There was no, the Tesla data centers were full. There was no place to actually put them. We've been working 24 seven to complete the South extension on the Tesla Big Pack Concurrent, Texas. That South extension is what will house the 50,000 H100s. And we're beginning to move the H100s over X, into place there, but we needed that to complete physically.
You can't just order computers, order GPUs and turn them on, you need a data center, so it's not possible. So I want to be clear that was in Tesla's interest, it's not contrary to Tesla's interest. This Tesla no good to have GPUs that I can't turn them off. This but second, that South extension is able to take GPUs, which is really just this week where I'm moving GPUs in there and we'll bring them online.
With regard to XAI, the only one who worked on AGI. So what I was finding was that, we're trying to improve people to Tesla. They were only interested in working on AGI, not to have some problems. And they want to start, they do a startup. So it was case of either they go to a startup or an I'm involved or a new startup and I'm not involved. Those are two choices.
This wasn't, they would come to Tesla, they were not going to come to Tesla either, any circumstances. So yeah. Yeah, I mean, I would even add that, you know, AI is a broad spectrum and there are a lot of things which, we are focused on full-time driving as Tesla and also Optimus. But there's the other spectrum of AI which we're not working on and that's the kind of work which other companies are trying to do in this case, XAI.
So you have to keep that in mind that it's a broad spectrum. It's not just one specific thing. Yeah, I want to repeat myself here. I tried to recruit them to Tesla, including to say like you can work on AGI if you want and they'd refuse. Only then was XAI-grade. I really appreciate that clarification. If I can ask one follow-up, it relates to the new vehicles that you're planning to introduce next year. I understand this is not the venue for product announcements, but when we think about the focus, I've heard on the one hand that the focus is on cost reduction. On the other hand, you also said that the roadster would come out.
Should we expect other maybe more limited variants, like similar to the cars that you make today, but with, you know, some changes or improvements are different, some other variability in the form factors, it should we expect that to be a significant part of the strategy in the next year or two?
I don't want to get into details of product announcements. And we have to be careful of the Osborne effect here. So, you know, if you start announcing some great thing, it affects our new term sales. We're going to make great products the future, just like we have in the past. And the story, right? The next question comes from Ben Callow from Baird. Ben, please go ahead and unmute yourself. Hi, thanks for taking my question. When we think about revenue contribution and with energy growing so quickly and, you know, optimists on the come, how do we think about, you know, the overall segments, longer term? And then do you think the auto revenue will fall below 50% of your overall revenue?
And then my follow up is just on the last call you talked about distributing compute on your new hardware. Could you just update us and talk a little bit more about that, the timeline for it and, you know, how you would reward customers for letting you use their, their compute power, their cars? Thanks. Yeah, I mean, as I said a few times, I think the long term value of optimists will exceed that of everything else that tells the combined. So it's simply, if you just have to consider the usefulness, the utility of a humanoid robot that can do pretty much anything you ask of it. I think everyone knows this, you know, one one one, because eight billion people on earth, so it's eight billion right there. Then you've got all of the industrial uses, which is probably at least as much, if not way more.
So I suspect that the block term meant for general purpose human robots is an excess of 20 billion units. And Tesla has the most advanced human robot in the world. And it's also very good at manufacturing, which the selling of his or not. And we've got a lot of experience with the most experience with the world leaders in real world AI. So we have all of the ingredients. We even I think we're unique in how they all of the ingredients necessary for our stale high utility generalized human robot. But that's why I think, you know, my breakfast with long term is in accordance with the our confess analysis of, you know, a cap of on the order of five trillion for maybe more for autonomous transport.
And it's several times that number for general purpose human robot. I mean, at that point, I'm not sure what money even means. But so you know, in the end of the nine AI scenario, we're headed for an age of abundance, where there was no shortage of goods and services. Everyone can have pretty much anything to watch. It's a well, very well future radical. And on the distributed compute. Yeah, just really compute. It seems like a pretty obvious thing to do. I think the weather's distributed compute becomes interesting is with our next generation.
Tesla AI took, which is hard revival, what we call an AI five, which is. From a from the standpoint of an inference capability, comparable to B 200 and a bit of B 200. And we're able to have that in production at the end of extra and scale production in 26. So it is just saying, like, if you've got, if you've got. Autonomous vehicles that are operating for 50 or 60 hours a week, it's 168 hours a week. So you have somewhere above, I think, 100.
You're on that computing. I think we need a better way to keep you because you can describe this plus and you're so that there's a high, hours plus per week of AI compute, AI inference compute from the fleet and vehicles. And probably some percentage from the human right robots. That would make sense to do distributed inference. And if you're good, there's a fleet of, you know, some point a hundred million vehicles with AI five and beyond six and seven or nine. And there may be billions of human or robots. That is just a staggering amount of inference compute that could be used for general purpose.
