Investor's Corner
Tesla Q2 2018 earnings preview: Layoffs, auto revenue, cost of Model 3 ramp
All eyes will be on Tesla’s pace toward profitability on Wednesday, August 1 when the Silicon Valley company, led by CEO Elon Musk, releases its second quarter financial results after the closing bell. With the electric car maker meeting Musk’s self-imposed Model 3 weekly production target for the second quarter practically by the skin of its teeth, there is a good chance that Q2’s financial results will trigger even more volatility in Tesla’s stock (NASDAQ:TSLA). Here then, is a preview of what we can expect for Tesla’s Q2 2018 financial report and earnings call.
Automotive Deliveries and Revenue Impact
Tesla revealed Q2 deliveries totaling 40,740 vehicles, of which 18,440 were Model 3, 10,930 were Model S, and 11,370 were Model X when it released its production and delivery report earlier this month. Based on the company’s figures, the second quarter results are set to highlight the record deliveries for the Model 3, 10,000 more units compared to Q1. Charts displaying these could be viewed below, courtesy of Galileo Russell of YouTube’s HyperChange TV.
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- Tesla’s vehicle deliveries. [Credit: Galileo Russell]
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- Tesla’s Model 3 deliveries. [Credit: Galileo Russell]
Tesla posted revenue of $2.56B in Q1 for vehicle sales, including 8,182 Model 3s that were delivered to customers during the three-month period. Assuming that the additional 10,000 Model 3 delivered in Q2 averaged $55,000 per unit, Tesla could post an additional ~$550 million in earnings from the electric car. Revenue from Tesla’s vehicle leasing business likely remained flat considering that the lending option is not available yet for the Model 3. Service revenue could see a spike in Q2, however, as a result of more Model 3 vehicles being on the road.
The Price of the Model 3 Ramp
Tesla focused largely on the Model 3 ramp during Q2 2018, with the company pulling out all stops to hit its milestone of producing 5,000 Model 3 per week by the end of June. In order to achieve its target production rate, Tesla adopted unorthodox measures such as air-freighting robots and equipment from Europe and setting up an entirely new Model 3 assembly line on the grounds of the Fremont factory. These strategies likely resulted in additional expenses for the company in the second quarter. With the Model 3 ramp as a priority, Tesla’s other sources of income, such as its battery storage and solar business likely remained flat compared to Q1 as a result.
The company’s operational expenditure would likely see a slight bump in the second quarter due to the 9% layoffs that Tesla implemented to organize its workforce, considering that the restructuring included severance pay packages to employees who were terminated. In a video outlining his expectations for Tesla’s Q2 2018 results, the HyperChange TV host noted that he believes Tesla would post an estimated $4B in revenue with losses in the ~$500 million range. That’s a 43% increase in revenue compared to Q2 2017, when Tesla posted earnings of $2.8B, but also double the losses of the company’s losses in 2017’s second quarter.
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Looking Past Q2’s Aftermath
Overall, Tesla’s Q2 2018 quarter financial results would likely feature similarities with Q1, in the way that the company would show strong growth but post substantial losses and negative cash flow. Nevertheless, it is pertinent to note that while Q2 2018’s numbers could be discouraging, the quarter could be seen as a turning point for Tesla, especially with regards to its Model 3 ramp. The past quarters, Q2 2018 included, have been focused on bringing the vehicle’s manufacturing up to 5,000 per week, resulting in the company investing heavily in resources to help scale the vehicle’s production.
With the 5,000/week milestone attained and with Tesla now more focused on sustaining its Model 3 production rate, Q3 2018 would most likely feature a pathway to profitability in the form of more encouraging financials than the second quarter. Provided that Tesla adopts a deliberate, realistic plan for the further ramp of the Model 3, the next few quarters could very well prove to be profitable.
Watch Galileo Russell’s take on Tesla’s Q2 2018 financial results in the video below.
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
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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.
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.
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.
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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.
Tesla CEO Elon Musk says flying cars are coming
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
