News
Tesla posts ‘first positive surprise of year’ as Morgan Stanley breaks down Q2
Tesla posted what Morgan Stanley called its “first positive surprise of the year” as it beat delivery expectations for Q2 by around 6,000 units.
On Tuesday, Tesla reported its quarterly deliveries at 443,956, beating what Wall Street expected with its consensus figures at 438,019.
Tesla reports Q2 delivery and production figures, beating estimates
The beat was a big step in the right direction for Tesla, which has struggled to post any positive news so far in 2024 in terms of the grand scale. The automaker has struggled with growth, an expected bottleneck in its trek for EV sector domination as it finds itself in between two growth periods.
However, the Q2 numbers were labeled the “first positive surprise of the year” by Morgan Stanley analyst Adam Jonas, who said there were a few things to be happy about.
Delivery Beat
Tesla beat delivery expectations, but there is still a long way to go before bulls can truly be pleased with what they see. Although they increased deliveries quarter-over-quarter, the Q2 figures are lower than what Tesla reported in Q2 last year.
In order to keep things flat in terms of the annual growth rate and report 0 percent instead of a loss, Tesla will need to grow deliveries in the second half of next year by roughly 6 percent.
Inventory Reduction
Tesla delivered 33,000 more units than it produced, which means its inventory is starting to thin out.
This is a good thing from a consumer perspective because, in theory, it means that Tesla cannot keep up with consumer interest. It basically means demand for its vehicles is healthy, and people are willing to buy an inventory vehicle.
Jonas writes:
“Tesla delivered 33k units more than it produced in 2Q, driving a 7-day reduction in days’ supply of inventory (on a full calendar day basis) in the quarter. The 2Q inventory reduction substantially (but not fully) offsets the incresae in inventory seen in 1Q. At an ATP of $45k/unit this, by itself, drives a $1.5bn working capital inflow during the quarter — higher than the $600mm tailwind we have expected. Our 2Q forecast for $0.9bn FCF burn looks incrementally more conservative following this print.”
Energy Storage Deployments
Perhaps the biggest piece of information from the delivery report had nothing to do with cars in the slightest.
Tesla reported that it deployed 9.4 GWh of energy storage products in Q2, its biggest in history by a wide margin.
This was a 132 percent increase from Q1 2024, which was previously its largest deployment. Tesla rolled out 4.053 GWh of energy during this three-month span.
Tesla Energy posts record 9.4 GWh of battery storage deployed in Q2 2024
Jonas said the news was a “show stealer” and was nearly two-times what Morgan Stanley predicted for the calendar year.
The firm believes this could be something Tesla investors should pay attention to in the coming months:
“As Gen AI acceleration spurs a multigenerational increase in energy demand, electricity generation, and data center investment, we believe investors will begin to pay more attention to Tesla Energy, which we value at $36 per Tesla share ($130bn) as the business uniquely positioned to benefit from investment in the U.S. electric grid accelerated by the AI boom.”
Tesla Mojo
Jonas said that two weeks ago, clients were preparing for a rejection in ratification of Musk’s 2018 pay package. Now, they’re asking about “positive catalysts for 2Q and beyond.”
Investors were also asked this interesting question:
“Is this the same Tesla from early June?”
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Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