A computing doesn't have to use for the human or robot or for the car. So I think that's a pretty obvious thing to say, like, well, it's more useful than having to do nothing. All right, thank you. The next question comes from Alex Potter from Piper. Alex, please go ahead and unmute yourself. Perfect. Thanks. I wanted to ask a question on FSD licensing. You mentioned that in passing previously. It was just wondering if you can elaborate, maybe on the mechanics of how that would work. I guess presumably this would not be some sort of simple plug and play proposition that presumably an OEM would need, I don't know, several years to develop its own vehicle platform that's based on FSD. I imagine they would need to adopt Tesla's electrical architecture, compute sensor stack. So correct me if I'm sort of misunderstanding this.
But if you had a cooperative agreement of some kind with another OEM, then presumably it would take you several years before you'd be able to recognize licensing revenue from that agreement. Does that the right way to think about that? Yes, the OEM is not really fast. It's not really a sense of suite. It's just cameras. But they would have to integrate our AI computer and have cameras with a 360 degree view. And at least the gateway, like the what talks to the internet and communicates with the Tesla system with that unique kind of a gateway computer too. So it's really a gateway computer with the cellular and white like a connectivity, the Tesla AI computer and seven cameras or not cameras again, a 360 degree view. But this will be given the speed of which the board of instruments, it would be several years before you receive this volume. OK, good. That's more or less what I expected. So then the follow up here is if you did sign an FSD licensing agreement with another automaker, when do you think you would disclose that? Would you do it right when you sign the agreement or only after that multiple years has passed and the vehicle is ready to be rolled out? I think it depends on the area. I think it's would be happy either way. Yeah, it depends on what kind of agreement we enter into. A lot of those things are we're not an result yet. So we'll make that determination as and when we get to that point. And the kind of feels that that are obviously relevant are only if, you know, some OEMs will do this in a million cars a year or something significant. It's not if it's like 10,000 or 100,000 cars a year. We could just make that ourselves.
All right, thank you. The next question comes from Dan Levi from Barclays. Dan, please go ahead and unmute yourself. A good evening. Thanks for taking the questions. First, I want to start with a question on Shanghai. You've leveraged Shanghai as as an export center. Really do its low cost and that makes sense. Maybe you can just give us a sense of how the strategy changes, if at all, given the implementation of tariffs in Europe. Also, to what extent your import of batteries from China into the US, how that might change given the tariffs. Thank you. Yeah, I think I covered some part of it in my opening remarks, but just to give you a little bit more, just on the tariff side, the European authorities did sample certain other OEMs in the first round to establish the tariffs for cars being imported from China into Europe. While we were not picked up in our individual examination in the first round, they did pick us up in the second round. They visited our factory. They worked with them, provided them all the information. As a result, we are adjusting our import strategy out of China into Europe. One other thing to note is in Q2 itself, we started building right-hand or model-wise out of Berlin, and we also delivered it in the UK. We're adjusting as needed, but we will keep adjusting. We're still importing model-free into Europe out of Shanghai. And we are still evaluating what is the best alternate map. There's all this. Just on the examination by the European authorities, like I said, we cooperated with them. Well, we are confident that we should get a better rate than what they have imposed for now, but this is literally evolving. And we are adjusting as fast as we can with this. I would also add that, because of this, you've seen the impact that Berlin is doing more imports into places like Taiwan, as well as in the UK, I just mentioned. So it will keep changing and we will keep adapting as we go out. Great. Thank you. Thanks.
Yeah, thank you. As a follow-up, I wanted to ask about the Rhebotack strategy. And specifically, the shareholder deck here notes that the release is going to be, one of the gating factors is regulatory approval. So maybe you can help us understand, you know, which regulations specifically are the ones that we should be looking for? Is it FMVSS that's standard? And then, you know, to what extent does the strategy shift you've done with FSD, more of a nationwide, no boundary approach? Is the Rhebotack the approach, one that's more geo-fence, so to speak, and is more driven by a state-by-state approach? I mean, our solution is a generalized solution, like whatever else has been, or if you see the G expandrath release is limited. Our, you know, our solution is a general solution that works anywhere. It would even work on a different earth. So if you're branded a new earth, it would work on a new earth.
So it's this capability, I think in our experience, once we demonstrate that something is safe enough or significantly safer than human, we find that regulators are supportive of deployment of that capability. It's difficult to argue with a large number of, you know, billions of miles that show that in the future, unsupervised FSD is safe and human, but what regulator could really stand the way of that? They were morally obligated to approve. So I don't think regulatory approval will be a limiting factor. I should also say that, you know, the self-driving capabilities that are deployed outside of North America are far behind that in North America. So with the, with version 12.5, and maybe 12.6, but pretty soon we will ask for regular regulatory approval of the Tesla supervised FSD in Europe, China and other countries. And I think we're likely to receive that before the end of the year. Thank you. Which will be helpful demand driver in those region talks. Thank you. Just a large.
In terms of like, you know, as Elon said, in terms of regulatory approval, you know, the vehicles are governed by FMSS in the US, which is the same across all 50 states. The world rules are the same across all 50 states. So creating generalized solution gives us the best opportunity to. Isn't deploying all 50 states recently. Of course, there are state and even local, you know, municipal level of regulation is that may apply to, you know, being a. Transportation company or deploying taxes, but you know, as far as getting the vehicle on the road, that's, that's all federal and that's very much in line with what. You know, you always just suggesting about the data and the vehicle itself.
