Investor's Corner
Tesla stock (TSLA) one week after Q2 2016 Report
Post Q2 Report Action
As we previously reported, the Q2 quarterly results were “mixed”:
- Revenue matched expectation, a positive for Wall Street;
- Earning losses were higher than anticipated, a negative, but for a company like Tesla, where the stock price is based on future expectations, the earning numbers are really not what counts;
- Slightly increasing gross margins, a positive;
- Practically zero ZEV credits for the quarter, a negative;
- Production and demand on track to support 50,000 deliveries in 2H 2016, a positive;
- Lower production numbers than previously anticipated, a negative.
When you have such a mix of positives and negatives, it is fairly normal for traders to have a “subdued” response, unlike the usually wild responses to results that are big misses or big beats on expectations.
Accordingly, this time around the technical response of the stock market to last week’s Tesla Q2 2016 report has been “muted.” The stock has been in “compression” (a horizontal back and forth) since the report, staying in the $225-$230 range, but overall 12-month Analyst Price Targets have actually decreased with the average dropping from $277 to $244.
Looking at more details of the reactions to the report, this is a small sample from Top Analysts, noting that none of them changed their position.
Alexander Potter of Piper Jaffray says “Teslas untouchable brand helps investors look past million-dollar losses.”
“It’s hard to recommend a cash-burning company with such an uncertain outlook,” said Potter, who reiterated a neutral rating and $223 price target on the stock. But consumers and investors still seem captivated by Tesla’s products, said Potter. And as long as the company “retains this aura,” its stock multiple will “probably stay buoyant,” he said.
Brad Erickson of Pacific Crest says “The risks still outweigh the rewards.”
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“Brad rattled off a number of challenges Tesla still needs to tackle in a note to clients. But he reiterated a sector weight rating on the stock, said Tesla’s cash burn wasn’t as bad as expected during the quarter, and maintained the belief that the company’s longer-term vision is “second to none.”
Ben Kallo of Robert W. Baird says “Focus [is] on Tesla (TSLA) Production Ramp and Long Term Goals, Not Q2 Miss.”
Kallo commented, “Q2 revenue was in line with our estimate, but TSLA missed on EPS with higher-than-expected OPEX. Additionally, gross margin missed consensus estimates and was pressured during the quarter with the Model S refresh and X ramp, but automotive gross margin improved sequentially, which was better than we expected. Importantly, TSLA reaffirmed its 2H:16 delivery target of ~50k vehicles, expects margins to ramp in 2H:16 given higher manufacturing efficiency, and the Model 3 remains on track for 2H:17 production.”
Kallo also covers SolarCity (SCTY) and he commented that “Although SCTY has a 45-day go-shop period which could provide additional upside, we believe it is highly likely the TSLA and SCTY merger will go through, and we are moving to the sidelines.”
Colin Rusch of Oppenheimer “noted that Tesla appears to be taking on increasing responsibility when it comes to technology development.”
“Rusch wasn’t surprised by Tesla’s quarter, and the firm remains on the sidelines until Tesla can show some progress toward profitability. It also appears to have taken a hard line with suppliers on timelines, pricing and allocation of resources,” he explained. “While we see potential benefits, we note increasing risk on supplier pushback.”
Ryan Brinkman of J.P. Morgan noted that “JPMorgan cuts Tesla estimates on higher operating expenses.”
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“To reflect lower revenue and higher operating expenses following the company’s Q2 results, Brinkman cut his 2016 earnings per share estimate for Tesla to (32c) from $1.60. The analyst notes his 2016 earnings estimate was $4.62 a year ago and $2.74 at the start of this year. This reflects the “degree of consistent ratcheting down of near-term earnings,” Brinkman tells investors in a post-earnings research note. The analyst keeps an Underweight rating on Tesla with a $180 price target.”
Shelby Seyrafi of FBN Securities “reiterated a Buy rating on Tesla Motors (NASDAQ: TSLA), with a price target of $275.”
Seyrafi is a 3-star analyst with an average return of 0.5% and a 51.5% success rate. Seyrafi covers the Technology sector, focusing on stocks such as Hewlett Packard Enterprise, Dot Hill Systems Corp., and Concur Technologies.
Colin Langan of UBS, says “Tesla, SolarCity synergies still cloudy.”
“Colin noted Tesla announced details of its agreement to acquire SolarCity (SCTY) and provided synergy targets with the deal. UBS said they remain cautious on the deal given the lack of compelling synergies and the fact the deal is an unneeded distraction for Tesla management, which already faces challenges with its Model 3 launch and production targets. UBS maintained its Sell rating and $160 price target on Tesla shares.”
The overall consensus of analysts covering Tesl Motors, reported at tipranks.com, is neutral (hold).
Source: TipRanks
Trade Analysis
Quarterly Reports are usually the catalyst that start or stop actions for swing traders. The Q2 report was no different. I called for a bullish swing trade when the MACD crossed to the bulls on July 1st. The trade closed on August 4th when the MACD crossed to the bears, the day after the Q2 report was released. This was a good trade that gained over $14 in about a month period to traders that went long on the stock (see the shaded band in the chart below). For option traders this was a “fabulous” trade.
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A week after the report the market is undecided on what to do with TSLA in the short term. All indicators are “neutral”: the stock has gone sideways for a week; the MACD averages are flat and overlapping; the MACD itself is at zero; both the 50-day moving average (the red line in the chart below) and the 200-day moving average (the yellow line in the chart below) are flat. All of these indicators are showing the absence of a trend. Trading in these conditions is not advisable and fairly risky. I’m personally out of trading TSLA until a trend appears.
Source: Wall Street I/O
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.
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