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Here’s how many EVs were sold in the U.S. last year by model

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Tesla remained the top electric vehicle (EV) seller in the U.S. by a wide margin in 2024, gaining almost half of the emerging market and outselling the next several models combined with its own lineup, as shown in the latest data.

Cox Automotive released its Q4 and 2024 EV sales report last week, showing estimates of how many EVs were sold by brand and model, and highlighting how many units Tesla is delivering compared to other automakers for another year in a row. Total EV sales in the U.S. grew 7.3 percent year over year, amounting to a little over 1.3 million units—of which Tesla sold 633,762, or 48.7 percent.

Tesla’s total sales amounted to more than double those of the rest of the top 10 EVs sold in 2024, a list which was comprised of vehicles from General Motors (GM), Hyundai, Ford, and Rivian.

The Model Y and Model 3 were the top two EVs sold in 2024, with 372,613 and 189,903 units, respectively, as followed by the Ford Mustang Mach-E (51,745), the Hyundai Ioniq 5 (44,400), and the Cybertruck (38,965). By comparison, Tesla’s top three models outsold the rest of the top 10 EVs, which totaled 246,882, made up of the Ford F-150 Lightning, the Honda Prologue, the Chevy Equinox, the Cadillac Lyriq, and the Rivian R1S. The rest of the industry’s EVs combined made up 667,321 units, beating out Tesla’s total sales by just 33,559 units.

READ MORE ON U.S. EV MARKET: Tesla dominated the top 10 best-selling EVs in the U.S. in 2023

You can see nearly all the EV models sold in the U.S. below, with the Tesla Model X and Model S landing in the 15th and 24th spots, respectively.

EV models sold in the U.S. in 2024

  1. Tesla Model Y: 372,613
  2. Tesla Model 3: 189,903
  3. Ford Mustang Mach-E: 51,745
  4. Hyundai Ioniq 5: 44,400
  5. Tesla Cybertruck: 38,965
  6. Ford F-150 Lightning: 33,510
  7. Honda Prologue: 33,017
  8. Chevy Equinox EV: 28,874
  9. Cadillac Lyriq: 28,402
  10. Rivian R1S: 26,934
  11. BMW i4: 23,403
  12. Chevy Blazer EV: 23,115
  13. Kia EV9: 22,017
  14. Kia EV6: 21,715
  15. Tesla Model X: 19,855
  16. Nissan Ariya: 19,798
  17. Toyota BZ4X: 18,570
  18. Volkswagen ID.4: 17,021
  19. BMW iX: 15,383
  20. GMC Hummer Truck/SUV: 13,993
  21. Rivian EDV500/700: 13,423
  22. Ford E-Transit: 12,610
  23. Subaru Solterra: 12,447
  24. Tesla Model S: 12,426
  25. Kia Niro: 12,367
  26. Hyundai Ioniq 6: 12,264
  27. Mercedes EQE: 11,660
  28. Audi Q4 e-tron: 11,356
  29. Nissan Leaf: 11,226
  30. Rivian R1T: 11,085
  31. Lexus RZ: 9,697
  32. Mercedes EQB: 8,885
  33. BMW i5: 8,763
  34. Chevy Bolt EV/EUV: 8,627
  35. Audi Q8 e-tron: 7,936
  36. Chevy Silverado EV: 7,428
  37. Acura ZDX: 7,391
  38. Mercedes EQS: 6,963
  39. Hyundai Kona EV: 5,063
  40. Porsche Taycan: 4,747
  41. BMW i7: 3,431
  42. Jaguar I-Pace: 3,304
  43. Mini Cooper: 3,118
  44. Volvo XC40: 2,995
  45. Genesis GV70: 2,976
  46. Audi e-tron: 2,894
  47. Genesis GV60: 2,866
  48. GMC Sierra EV: 1,788
  49. Porsche Macan: 1,739
  50. Brightdrop Zevo 600/400: 1,529
  51. Volvo C40: 1,420
  52. Volkswagen ID.Buzz: 1,162
  53. Audi Q6 e-tron: 966
  54. Fiat 500e: 929
  55. Volvo EX90: 749
  56. Cadillac Escalade EV: 670
  57. Mini Countryman: 549
  58. Mercedes G-Class: 455
  59. Genesis G80: 397
  60. Jeep Wagoneer: 231
  61. Volvo EX30: 229
  62. Mercedes E-Sprinter: 191

*Additional EV Models: 27,089

*At the time of writing, Cox has not yet responded to Teslarati‘s requests for comment on which models make up this figure, or on whether the figure includes Lucid, Polestar, or other brands that were omitted from the data.

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Top 10 BEV sellers in the U.S. in 2024

  1. Tesla: 633,762
  2. GM: 112,897 (including Chevy, Cadillac and GMC)
  3. Ford: 97,865
  4. Hyundai: 61,727
  5. Kia: 56,099
  6. Rivian: 51,442
  7. Honda: 33,017
  8. Nissan: 31,024
  9. Mercedes-Benz: 28,154
  10. Audi: 23,152

You can see the full Cox Automotive spreadsheet on Q4 and 2024 U.S. EV sales here.

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Tesla outsold this luxury brand globally for the first time in 2024

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Investor's Corner

Tesla has one big financial question to answer for investors: Morgan Stanley

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Credit: Tesla

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.”

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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.

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Investor's Corner

SpaceX AI investment gamble will make it a big winner, firm says

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Credit: SpaceX

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.

SpaceX is charging Anthropic massive money for its compute

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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.

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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.

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News

Tesla headlights cause recall of over 20,000 Model 3 and Model Y

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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.

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.

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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.

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