And to add to the technology point, the Internet network basically makes no assumption about the location. Like you could add data from different countries and it just like perform equally build their. This like almost close to zero US specific code in there. It's all just the data that comes from the US. Yeah, to that end of the show gets like, you know, we can go as humans to other countries and drive with some reasonable amount of assessment in those countries. And that's how you design the FSC software. Yeah, exactly. Great, thanks guys.
The next question comes from George from cana court. George, please go ahead and unmute yourself. Hi everyone. Thank you for taking my questions. Maybe just to expand on the regulatory question for a second. And I could be comparing apples and oranges, but you know, GM canceled their. Pedalists wheel list vehicle. And according to the company this morning, their decision was driven by uncertainty about the regulatory environment. And from what we understand, and again, maybe I'm wrong here, but the robo taxi that. Has been shown at least in images of the public is also pedalists. And wheel lists. Is there a different regulatory concern just if you deploy a vehicle like that that doesn't have. Pedal pedals or a wheel and that may that be different from just regular FSD on a traditional Tesla vehicle. Thank you.
Well, obviously the real reason that the cancer is just can't make it work, not because regulators that blaming regulators. That's that's misleading and fun to do so. Because a way more is doing just fine in those markets. So it's just that their technology is not far. Right. And maybe just as a follow up. I think you mentioned that FSD take rates were up materially after you reduce the price. Is there any way you can help us quantify what that means exactly. Thank you. Yeah, right. You know, we've shared the that how that we've seen a meaningful increase. I don't want to get into specific because we started from a low base. But we are seeing encouraging results. And the key thing here is like Elon said, you need to experience it because what's kind of describe it. And then we actually use it. And that's why we are trying to make sure that every time a car is getting delivered, people are being short. How this thing is working because when you see it working, you realize how great it is. I mean, just to give you one example. So again, there's a buyer example, but I have more than 20 mile commute into the factory almost every day. And then you can see the car is getting more than 20 miles per inch on the latest. And the car just literally dies. And especially with the latest version. We're in, you know, we're also tracking your eye movement. The same leg is almost not there. As long as you're not going to take some glasses. Well, we're fixing the sunglasses. It's coming to you. You will be able to drive. It will. You'll be able to have sunglasses on and have the contract. But you know, there's the trend of our times I've talked with smart people who. Like live in New York or maybe downtown Boston and. Don't ever drive. And then are asking me about FSD and like, you can just get a car and try it. And if you're not doing that, you have no idea what's going on. Thank you.
The next question comes from Pierre from new street Pierre, please unmute yourself. Hey guys, thank you for taking my question. So it's on on robot XC again, and I completely get it that with a universal solution. We will get like regulatory approval. We get there eventually clicking, clicking at miles and compute, et cetera. And my question is more. How do you think about deployments? Because I'm still like, I'm thinking once you have a car that can drive everywhere. That can replace me. It can replace a taxi, but then to do the right hailing service. You need a certain scale. And that means a lot of cars on the road. And so you need an infrastructure to just. To maintain the car, take care of them, et cetera. And so my question is. Are you already working on that? Do you have already an idea of what like your plan to deploy looks like? And is that like a Tesla only plan or are you looking at partners local partners global partners to do that. And I'll have a quick for that. The search is just the Tesla network. You just literally open the Tesla app and summon a car and and reset a car to go up and take somewhere.
And the, you can, our fleet that's on the order of 7 million that are capable of autonomy soon. You know, in the years come, it'll be over 10 million, then over 20 million. This is an immense scale. And the car is able to operate. 24 seven, unlike the human driver. So. The capability to like if there's this basically instant scale with a software. And now this is for a customer on fleet. So you can think of that as being a bit like Airbnb like. You can choose to allow your part to be used by the fleet or. You know, cancel that and bring it back. You'll be used by the fleet all the time. It can be used by the fleet some of the time. And then Tesla would take which share on the revenue with the customer. But you can think of the giant fleet of Tesla vehicles as like the giant. So Airbnb. Equivalent fleet Airbnb on wheels. I mean, then, you know, in addition, we would make. Some number of cars. Or Tesla that would be owned by Tesla and be that fleet. I guess that would be a bit more like Uber. But this, this will be the Tesla network. And there's an important close we've put in. In every Tesla purchase, which is that the Tesla vehicles can only be used in the Tesla fleet. They cannot be used by third party. For talking.
Okay, and and do you think that scale like progress is so you can start in a city with just a handful of cars and you. You grow the number of cars over time or do you think there is like a critical mass? You need to get to to be able to offer like. A service that is of competitive quality compared to what like the like Uber would be typically delivering already. I guess I'm not, I'm not conveying this. The entire Tesla fleet basically becomes active. You know, this is obviously maybe there's some number of people who don't want their part of money, but I think most people will. It's instant scale. Thank you.
