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Tesla’s Bitcoin investment has been a rollercoaster ride of gains and losses
One of the ultimate joyrides as a human is riding a rollercoaster. The anticipation of sitting in the train, waiting for dispatch as you slowly climb up the first gigantic hill, all for the anticipation to break. Suddenly, you’re falling down a 200+ foot drop, awaiting the next rise, which will unequivocally result in another slight drop. A short time later, you’re right back to where you started, in a pavilion, waiting to get off of the ride.
Tesla’s Bitcoin investment has been a comparable scenario described above: a meteoric climb, succeeded by a sharp drop, followed by tiny peaks and valleys. Ultimately, Tesla is right back to where it started.
In the company’s 10-Q filing with the SEC earlier today, the electric car company based out of Northern California detailed its tumultuous experience with Bitcoin, the cryptocurrency that could likely be attributed to most of the ranting and raving regarding digital assets. It allowed anyone who can access the document a peek into what kind of swings Tesla has been experiencing through its investment into Bitcoin, which was detailed in the 10-K filing after Q4 2020 results.
Climbing up the first hill
Tesla’s $1.5 billion investment started in the gate and quickly took off up the first hill of gains like a launch rollercoaster. The first hill lasted quite some time, as Bitcoin eclipsed $64,000 and put Tesla up a substantial sum. It is not known how many BTC Tesla received when it initially invested the $1.5 billion, but it is estimated that the price of the crypto was between $29,333 and $37,020. This would put Tesla’s potential holdings at between 37,020 to 51,137 BTC.
It was estimated that Tesla made close to or more than $1 billion as Bitcoin continued to rise in value through the early portion of 2021. According to an April report from Teslarati, “Even if Tesla only acquired the minimal amount of 37,020 Bitcoin in January, the company’s $1.5 billion investment would still be worth $2.3 billion today, hinting at a healthy profit of $800 million,” and that’s figure originates from the possibility of their lowest BTC investment. Tesla said it realized gains of $128 million from its digital assets in March 2021 alone.
After reaching all-time highs of over $64,829, Bitcoin started to tumble, bringing Tesla’s rollercoaster ride down its first and largest hill.
The Big Drop
The big drop occurred as Bitcoin began to slide in mid-May. From May 8th to the 22nd, Bitcoin slid from $58,788 to under $37,500. At one point, BTC even struck the $30,000 range before recovering to $38,000.
The slide was met with uncertainty, worry, and anxiety by many investors. But Musk solidified the fact that Tesla would keep its “diamond hands” and continue holding BTC, despite the volatility experienced during its epic fall.
The company wrote:
“During the three and six months ended June 30, 2021, we recorded $23 million and $50 million, respectively, of impairment losses on such digital assets.”
The Ride: Back to the Beginning
Through the tumultuous ride of the BTC rollercoaster through the first half of 2021, Tesla rode the hills, the turns, and loops and ended up right back where it started (basically). As of June 30, Tesla says the fair market value of such digital assets “was $1.47 billion.” Additionally, the company said that “as of June 30, 2021, the carrying value of our digital assets held was $1.31 billion, which reflects cumulative impairments of $50 million.”
It has been exciting, and it has been uncertain, but Tesla, like the rest of investors, is just along for the ride. Bitcoin’s volatility over the past few months may not have been expected by the diehard cryptocurrency supporters that have vocally supported it since its early days. Still, like anything else, it is an investment. Tesla is banking on a wider adoption of crypto in the coming months and years, something it has dabbled with in the past.
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.
