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SpaceX wants to unleash Starhopper but longer Raptor test fires come first
According to SpaceX CEO Elon Musk, the next round of Starhopper activity will focus on removing the spacecraft prototype’s tethers and performing far more substantial hop tests.
Longer tests demand that SpaceX begins expanding the known performance envelope of its full-scale Raptor engine. Towards that end, longer-duration tests would need to be done at the company’s McGregor, TX development facilities to reduce risk, tests that Musk confirmed are already well underway. A recent Raptor static fire reportedly lasted no less than 40 seconds, more than enough time for a single-engine Starhopper to significantly expand both the maximum altitude and velocity of future hop tests. In support of the upcoming Starhopper test campaign, significant construction work is also ongoing at SpaceX’s Boca Chica test and development facilities.
Unleashing the Hopper
During the months of March and April, SpaceX’s South Texas team effectively completed Starhopper and put the prototype through its first real tests. The process began with tank proof tests in which Starhopper’s tanks were filled with liquid nitrogen – relatively neutral and unreactive – to safely identify and repair any leaks, while also subjecting the vehicle to cryogenic temperatures. The proof testing also put the newly installed ground systems (GSE) and vehicle-pad connection hardware through their paces before moving to Starhopper’s nominal liquid oxygen and liquid methane propellant.
Following at least half a dozen or so wet dress rehearsals (WDRs) that saw Starhopper loaded with LOx and methane, SpaceX technicians analyzed the health of the prototype and soon began live tests with a Raptor engine installed. Designed to produce no less than 2000 kN (450,000 lbf, 205 mT) of thrust at full throttle, Raptor offers more than twice the max thrust of the latest variant of the Merlin 1D engine that powers Falcon 9 and Heavy (941 kN or 212,000 lbf). In other words, a single Raptor should be more than enough to lift Starhopper off the ground 150+ tons of propellant aboard.
After several unsuccessful test attempts, Starhopper completed two static fires (<10s combined) and hopped – tethered – a handful of feet off the ground on April 3rd and 5th, three weeks after Raptor was first installed. Days later, the lone Raptor engine was removed from Starhopper and shipped back to SpaceX’s Hawthorne, CA factory or McGregor, TX testing facilities for post-test analysis and inspection. In short, SpaceX used Starhopper as a sort of ad hoc test stand for the second serial Raptor (SN02) produced, completing two major acceptance tests simultaneously.
A handful of concise tweets published by Musk in the last few days of April implicitly confirmed that the next steps for Starhopper involved untethered flights off its South Texas pad, once again powered by a single Raptor engine. As both the prospective altitudes and flight times rise for future Starhopper tests, so do the risks posed to SpaceX’s adjacent facilities and the prototype itself. To minimize those risks and progress the Raptor program as a whole, SpaceX has been extensively testing the third serial Raptor (SN03) at its McGregor facilities. Instead of a rushed test regime similar to the one that almost completely destroyed Raptor SN01 less than two weeks after testing began, SN03 is participating in a more cautious and systematic series of tests.
Confirmed by Elon Musk, this included significantly increasing the length of Raptor SN03’s latest static fires, culminating in an April 27th test that lasted ~40 seconds. Above all else, long test fires are necessary to demonstrate that Raptor can reliably operate for dozens of seconds at a time, given that any failure leading to a loss of thrust could cause Starhopper – basically a controlled explosive device – to fall out of the sky. The famous Musk/SpaceX ethos of moving fast and breaking things does not preclude a pragmatic attitude towards the destruction of facilities and prototypes that could take months and millions of dollars to rebuild.
The ETA of future hop tests is unclear. For the time being, it appears that SpaceX’s South Texas facilities will be caught up in construction work for at least another week. Whether or not Raptor SN03 is next in line for installation on Starhopper, SpaceX will likely put it through several more long-duration static fires before moving ahead with untethered hop tests. All things considered, the rough Starship prototype is unlikely to restart powered testing for another two or so weeks. Stay tuned!
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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.
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.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
