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SpaceX valuation to grow by 27% as Starship, Starlink programs seek more funding
CNBC reports that SpaceX is seeking to raise at least $1.725 billion in its first funding round of 2022, potentially boosting the private company’s valuation as high as $127 billion.
The report signals just the latest in a long line of high-profile rounds of funding SpaceX has secured over the last seven years, gradually boosting its valuation by a factor of more than 100. More likely than not, this round will also be fully subscribed or even oversubscribed as investors scramble over a relatively rare opportunity to snag a small slice of SpaceX – a demand so high that Equidate once stated that SpaceX effectively had access to ‘an unlimited amount of funding’ in 2018.
Four years later, it’s clear that Equidate’s position and forecast were prescient. After a few slow years post-2015, SpaceX’s fundraising activity returned with a vengeance in 2019. From 2019 to 2021, the company privately raised more than $5.2 billion – nearly triple the amount of private funding SpaceX raised from 2002 to 2018. In the likely event that the latest in a long line of highly sought-after and oversubscribed SpaceX investment rounds, SpaceX will have ultimately raised between $8.6 and $9 billion since 2015, averaging about $1.3 billion per year over the last seven years.
More likely than not, a vast majority of that $9 billion has gone towards Starlink and Starship – both of which are also almost exclusively responsible for the fact that SpaceX’s valuation outmatches its annual revenue by a factor of several dozen. CEO Elon Musk has stated in 2017 and 2018 that SpaceX invested around $1 billion to develop Falcon booster reusability and more than $500 million to develop a triple-booster variant of Falcon 9 known as Falcon Heavy – still the most capable operational rocket in the world four years after its debut. It’s possible that some portion of SpaceX’s fundraising since 2015 has gone towards basic recurring expenses during years with few launches and relatively little revenue.
However, it’s likely that most or all of the remaining $7-7.5 billion – separate from several lucrative contracts awarded by the US military and NASA – has gone towards Starlink and Starship. In the last few years, SpaceX has effectively built a massive factory and launch pad for the largest rocket ever built (Starship) out of empty lots in South Texas. SpaceX has also turned several nondescript buildings near Seattle, Washington into the most productive satellite factory in spaceflight history and is working on additional factories to mass-produce hundreds of thousands to millions of cutting-edge satellite dishes per year to allow millions of people to connect to the internet through Starlink.
Assuming a rough marginal cost of $500,000 per satellite and $15 million per Falcon 9 launch, SpaceX could have easily spent more than $2 billion just to build and launch the ~2650 Starlink satellites it’s launched to date. Accounting for the annual salaries and overhead needed for the thousands of employees required to build those satellites and conduct more than 50 different Starlink launches, the true cost over several years could be closer to $3-5 billion. Meanwhile, Starbase has rapidly expanded, built vast new infrastructure, mass-produced around two-dozen different Starship tanks and prototypes, completed dozens of tests, built and tested 150-200 Raptor engines, and conducted nine major flight tests.
Up until late 2021, perhaps less than 5-10% of funding for the above activities came directly from US government contracts. While Starlink remains almost entirely privately funded, SpaceX’s Starship program received a major influx of funding and support from NASA through a $3 billion Moon landing contract awarded in April 2021, but protests from two competitors meant that funds from that contract only began reaching SpaceX around the end of the year. Ultimately, it’s not hard to see why SpaceX has needed to raise so much capital in the last three years.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
