Three Tesla owners have sued the automaker in a class action lawsuit that was filed on August 2, 2023, after a report from Reuters last week claims the company “exaggerates” its range ratings.
Teslarati examined the complaint, and we are here to give you a breakdown of what the suit says and what the three plaintiffs are suing Tesla for.
The Plaintiffs
Tesla is being sued by James Porter, Bryan Perez, and Dro Esraeili Estepanian, who state in their complaint against the automaker that their action “arises out of Tesla’s false advertising of its electric vehicles’ range, which Tesla grossly overvalued when selling the vehicles to consumers.”
According to the complaint, Porter owns a Model Y Performance and noticed a discrepancy in his vehicle’s range was compared to what it told him:
“After taking delivery of his Tesla vehicle in June 2022, Plaintiff Porter fully charged his vehicle to 100% battery charge and took a 2-hour trip to visit family, approximately 92 miles away. When he arrived at his destination, Plaintiff Porter noticed that the vehicle was left with approximately 40% charge.”
Perez owns a Model 3 Long Range, and the complaint states he had the same issue:
“After receiving his Tesla vehicle, Plaintiff Perez fully charged his vehicle to 100% battery charge and took an approximately 90-mile trip to visit his parents. After returning home from the approximately 180-mile round trip, he noticed that his vehicle showed that it had roughly 10-15% charge remaining.”
Estepanian also has a Model 3 Long Range, and the complaint describes a similar situation:
“Plaintiff Estepanian travels 140 to 150 miles round trip for his daily commute, and he routinely charges his vehicle to 90% battery charge (which equates to approximately 299 miles), per Tesla’s recommendation. Based on a 90% battery charge (and 299-mile starting range), he typically returns from his approximately 150-mile round trip each day and his Tesla vehicle’s screen displays that approximately 100 to 110 miles of range remain, which equates to roughly 33% battery charge remaining. Thus, Plaintiff Estepanian’s electric vehicle consistently loses approximately 189 miles of range during his daily commute—despite only driving approximately 140 to 150 miles round trip each day.”
The Plaintiffs’ Claims
The plaintiffs state that range is a key feature of electric vehicles and is “one of the most important features that consumers generally consider when purchasing an EV, because it correlates to the distance they can travel before needing to recharge the vehicle.”
Throughout the suit, the complaint shows images of Tesla’s website, highlighting range ratings and other “key features,” including top speed and acceleration.
They also include other pieces of evidence that seem to indicate Tesla has exaggerated range estimates.
One part of the complaint states:
“Tesla’s tactics to inflate the range estimates for its vehicles has continued. Recently, South Korean regulators fined Tesla for false advertising the ranges of its vehicles. Specifically, the Korea Fair Trade Commission found that Tesla exaggerated the “driving ranges of its cars on a single charge, their fuel cost-effectiveness compared to gasoline vehicles as well as the performance of its Superchargers.”
They also stated that other car companies to do not exaggerate range ratings, citing Recurrent’s testing of the Ford Mustang Mach-E, Chevrolet Bolt, and Hyundai Kona:
“Other electric vehicle manufacturers do not overestimate the range of their vehicles to the same extent. For example, Recurrent tested the Ford Mustang Mach-E, the Chevrolet Bolt, and the Hyundai Kona—all electric vehicles and direct competitors to Tesla model vehicles—and found their estimated ranges to be more accurate. In fact, the Hyundai Kona generally underestimated the range the vehicle could travel before requiring a recharge.”
Allegations in the Class Action Suit
The plaintiffs seek to represent anyone in California who purchased any Tesla vehicle and hope to solve questions including:
- a. Whether Tesla model vehicles fail to deliver the advertised estimated vehicle range in normal driving conditions;
- b. Whether Tesla exaggerated its advertised estimated vehicle ranges;
- c. Whether Tesla knew that its advertised estimated vehicle ranges were exaggerated and could not be met under normal driving conditions;
- d. When Tesla gained such knowledge;
- e. Whether Tesla designed, manufacture, marketed, advertised, sold, or otherwise placed its model vehicles into the stream of commerce with such knowledge;
- f. Whether Tesla intentionally concealed the fact that its advertised estimated vehicle ranges were exaggerated or otherwise could not be met under normal driving conditions;
- g. Whether Tesla’s conduct to divert complaints from Class Members who voiced concerns over their Tesla model vehicle’s range violated the terms of Tesla’s warranties;
- h. Whether Plaintiffs and Class Members were harmed by the fraud and deceptive practices alleged herein;
- i. Whether Tesla was unjustly enriched by its deceptive practices; and
- j. Whether Plaintiffs and the Class are entitled to equitable or injunctive relief
The case is 3:2023cv03878, Porter et al v. Tesla, Inc., and has been assigned to Judge Laurel Beeler.
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Elon Musk
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
Investor's Corner
SpaceX makes $20 billion move to optimize its balance sheet
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
Elon Musk
SpaceX confirms third massive compute deal at Colossus data center
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.