Our next question comes from Colin from Oppenheimer. Colin, please under yourself. Sorry about that guys. Yeah, good questions around energy storage, you know, with the, the types of client, the station story. Can you talk about your pricing strategy and how you're thinking about saturation and given geographies given that, you know, some of these. These larger systems are starting to shift wholesale power markets in a pretty meaningful way quickly. So yeah, I mean, you know, we are working with a lot set of players in the market and. The pipeline is actually pretty, pretty long. And there's actually a very, there's actually long end in terms of where you enter into a contract where the movie started starts happening. And so far we have good pricing leverage and now Mike, chime in on this too.
Yeah, I mean, there's there's a lot of competition from Chinese OEMs just like there is in the vehicle space so. We're in close contact with our customers and making sure that we're remaining competitive and where they're needing to be competitive to, to secure contracts to sell power and energy in the markets. We had a really strong contracting quarter and continue to build our backlog for 2025 and 2026. So we feel pretty good about where we are in the market. We realize that. Competition is strong, but we have a pretty strong value proposition with, you know, offering a fully integrated product with. Our own power electronics and site level control so.
Yeah, again, the aspect which people miss do not fully understand is that there's also a little software stack which comes with our mega pack. Right. And that is a unique proposition which we had, which is only available to us and we're using it with other stuff too but that gives us a much, much, much more of an edge as compared to the competition. Yeah, we find customers that they can sort of put together a large part solution. And then sometimes they'll pick that solutions and then that. That doesn't work. And then they come back to us. Yeah, we're not really seeing saturation for like on a global scale there's there's little pockets of saturation in different markets but. We're more seeing that there's markets opening up given. Demand on the grid just continues to increase more than anyone expects. So that just opens up markets really across the world and in different pockets. Yeah, just just even on the side. These these GPUs are really powerful. And the amount of new pipeline which we're getting for people for data center backup and things like that. Is increasing at a three large scale. Thanks.
是的,人们往往没有完全理解的一个方面是,我们的 Mega Pack 还附带了一套小型的软件栈。这是我们独有的优势,只能在我们这里找到,我们也在其他项目中使用它。这使得我们比竞争对手有了很大的优势。我们发现有些客户会自己组合一个大型的部分解决方案,但有时这些解决方案并不奏效,他们最后又回到我们这里。
我们并没有看到全球范围内的饱和现象,只是在一些市场中有小范围的饱和情况。实际上,由于电网需求的持续增长,超出所有人的预期,这反而在全球各地和不同市场中创造了更多的机会。
另外,值得一提的是,这些 GPU 非常强大,我们接到的用于数据中心备份等用途的新需求量也在大规模增长。谢谢。
And then the policy here is sitting around the 4680 process technology in the vulnerable process. You know, you, there's some news around your, your equipment suppliers. Can you talk about how far along you are in potentially qualifying and incremental supplier around some of the critical process technology steps. Yeah, I can, I can talk about that. You know, as you probably referring to the lawsuit that we have with one of our suppliers. Look, I don't think this is going to affect our ability to throw out 4680. You know, we have very strong IP position in the technology and. You know, the majority of the equipment that we use is in house designed and some of it's house built. And so we can, we can take our, our IP stack and have someone else build it if we, if we need to. So that's not really a concern right now.
Yeah, I think people don't understand just how much there will be for with storage. They really just like the people are under setting the demand by probably orders. So that's the, the, the actual. Energy total energy output of state the US grid is if the power plants can operate a steady state is at least. Two to three times the amount of energy of carbon produces. Because there are huge gaps. There's a huge difference in the. From peak to trough in terms of energy or power generation. So. In order for a grid to not have blackouts, it must be able to support. The load at the worst minute of the worst day of the year, the coldest or how to stay. Which means that for the rest of time, the rest of the year it's got massive excess. Power generation capability, but it has no way to store that energy. Once you add battery packs, you can now run the power plants at steady state. Steady state means that. You know, basically any given grid anywhere in the world can. Produced in terms of cumulative energy, the course of the year at least twice what it is currently producing. In some cases, maybe three times. Thank you.
The next is a very profound thing. Thank you. The next question comes from Colin Langen from Wells Fargo. Colin, please unmute yourself. Oh, great. Thanks for taking my questions. Do you hear me? Yeah. Sorry. I guess we ask, you know, if Trump wins, there's a higher chance that IRA could get cut. I think Elon, you had commented online that Tesla doesn't survive on ED subsidies. But when Tesla lose a lot of support, if IRA goes away, I think Model lot three and why get IRA help for customers and I think your batteries get production tax credits. So, so just what can you clarify if the end if IRA ends, you know, would it be a negative your profitability in the near term. Why might it not be a negative and then you know, any framing of the current support you get IRA related. I guess that there would be like some impact, but I think it would be devastating. I don't know if it was, but it would hurt the Tesla slightly. But long term probably actually helps Tesla. It might be my guess.
