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Key takeaways from Tesla’s Q3 report and Q&A with Musk

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Tesla released its third quarter earnings after the closing bell on Wednesday, surprising Wall Street after posting nearly $22 million in profit in the quarter. This is in sharp contrast to previous analyst expectations polled by FactSet which expected Tesla to report a GAAP loss of 53 cents a share in the third quarter, and an adjusted loss per share of 22 cents, narrower than the adjusted loss of 58 cents a share in the year-ago period.

Estimize, which crowdsources estimates from buy-side and sell-side analysts, fund managers, hedge funds and academics, expected Tesla to report an adjusted loss per shares of 4 cents. Estimates on E-Trade were between a loss of 4 and 7 cents. Noted Tesla Analyst Ben Kallo of Baird, expected non-GAAP earnings per share of $0.72.

All in all, given all these numbers, Wall Street was basically expecting a breakeven quarter.

Revenue

Total reported Q3 GAAP revenue was $2.30 billion, up 145% from Q3 2015. Tesla matched the higher end of the expectations. Another good news for the stock.

MarketWatch, in a live blog, called it a “Tesla earnings shocker – Actual profit”. Similarly, Bloomberg was surprised and posted the headline “Tesla Posts Rare Quarterly Profit as Musk Readies for SolarCity. The Wall Street Journal landed the news on its front page with the headline “Tesla Shares Jump after Posting Best Quarterly Sales Ever.”

I believe investors and analyst expectations were so low, that the clearly huge profit numbers were a “shock” to the market. This is Tesla first profitable quarter since the third quarter of 2014, a full 2 years ago, when Tesla eked out a minuscule profit of 2 cents a share. Tesla had reported losses ever since.

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Stock Reaction (after hours)

The stock ended the day regular session at $202.24, down 10c for the day.  The stock is down heavily from the $267 in early April, around the time Tesla started taking reservations for the Model 3.

The initial reaction of traders was very positive, as right after the quarterly results were published, Tesla shares rose as high as $215, about 7% in after-hours trading, with very high volume.

Source: optionhouse.com

Source: optionhouse.com

The conference call did not change much as the after-hour session closed at $212, or up about 5% so we would expect a higher opening on Thursday.

Analysts polled by TipRanks have an average rating of hold on the stock, with an average stock price target of $199.13, about even from current levels at the close. These levels may well be adjusted tomorrow on the upside 5-7%, given the huge beat on expectations.

Source: TipRanks

Source: TipRanks

Conference Call Q&A Top Quotes

Besides the financial report, investors wanted to hear about future production, which they are counting on to justify the still fairly high Tesla share price.

In the Tesla Third Quarter 2016 Update letter, Tesla noted that they “achieved record production levels in Q3, raising to 25,185 vehicles for an increase of 37% from Q2, and an increase of 92% from Q3 last year.” Also, Tesla “maintained guidance of 50,000 new vehicle deliveries for the second half of 2016 […] despite the challenges of winter weather and the holiday season.”

Best Quarter Ever

At the start of the conference call Elon Musk called the “quarter the best ever,” with fourth quarter expected to be great as well, with Q4 to be profitable even including non cash stock based expenses.

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Musk called it “One of the best moments in Tesla history.” Elon also addressed rumors of widespread discounting as reason for profit: called the, “absolutely false,” and pointed out that “vehicle profitability increased without ZEV credits.”

Model 3

Elon reiterates volume production for Model 3 in second half of next year. The terms that the company are getting for suppliers is much better. Model 3 production and logistics are way faster, says Musk. He also forecasts an increase in gross margin, even after big beat on that metric in the quarter just reported. As a result, Elon does say he doesn’t expect to raise more capital in Q1 2017, though he won’t rule it out.

Musk dodged a question about Model 3 deposits: “That’s not something we comment on and not something that deserves merit,” he says.

Elon listed his 3 top priorities: Model 3 production schedule, advancing autopilot software, and ramp up of 100 kWh production line. After the call, Musk will be at the 100 kWh production line as “demand is high,” he says.

SolarCity

The SolarCity deal about “cash neutral” for Tesla, Musk says. If this is indeed found to be true, it may help with the approval of the deal coming up soon for vote by the shareholders.

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“It’s important to have ‘tight control’ of solar panels production in order to have a ‘beautiful’ product. Confident it would have the best product at the best price, and one that would look better as well,” Musk says.

The solar roof product that will be offered by combined Tesla-SolarCity will “look better than a normal roof” and will be aimed at new houses being built and homes where the roof needs to be replaced anyway. Musk said that “People will be surprised by the product to be unveiled on Friday. It exceeded my expectation,” he says.

Full Autonomy

Elon said that “radar is moving from supplemental to primary sensor. Vision is still the main thing, but radar can be primary so you can take action based on radar, similarly as you can take action based on vision.” Elon also called out MobilEye for “issuing bullshit” on radar vs. vision argument in autonomous driving.

According to Musk, “Teslas on Autopilot are logging 1.5 million miles per day through all kinds of road conditions and weather all across the world.”

All in all no real surprises out of the conference call, and the good thing is that the stock held steady during the call. Definitely a good day for Tesla.

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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.

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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.

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

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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.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

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.”

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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.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

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.

SpaceX is charging Anthropic massive money for its compute

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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.

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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.

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