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Tesla beats Wall St. estimates: $7 billion revenue; record Model S, X orders; Model 3 production starts in July

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Tesla released its fourth quarter 2016 earnings after the closing bell on Wednesday, summarized in the Q4’16 Update Letter, surprising Wall Street after posting fourth quarter earnings loss of 69 cents a share, at the low end of the estimated analyst losses. Revenue was $2.28 billion versus an estimate of $2.13 billion.

The complete text of the Tesla Fourth Quarter 2016 Update letter can be seen at the end of this article. We’ve embedded a copy of the original document from Tesla.

Revenue

In the letter, Tesla announced that “2016 revenue of $7 billion, up 73% from 2015.”

This is the first time Tesla reported earnings since the company’s acquisition of SolarCity Corp. in mid-November. Tesla had done little to guide the market for how to expect results, leading some analysts to exclude the solar panel business from their estimates until greater clarity is provided. As a result, the estimates between analysts varied widely. Some were expecting the company to report a loss of as low as $0.43 per share on revenues of $2.18 billion for the December quarter. Other analysts were expecting a loss of as much as $1.19 a share. According to a consensus poll with analysts conducted by FactSet, Tesla was expected to report an adjusted fourth-quarter loss of 53 cents per share. Expectations varied greatly.

Model 3

In the letter, Tesla announced that “Model 3 on track for initial production in July, volume production by September” and reiterated that “the Model 3 and solar roof launches are on track for the second half of the year.”

The company also reported record high orders in Q4 for its Model S and X vehicles.

Elon has set a July 1 deadline for his suppliers and internal teams to be ready for production. Investors will be listening for additional information about the status of the Model 3 during the conference call scheduled for 2:30 pm PT today.

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An update on the Model 3 is highly anticipated. With Elon Musk’s goal of manufacturing and selling 100,000 to 200,000 Model 3’s in the second half of 2017, and half a million cars per year by 2018, this is a major driver for the stock. Since the company ended 2016 producing 83,922 cars, or roughly 230 cars per day, ramping up production sixfold will require new investments in equipment, people and facilities.

Guidance for 2017

In the letter, Tesla states that “We expect to deliver 47,000 to 50,000 Model S and Model X vehicles combined in the first half of 2017, representing vehicle delivery growth of 61% to 71% compared with the same period last year. In addition, both GAAP and non-GAAP automotive gross margin should recover in Q1 to Q3 2016 levels and then continue to expand in Q2 2017.”

Elon Musk has a history of setting ambitious targets and missing deadlines. Jeffrey Osborn, an analyst for Cowen and Co., wondered if the influence of Chief Financial Officer Jason Wheeler, after about 18 months into his job since coming from Alphabet Inc., would have been seen in setting more conservative 2017’s targets.

SolarCity

In the letter, Tesla announced that “SolarCity and Grohmann integrations underway.”

Elon Musk also faces the challenge of integrating SolarCity into Tesla. He dropped the word “Motors” from the company’s name earlier this month as he looks to make a fully integrated company that makes solar powers to generate energy, large batteries for storing that power at home and offices and electric cars that can run on it. Since the deal closed on Nov. 21, Tesla shares have risen almost 50%.

The quarter’s results include just over a month of the SolarCity merger. It may be difficult to determine how much it impacted Tesla’s numbers unless management provides specific information on SolarCity. March quarter’s guidance will be even more important than usual since it will include a full quarter of SolarCity’s business. Watch for some of these issues to be discussed in the Conference Call Q&A.

Cash

In the letter, Tesla announced that “Q3 to Q4 cash increased by over $300 million to $3.4 billion. In Q4, we increased cash by $309 million.”

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One of the big issues against the SolarCity deal was the effect it would have on Tesla’s cash pile just as it prepares to introduce the Model 3. Mr. Musk has said he has enough money, though signaled he might raise additional cash through the capital or debt markets. Tesla’s guidance in October suggested it planned to spend about $1 billion on capital expenditures in the fourth quarter. Tesla finished September with $3.1 billion in cash.

TSLA Stock

Tesla shares have been on a tear, up 53%to $277.39 since December 2 when they closed at $181.47. From a technical perspective the shares had created a double bottom when combined with the low from November 14 of $181.45. The 53% increase has led to the stock being overbought but the shares have been overbought since the beginning of the year when they were trading at $214. The shares are also 18% above their 50 day moving average and 29% above the 200 day moving average. All of these are bullish indicators, closely followed by technical investors and traders.

The previous time the shares were this far above its moving averages was back in 2014. While it may only be short-term the stock is more likely to move down vs. up after today’s earnings announcement.

Today’s session ended up closing 1.4% lower, with some traders not wanting to risk the huge gains over a Quarterly report.  Looking at the extended trading action after the close, the initial reaction to the numbers for Q4 2016 is hugely positive, with the stock raising to $280  just 1 minute after the close and continuing into the session. Expect a positive opening on Thursday.

[pdf-embedder url=”http://www.teslarati.com/wp-content/uploads/2017/02/TSLA_Update_Letter_2016-4Q.pdf”]

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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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