Yeah. But I have said this before, nice calls. The value of Tesla overwhelmingly there's an autonomy. These other things are in the noise relative to autonomy. So I recommend anyone who doesn't believe that Tesla will solve the economy should keep not hold Tesla stock. They should sell it as a start. If you believe Tesla will solve autonomy, you should buy Tesla stock. And all these other questions are in the noise. Yeah, I mean, I'll ask this just to just to clarify a few things that at the end of the day, when we are looking at our business. We've always been looking at it, whether or not I is there. And we want our business to grow healthy without having any, you know, subsidies coming in, which are where you look at it. And we have always modeled everything. And that is the way internally also, even when we're looking at battery costs. Yes, I, there are many fashion credits, which we get, but we always drive ourselves to say, okay, what if there's no idea benefit. And how do we operate in that kind of environment. And like Elon said, we definitely have a big advantage as compared to our competition on that front. We've delivered it and you can see it in the numbers over the years. So there is, you cannot import the fundamental sides of the business. And then on top of it, once you add, autonomy to it. Like you said, it becomes meaningless to you and think about the, the short term.
Okay. I think that's unfortunately all the time we have for today. We appreciate all of your questions. We look forward to talking to you next quarter. Thank you very much and goodbye. That's it. All right, guys, give me a second here. Give me one second. We'll go through. We'll go through the call and some. Some takeaways after. If you didn't have a chance, we did cover already the earnings report, shareholder letter, things like that, the financials. Earlier today, that's also on the channel. The link for that is in the description. But we'll go through this call. I don't think anything too groundbreaking in here. I don't think anything too, too shocking. There are probably just maybe a couple of notes, but probably a little bit less to go through. We're a little bit less to go through here than we, than we might normally have. Again, I think we're kind of just in a waiting period, both in terms of news and, and the financials and all sorts of things until we kind of get to this next leg of, of the business, which hopefully involves more revenue, more profit from things like FSD and, of course, next generation vehicle profits. But until then, I feel like we're kind of just not like treading water because Tesla's business is, I think, doing better than that. But it's a little bit to an extent that, that, that needs to, you know, there's, and this is not, not unprecedented in Tesla's history. If you go back, there are multiple periods of time where Tesla's business is kind of stagnated for a lack of a better term for a little bit, and then, you know, next, next leg comes. And that's just how sometimes businesses, especially long lead time, high cap X businesses like Teslas, that's just how it works sometimes. You're never going to have this consistent 50% growth every single quarter, every single year. Just not, not, not a realistic expectation to have. But as Elon said, you know, there's a lot to be excited about in the future, but it is still in the future and will still be in the future for, for quite a while until we get there. But hopefully we do get there, and I think there's a lot of reasons to believe in, in the strategy and what Tesla is building towards.
Alright, so, you know, one of the things I talked about earlier, I was hoping we get a little bit more information on sort of costs. Tesla did say at one point here that the costs I get sold for vehicles, excluding cyber truck did decline quarter over quarter. So that's positive. Obviously, we saw average selling price drop by about $750. The average cost to get sold for vehicles did increase very slightly, but that was driven by cyber truck, as we had mentioned as a possibility or an influencing factor there. So not too surprising. Unfortunately, the drop is probably not super significant, not in the realm of $750 like we saw on the average selling price part, which is driving the automotive gross margins down, excluding regulatory credits, which were obviously quite high this quarter at almost $900 million.
$12.5, we talked a little bit about before the earnings release came out, but as Elon had posted on X version 12.5, which I think right now is only going to hardware for model wise, does have five times the, five times the parameters that it's evaluating versus 12.4. So hopefully, and it sounds like so far, we are seeing pretty good progress from 12.3, which in my opinion has been a little bit better than 12.4. I know it's a little bit hit or miss for people, but hopefully 12.5 is a pretty good step forward. I think Elon said that they're going to, you know, 12.5 will merge highway and city driving. I don't think that's quite happened yet based on some comments from a show on Twitter, but it sounds like you want to say that that will happen soon or X rather.
$12.5, 我们在财报发布前稍微讨论了一下,但正如埃隆在 X(以前称为推特)上发布的 12.5 版,我认为目前只有硬件适用于 Model Y,它评估的参数数量是 12.4 版的五倍。所以希望并且到目前为止看起来我们从 12.3 版看到的进展相当不错,在我看来它比 12.4 版要好一些。我知道对有些人来说这些改进并不明显,但希望 12.5 版能有一个相当不错的进步。我记得埃隆说过,12.5 版会合并高速公路和城市驾驶功能。根据在推特上的一些评论,我认为这还没有完全实现,但看来他是想说这很快会发生,或者说在 X 上发布。
Sorry. A little bit more on FSD here. Elon had also commented a bit on this, just in a reply to somebody on X, but they postponed the Robo taxi event to October 10th. So we do now have a date eight, eight now becomes 10, 10. So we'll look forward to that. A couple of changes to Robo taxi and a couple of other things that they're going to show off. At one point later in the call, Elon talking about the Robo taxi did mention cyber taxi. I think he's posted before about cyber cab, but it certainly seems to be leading in that direction. Someone asked specifically about sort of a cyberized other vehicles and Elon didn't address anything in terms of that question, just saying, you know, we'll wait for future product announcements. But it is still seems to be some slipping in terms of the verbiage that's been used there a couple times implying that it will be some sort of cyber type of vehicle. So I definitely curious to see that, you know, in a couple months now, or I guess three months now.
