Investor's Corner
What to look for in Tesla Motors Q1 Financials
Tesla (NASDAQ: TSLA) is set to announce its first quarter earnings report after market close on Wednesday, May 4, 2016.
TSLA reported 4th quarter 2015 earnings of $ -0.87 per share on February 10, 2016. This missed the consensus of $ 0.10 by $ -0.97 of the 16 analysts covering this company. Interestingly that turned out to be the end of a dramatic 42% slide which began on January 1st. Since then TSLA has moved from its lowest point of $141 on that day to roughly $250 per share, a 78% increase in just 3 months. That kind of tells you that TSLA is a stock not for the faint of heart.
The consensus of the 14 analysts covering TSLA for 1st quarter 2016 is a per share loss of $ -.57, with range estimates of: 0.080 | -0.569 | -1.000 (High | Mean | Low).
Based on 20 analysts offering 12-month targets from TSLA, the average price target is $243.95, effectively a zero-move from the current stock price. If you are an “investor” in TSLA stock, the pros tell you that TSLA will not go anywhere in the next 12 months.
So those are the numbers from the pros, but if you still decide that you want to trade TSLA stock, what should you be looking for in the quarterly results and the conference call webcast?
Q1 Vehicle Deliveries
Let’s take a look at a few items from the “Tesla 4th Quarter & Full year 2015 Shareholder Letter”.
In the “Q1 and Full Year 2016 Outlook” section, Tesla states that “we plan to deliver 80,000 to 90,000 new Model S and Model X vehicles in 2016. […] In Q1, we plan to grow deliveries 60% year on year to approximately 16,000 vehicles”.
We already know that Q1 deliveries did not meet the promised 16,000 units, as that number was actually 14,820, due to “severe Model X supplier parts shortages in January and February” as provided in a Press Release on April 4, 2016. In the same release, “Tesla reaffirms its full-year delivery guidance [of 80,000 to 90,000 vehicles].”
The missing income due to the delayed Model X vehicles delivery will be partially offset by the initial Model 3 “reservations”. It is quite interesting that reservations opened on March 31, 2016, the last day in the quarter, and at least 125,000 of them may be counted as an additional $125M income in Q1. In the end, guidance on vehicle deliveries for Q2 2016 will be one of the deciding factors on where TSLA stock moves post the Q1 report.
Cash Flow and Margins
In the same Q4 Shareholder Letter, Tesla states that “we expect to generate positive net cash flow and achieve non-GAAP profitability for the full-year 2016”, and “we plan to fund about $1.5 billion in capital expenditures without accessing any outside capital.” These are both very aggressive goals, especially in light of the 400,000+ Model 3 reservations, as of the latest disclosed counts. Elon Musk has already tweeted that he is “definitely going to need to rethink production plans”, which likely means that another factory will be needed to produce the Model 3 in a reasonable timeline that will allow delivery to the majority of the current reservation holders. This more aggressive delivery of Model 3 vehicles as originally envisioned will likely require outside capital for building such factory.
Definitely going to need to rethink production planning…
— Elon Musk (@elonmusk) April 1, 2016
Since missing the mark on Model X will impact cash flow for Q1, I would expect questions in the conference call asking if the issues have been resolved, and if the missing Model X numbers can be made up in Q2. While cash flow reversed action to the positive for the first time during Q4 2015, with a strong $179M cash flow from core operations, Tesla needs to prove that this behavior will continue in 2016.
Again in the Q1 Shareholder Letter, Tesla states that “Throughout the rest of 2016, Automotive gross margins should continue to increase. […] Model S gross margins should begin to approach 30% and Model X gross margins should be about 25%.” In Q4 gross margins were 20.9% for the Tesla Model S and even a slight increase in margins will be viewed positively by the market. This is a number that will be greatly watched as Tesla needs to prove that it can eventually deliver 500K+ vehicles / year at a profit. Much of the current valuation of Tesla stock is built on this assumption. Accordingly, a drop in margins for Q1 would be viewed very negatively by the market, at least for the short term.
Summarizing, besides vehicle delivery, cash flow and margins will be the other two drivers of the TSLA stock short-term market action after the Q1 report numbers are released.
Live Q&A Webcast
Tesla management will hold a live question & answer webcast on May 4 at 2:30pm Pacific Time to discuss the Company’s financial and business results and outlook. Live and replay webcast will be available at http://ir.teslamotors.com/eventdetail.cfm?EventID=171952 .
Tip of the Week
Starting with today’s posting I’ll be including a “tip of the week.” This may involve covering a trading concept, or recommending a website with tools or information useful to investors and traders of TSLA.
For this week, I am recommending signing up for the free Basic Membership of TipRanks. With it you can receive free alerts for 1 stock and 1 expert, which is enough for the ones just interested in TSLA stock. Happy trading.
Disclosure: I currently have no positions in any stocks mentioned, but I may plan to initiate positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Teslarati). I have no business relationship with any company whose stock is mentioned in this article.
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.




