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SpaceX bests Boeing to become NASA’s largest for-profit vendor
Fourteen years after winning its first major NASA contract, data shared by Aviation Week reporter Irene Klotz shows that SpaceX has usurped every other major aerospace company in the US to become the space agency’s largest for-profit vendor.
SpaceX’s ascension up those ranks has been arduous and far from guaranteed, but the company now provides NASA with a wide range of relatively affordable spaceflight services. SpaceX was paid a record $2.04 billion for those services in the 2022 fiscal year. Only the California Institute of Technology (Caltech), a nonprofit that includes the entirety of the Jet Propulsion Laboratory (JPL) and received $2.68 billion in the same period, ranks higher on NASA’s list of FY2022 vendors. Boeing came in third with $1.72 billion, followed by Lockheed Martin with $1.34 billion.
Cargo
NASA kickstarted its relationship with SpaceX in December 2008 when it awarded the company a $1.5 billion contract to develop the first versions of the Cargo Dragon spacecraft and Falcon 9 rocket and deliver cargo to the International Space Station (ISS). Famously, founder and CEO Elon Musk once told 60 Minutes that, to a degree, NASA’s contract saved SpaceX from imminent bankruptcy and possible dissolution.
Saved by the infusion of resources, SpaceX successfully debuted Falcon 9 in June 2010 and began operational ISS cargo deliveries under NASA’s Commercial Resupply Services (CRS) program in October 2012. Aside from a survivable engine failure on CRS-1 (2012) and one catastrophic Falcon 9 failure on CRS-7 (2015), NASA and SpaceX’s CRS cooperation has been a thorough success. SpaceX is just a few weeks away from CRS-26, which will likely become Cargo Dragon’s 26th successful ISS cargo delivery in 10 years.
NASA ultimately paid SpaceX $3.04 billion to complete its first 20 CRS missions. SpaceX’s newer CRS-2 contract, which bore launches in January 2021, has 15 missions on contract and will likely cost NASA another $3.5 billion by the mid-2020s. SpaceX launches an average of three CRS missions per year, likely translating to about $700 million in annual revenue. SpaceX completed two Cargo Dragon launches for NASA in FY2022.
Crew
The second biggest contributor to SpaceX’s NASA revenue is Crew Dragon. In 2014, NASA contracted with SpaceX and Boeing to independently develop spacecraft capable of safely transporting astronauts to and from the International Space Station (ISS), taking over the role the Space Shuttle and Russian Soyuz spacecraft filled from 2000 to 2020. Crew Dragon completed its first uncrewed orbital test flight in March 2019 and its first crewed test flight in May 2020. Operational launches began in November 2020.
Subverting all expectations, Boeing’s Starliner crew capsule completed its first fully successful uncrewed test flight in May 2022, a full three years behind SpaceX. Starliner’s first crewed test flight is now scheduled no earlier than (NET) February 2023, while its first operational astronaut launch is tentatively scheduled for Q3 2023 at the earliest. Thanks to Boeing’s woeful performance, SpaceX has been responsible for launching every NASA astronaut (save one) since late 2020 and will continue to do so well into 2023. That means that SpaceX is on call for two Crew Dragon launches per year for NASA, whereas the Commercial Crew Program originally hoped that SpaceX and Boeing would each launch once per year.
In 2022, NASA took the extraordinary step of purchasing eight additional Crew Dragon launches while buying zero extra Starliner launches. Through 2030, SpaceX is now under contract to complete 14 operational Crew Dragon missions for NASA for $4.93 billion – less than the $5.1 billion NASA will pay Boeing for just six operational Starliner launches. For its first six operational missions, SpaceX is charging NASA about $220 million apiece. For Crew-7 through Crew-14, SpaceX will charge approximately $290 to $300 million per mission.
SpaceX completed two Crew Dragon launches for NASA in FY2022.
Falcon
Aside from launching Dragons for NASA, SpaceX’s Falcon 9 and Falcon Heavy rockets are also heavily relied upon to launch a wide range of scientific spacecraft through the Solar System. Since 2010, NASA’s Launch Services Program (LSP) has paid SpaceX almost $1 billion to complete six launches (worth about $400M) and prepare for at least nine others. The nine additional LSP launches SpaceX is scheduled to complete between November 2022 and June 2026 will cost NASA around $1.4 billion. Five of those missions will use SpaceX’s larger Falcon Heavy rocket and represent more than $1 billion of that $1.4 billion.
In FY2022, SpaceX completed two NASA LSP launches for about $120 million.
Starship
Finally, the last major line item on NASA’s SpaceX expenditures is focused on Starship. In April 2021, NASA awarded SpaceX a $2.9 billion Human Landing System (HLS) contract (~$3 billion including previous funding) to develop a Starship-derived Moon landing system capable of transporting astronauts to and from the lunar surface. Since 2020, NASA has paid SpaceX $1.26 billion for its work on HLS, more than $800 million of which was disbursed in FY2022.
All told, a rough estimate of the four programs above accounts for about $1.82 billion of the $2.04 billion NASA paid SpaceX in FY2022. SpaceX was also paid about $50 million for work on its 2024 launch of Europa Clipper, leaving about $170 million that can probably be explained by other advance payments for work on upcoming Dragon and LSP launches.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