Um, gigataxis. So talked a lot about the south and expansion. It sounds like they're getting really close on that probably this week, putting starting to install those GPUs in the shareholder deck. They did show their expected capacity increase for H 100 equivalents by the end of the year. Maybe one of the bigger things this call was doubling down on dojo. I'm not sure where that does on the notes in here, but specifically being asked about that, Elon just saying that because of the demand for Nvidia GPUs is so high, which I mean, you can see in videos, but I'm not sure if you're interested in this. And you can see it in videos, margins, they're crazy. There should be opportunity there not to discredit Nvidia or anything like that. Nvidia is doing amazing work. But with such high margins that shouldn't allow an opportunity for someone to come in. And even if they're producing it at twice the cost of Nvidia, they're still going to be able to give it to themselves. And if they're not purchasing it for themselves, using their own business for cheaper than what Nvidia would be charging them just because of, again, the high margins that Nvidia is able to command right now. So hopefully that allows an opportunity for dojo to kind of exist, even if it wouldn't be kind of at the level or at par with Nvidia from maybe a cost perspective or cost performance perspective. Their margins still allow room for that to be something that is actually a positive contributor to Tesla. So interesting, we've heard a lot of different comments over the years on dojo and Elon saying, you know, we have to double down. We don't really have a choice. And I think that's maybe in context of Robotaxia a little bit, but I think when Elon is thinking about it, he's probably thinking more in terms of optimus.
Sometimes people ask these questions of like, Tesla said that they're not compute constraint right now. Why do they need to continue to ramp up their GPU clusters and things like that? I mean, optimus is a huge part of the reason why. And just as Tesla continues, like they're not going to stop iterating on FSD just because they think it's close to being something that is capable of being unsupervised. They're going to want to go many steps beyond that. They're going to need to continue to train different models as they do that. So continuing to invest in that makes sense. And, you know, it's not solved yet. So with such a high value problem that isn't currently solved, even if they do think it's going to be solved, it's still worth making that investment because even if you overinvest in it, you're pretty quickly paid back from the business itself. So not a huge deal to overinvest. Underinvesting that obviously would have other implications.
Alright, I'm kind of just scrolling through the notes here. I'm not doing a great job of reading them as thoughts kind of just popping in my mind. Optimus version one, limited production early next year. Sounds like they want to ramp that up in production version two in 2026. I think we've kind of heard comments to that effect before. Nothing too crazy. Very excited about energy. We talked about that earlier. But yeah, phenomenal quarter for Tesla energy. I think they had a pretty profound comment, which I'll just kind of scroll down to your and try to come back to my where we were there in a second. But you once said, like, not a lot of people understand this saying the output of the current grid is like two to three times what is normally necessary because you need to account for the biggest of spikes.
Otherwise, you've got blackouts and whole host of issues. Battery storage allows both a couple of things. You can better utilize that additional capacity. You don't mess. I mean, it depends like how expensive that capacity is. There's all sorts of things that go into that. And it's very different based on what amount of capacity you're talking about locations. Tons of stuff goes into it very complicated, but being able to better utilize that capacity with batteries because you can use that capacity to charge them when that power is not going to another use. And sometimes you can even see Tesla being paid to do that to take that because it's the inertia of the grid.
It's just more cost beneficial to put that power somewhere than have to start and stop a power plant, something like that. So there are all sorts of effects here and Tesla's with Megapack and other people that are doing battery storage. That just makes the grid stronger, more resilient, better utilized, all sorts of things. And if you think in the future, power demands are probably going to keep increasing. I mean, we're seeing it now with AI infrastructure. As those things happen, batteries will allow potentially less power capacity needed to be put online because the power capacity is effectively being replaced by a power plant. And so it's basically being replaced by battery storage that can take advantage of the current capacity that we have now and just time shift it so that you don't have to build for an even bigger spike because you've already got the Megapack, which as we just went through, has so many other benefits.
So as Elon said, that's really not well understood. And it's kind of like historically we've had all these Tesla analysts that have kind of been like automotive analysts and they didn't really understand Tesla because of electric vehicles and Tesla software and supercharging and all sorts of other things that are not traditional to Tesla's or to the automotive business. You're going to see that same sort of lack of understanding with energy business, right? Like people that have done automotive analysis or maybe, you know, other technology are not going to have great understandings of the grid and how it works and how to take advantage of that. But it is a core part of Tesla's business now. I mean, what was it?
Three billion in revenue this quarter? 700 million in profits, I should probably double check that. But yeah, that's in the ballpark of the number 740 million in energy profit this quarter. You can't just annualize that because as Tesla said, it's something that is going to be a little bit volatile and we've seen that historically too with the energy deployments. But if you were to annualize that because eventually Tesla will get to this scale, you're talking about somewhere around, you know, two and a half, three billion dollars of gross profit each year. And Tesla's able to take that gross profit and leverage their fixed costs with the automotive business to an extent. So it really does become a pretty significant contributor to Tesla's bottom line already. And hopefully we're just in the very early innings of what this can be someday. So a lot to be excited about with energy. A lot of that becoming more and more visible as quarters go. It's just since we're here, I guess, IRA ending.
Yeah, it would be a pretty significant negative for Tesla in terms of profitability, like the analyst mentioned, both in terms of the EV tax credit, which I think most people think of initially. But there are also battery production tax credits there. There are also credits for solar, which not has big impact, obviously. But those solar investment tax credits, those also apply in some cases to energy storage, which I don't know as well in the utility space, how that all comes through. But certainly on the consumer side, that's going to be a factor. And then whether you're talking about vehicles or you're talking about energy, the battery production credits, those are going to be benefiting Tesla right now, regardless of which business you're talking about. So there are things in there. There are regulatory credits. Obviously not all of those are US-based, not all affected by the IRA, but it is something that it would have a significant impact on Tesla if it were to stop.
As Elon said, though, Tesla is probably in a position to be able to work through that. Like the numbers, financials are probably not going to look as good in the absence of that. For others, not that their financials are at a level that is sustainable anyway, but you take the IRA away and it's just, not that I feel like there's a great path for them anyway, but it just becomes even more difficult. So that's where Elon is saying, not that I think that he necessarily wants that, but that's where Elon is saying that if it's more harmful to competition than it would be for Tesla, then that probably strengthens Tesla's competitive position. I feel like not that Elon necessarily wants that because he's always wished the best for other EVs, other car makers, and wants them to make a transition as well. But I do tend to agree that it does make things more challenging for others than it does for Tesla, even though it does make things more challenging for Tesla. So hopefully that kind of makes sense.
All right, let me try to get back to where we were here. 4680s. So I think pretty good progress updates there. I think there's 1,400 Cybertrucks per week. I think they said production had tripled. So obviously this peak production rate or this average production rate isn't so much higher than the 1000 that we had heard before. I think maybe Tesla mentioned 1200 at the Q1 earnings report. I can't remember, but it sounds like the production is probably much more online than offline now because I think they said in the shareholder letter that Cybertruck production had tripled, if I recall correctly, which is, you know, much more than this additional 400 trucks or whatever that we're seeing, suggesting that the uptime is quite a bit higher. And then on 4680s, the dry cathode, the previously they were just doing the dry anode is my understanding of it. So with this, it hopefully is sort of, I don't know if it unlocks the full vision of what was presented with 4680s, but that's a huge part of what Tesla initially set out to do. And it sounds like they're pretty confident now that this will allow them to be significantly below other alternatives by the end of the year, which I know has been something that they have targeted. All right, so there's the dojo stuff. Optimus, I mean, I think we've talked all about plenty about Optimus, gigamexico, no surprise that it's paused. I mean, we've all been able to see that for quite a while. And the reasons make sense, right? We, you know, this is a big year politically. Things need to be sort of firmed up there a little bit before you'd want to make any significant investment, not that that's the only reason because certainly Tesla is, you know, adjusting their strategy anyway, as they kind of move into this next phase. Cyber truck, Robotaxi or cyber taxi or Robotaxi produced at Giga, Texas, so well, Optimus, I don't think that's anything new or surprising.
Oh, yeah, so good question by Alex Potter on licensing FSD. I think a lot of people would be very excited about an announcement just in terms of the effect on what that might do for the stock. This probably diminishes that a little bit because as Tesla, as Elon said, it would probably take other OEMs many years to actually fully integrate and make this something that would be basically worth Tesla's partnership. It's going to need to be, you know, on the order of a million vehicles or so to really make it worthwhile for probably either for the OEM or for Tesla. So, and something like that would probably take them quite a lot of time. It's not quite as simple as just slapping some cameras on the cars and going at it. So, probably throws a little cold water on any sort of announcement. If that were to happen, I still think it would be a very strong positive for the stock, but it's important to keep that in mind.
哦,对了,Alex Potter 提出关于FSD(全自动驾驶)的许可问题,这是个很好的问题。我想很多人会对这种公告感到非常兴奋,特别是考虑到这可能对股票产生的影响。不过,正如Elon(马斯克)所说,这可能会稍微减弱一些,因为对于其他原始设备制造商(OEM)来说,要完全整合并使其成为足以值得特斯拉合作的东西,可能需要很多年时间。大概要达到百万辆车的规模才可能真正值得无论是对OEM还是对特斯拉来说都是有意义的。所以,这样的事情可能需要相当长的时间。这并不像给车装上一些摄像头然后就能实现那么简单。所以,这种公告如果真的发生了,可能会让人的热情降温一些。不过,我仍然认为这对股票来说会是一个非常强劲的利好,但也需要记住这点。
The XAI situation, so Elon said, you know, there's literally nowhere for them to put the GPUs. So, if it's a matter of you just release them back to Nvidia and they sell them to another company or if they get allocated to XAI, probably it doesn't matter. Elon says this is actually beneficial to Tesla because obviously Tesla, in terms of being efficient with capital expenditures, you want to do that as close to the timing as possible. For when you're actually going to receive the benefit of that, that's very sound business practice.
Now, I know people will argue that that's not, Elon's not being truthful there or whatever, but if you just focus on the actual logistics of the situation, it's something that seems very logical to me, but everyone, obviously, free to make their own opinion on that. The talent stuff they've talked about before. Don't want to talk too much about new products. Some more optimist stuff, hardware 5, which they've talked about, scaling production of that in 2026. I don't think that's new. Distributed value of that hardware eventually, FSD licensing. So, some of the tariff situations in Europe, so I remember, I don't know if this was like January or December, but shortly before the end of the daily part of Tesla daily, we had talked about an article, I think, from Reuters that talked about how Europe was looking to crack down a little bit more on some of the EVs that were being imported from China. And it sounded like initially that was more of a look at some of the probably lower price point vehicles that weren't, you know, where Tesla was at. It sounds like now they are looking a little bit more at Tesla specifically, and that is probably going to have some repercussions, or is currently having some repercussions, and they're restrategizing a bit around that. So, probably something that's worth looking into a little bit more, and probably something that will also negatively affect Tesla's profitability, and maybe is already doing that a little bit this quarter, tough to say, but obviously they're already sort of making some adjustments there with the right hand drive vehicle production, as V above mentioned.
FSD regulations, nothing too interesting there, in my opinion. The 12.5 or 12.6 asking for regulatory approval in Europe, China. So I know there's been a lot of reports on that this year, I know in Europe there are some different parts of regulations that are under revision or under review, I guess. It sounds like maybe some of that stuff will happen later this year, but that would be very exciting. Obviously that would be a really big deal if they could get that approval in some other countries. It's take rates on FSD. All right, I think we probably missed a little bit in here as I was jumping around in the notes, but just trying to see if there was anything else too major. And then if anyone has questions, I'll try to just take a quick look, but hopefully we covered everything.
Like I said, I don't think there was anything like super ground breaking in either the earnings report today or in the call. I know the stock is down quite a bit, looks like 7.5% right now, which I don't know what that puts us at. Let me just check quick. 227, 228. Obviously disappointing to see that, but we have had quite a run over the last month. I think we'll still be up, you know, I don't know, 30, 25, 30% in the last month. So definitely a little bit disappointing, but also a little bit understandable.
As we talked about after the earnings letter came out, the 14.6% automotive gross margin X credits, falling 180 basis points quarter over quarter, definitely a little bit disappointing, I think, especially versus expectations. So, you know, that's probably one of the bigger things that's draining on things today. Obviously there were higher restructuring costs than expected. Again, I hope they'd share a little bit more on that on why that was, but I don't think we got too many comments on that. But that offset a little bit by regulatory credit's being quite high. So at the end of the day, I think the lower earnings that we're seeing is probably a result, mostly of the lower gross margins than expected.
Hopefully, though, as we move through, we'll see, I think Tesla said something about kind of expecting, I don't know if it was better demand or better deliveries or something in the third quarter. So if we can continue to grow in delivery capacity, and Tesla continues to make progress on 46.80 costs, cyber truck costs, things like that, Model 3 refresh. Hopefully that'll allow room for improvement a little bit, at least in the gross margins from this level. Although I don't think it's going to suddenly just jump back up to 20% or anything like that. So keep that in mind as well. And yeah, I think that'll mostly wrap it up again.
I'll take a quick look here, see if I can just happen to see any comments. I don't have a great setup here for Super Chats, but I really do appreciate that a lot. We've got Klaus here. Stevenson 720, thank you. Appreciate that. I'm just looking for questions. It's a little tough format wise, but I don't think I'm seeing a ton here. A couple more Super Chats, thank you guys, appreciate that. Hollywood KW. Awesome, thank you. Someone asking what my thoughts are on the cyber truck? Yeah, cyber truck's great. I think I've always been very favorable towards the cyber truck. I think I've always said that you've got to kind of see it in person that looks a lot different in person. I think most people are now coming around to that point of view, at least in the Tesla community. Maybe not more broadly, but yeah, it's something you've got to see in person. Driving in is great.
I think I had a very short experience driving in around the Tesla shareholder meeting. I think Sonor Beck for letting me do that, but it was great. I love the responsiveness with acceleration in electric vehicles. I feel like the steer by wire adds sort of a similar responsiveness to turning in an EV. You've got this instant response, both in terms of acceleration. You've got this instant response in terms of steering. It's just so both responsive and maneuverable, especially for such a big vehicle. It feels crazy in both of those ways. It's awesome. I love the cyber truck. I think it's great. I would love to get one. It doesn't make any sense because I don't drive enough and I live in Chicago, but otherwise I would very strongly be considering one.
All right. Well, thank you guys for tuning in. It's always great to spend some time here talking about Tesla and spending some time with you all. I appreciate it. We'll be back at some point at the latest next quarter for the Q3 earnings report, but we'll see what happens before then. I don't think the Robotax event would be a little bit before that if my calendar is correct, but who knows on that? We'll see, but looking forward to it.