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Tesla Model S hailed as fastest-selling 2nd hand electric car in the US
The Tesla Model S has been dubbed as the fastest-selling all-electric car in the United States’ second-hand car market from January to July this year. The full-sized premium sedan was given the distinction by automotive research firm iSeeCars.com, which aggregates second-hand auto listings across the country.
For its recent study, the auto research firm analyzed more than 4 million 1-3-year-old cars that were sold from January to July 2018. The firm noted in a report that overall, late-model vehicles usually take an average of 46.4 days before they are sold. iSeeCars.com CEO Phong Ly pointed out that cars which take longer to sell on the second-hand market usually signify that supply exceeds demand, while vehicles that are sold quickly usually connote that supply is lower than demand.
“It’s important to know how long vehicles stay on dealer lots because slower-moving cars can present negotiation opportunities for consumers. Cars that remain on market for longer than average indicate that supply is higher than demand, which could mean the pricing is too high or that the car isn’t as well-liked as its competitors,” Ly noted.
Among the United States’ available all-electric vehicles, the Tesla Model S stands as the fastest-selling used car from January to July. The all-electric car, which is designed by the company to be a vehicle that exceeds fossil fuel-powered competitors, spent an average of 32.4 days on used car dealer lots before getting sold. The iSeeCars.com CEO notes that such findings are primarily due to the Model S’ dominance in the premium all-electric car segment.
“The Model S is currently the only all-electric luxury car available, and its demand outstrips supply leading to scarcity in the used-car marketplace. Those who purchase a new model have to wait at least a month for delivery while there is no wait time for a used version,” Ly noted.
The Tesla Model S ranked as the second-fastest-selling used passenger car in the United States overall as well, directly behind the Toyota Prius C, an affordable hybrid vehicle that’s smaller than the full-sized Toyota Prius. The Prius C takes an average of 29.6 days before it is sold on second-hand dealer lots.
The findings of iSeeCars.com‘s study are in line with the results of another survey conducted by car-shopping platform Autolist.com last year. The results of Autolist.com‘s study concluded that used Tesla Model S sell 5% quicker than other luxury sedans from competing automakers such as the Audi A7, the Porsche Panamera, the BMW 6 Series, the Mercedes-Benz CLS, and even the Lexus LS 460. This was despite the average listing price of second-hand Model S being roughly 3% to 5% higher than comparable vehicles.

The number of the company’s electric cars on US roads is bound to increase, particularly since Tesla is now optimizing the production of the Model 3. With this, the second-hand market for the company’s electric cars would likely exhibit some growth. The impending rise in the number of Teslas on the road has been teased by Elon Musk in a letter to employees, where he noted that the company is “about to have the most amazing quarter in (its) history, building and delivering more than twice as many cars as (it) did last quarter.”
Considering that Tesla delivered a total of 40,740 vehicles and produced a total of 53,339 electric cars in Q2 2018, Elon Musk’s statement in his letter appears to be quite ambitious. That being said, Tesla board member Kimbal Musk noted during a recent segment on CNBC’s Closing Bell that this month would be pretty exciting for the company.
“This month is an exciting month for us. You know, it’s really gonna blow people’s minds how many Model 3s are gonna appear in America in just the next couple of weeks,” he said.
Watch Kimbal Musk’s discuss Elon Musk and the Model 3 in CNBC’s Closing Bell in the video below.
Elon Musk
Elon Musk reveals date of Tesla Full Self-Driving’s next massive release
Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.
Tesla CEO Elon Musk revealed the date of Full Self-Driving’s next massive release: v14.3.
For months, Tesla owners with Hardware 4 have been utilizing Full Self-Driving v14.2 and subsequent releases. Currently, the most up-to-date FSD version is v14.2.2.5, which has definitely brought out mixed reviews. With releases, some things get better, and other things might regress slightly.
For the most part, things are better in terms of overall behavior.
However, many owners have been looking forward to the next release, which is v14.3, about which Musk has said many great things. Back in November, Musk said that v14.3 “is where the last big piece of the puzzle lands.”
He added:
“We’re gonna add a lot of reasoning and RL (reinforcement learning). To get to serious scale, Tesla will probably need to build a giant chip fab. To have a few hundred gigawatts of AI chips per year, I don’t see that capability coming online fast enough, so we will probably have to build a fab.”
Initially planned for a January or February release, v14.3 aims to add some reasoning and logic to the decisions that Full Self-Driving makes, which could improve a lot of things, including Navigation, which is a major complaint of many owners currently.
Tesla Full Self-Driving v14.2 is a considerable improvement from early versions of the suite, but we have written about the somewhat confusing updates that have come with recent versions.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
They’ve been incredibly difficult to gauge in terms of progress because some things have gotten better, but there seems to be some real regression on a handful of things, especially with confidence and assertiveness.
Musk confirmed today on X that Tesla is already testing v14.3 internally right now. It will hit a wide release “in a few weeks,” so we should probably expect it by late April.
It’s in testing right now. Wide release in a few weeks.
— Elon Musk (@elonmusk) March 19, 2026
Overall, there are high hopes that v14.3 could be a true game changer for Tesla Full Self-Driving, as many believe it could be the version that Robotaxis in Austin, Texas, some of which are driverless and unsupervised, are running.
It could also include some major additions, including “Banish,” also referred to as “Reverse Summon,” which would go find a parking spot after dropping occupants off at their destination.
What Tesla will roll out, and when exactly it arrives, all remain to be seen, but fans have been ready for a new version as v14.2.2.5 has definitely run its course. We have had a lot of readers tell us their biggest request is to fix Navigation errors, which seem to be one of the most universal complaints among daily FSD users.
Cybertruck
Chattanooga Charge: Tesla and EV fans ready for the Southeast’s wildest Tesla party
From Cybertruck Convoys to Kid-Friendly Fun Zones: The Chattanooga Charge Has Something for Everyone
Hundreds of like-minded Tesla and EV enthusiasts are descending on Chattanooga Charge this weekend for the largest Tesla meet in the Southeast. Taking place on March 20–22, 2026 at the stunning Tennessee Riverpark.
If you were there last year, you’ll know that it’s the ultimate experience to see the wildest Teslas in action, see the best in EV tech, and arguably the most fun – finally put a name to the face and connect with those social media buddies IRL! Oh, and that epic night time Tesla light show is a once-in-a-lifetime experience that will transform the Riverpark into something out of a sci-fi film that’s remarkably unforgettable and must be seen in person.
This year’s event takes everything up a notch, with over 100 Cybertrucks expected to be on display, many sporting jaw-dropping modifications and custom wraps that push the boundaries of what these stainless steel beasts can look like.
Whether you’re a diehard Tesla fan, EV supporter, or just EV-mod-curious, the sheer spectacle is worth the drive.
The Chattanooga Charge doesn’t wait until Saturday morning to get started. The weekend technically kicks off Friday, March 20th, and the venue sets the tone immediately. Come share roadtrip stories over drinks at the W-XYZ Rooftop Bar on the top floor of the Aloft Chattanooga Hamilton Place Hotel, with sunset views over the city.
Come morning, nurse your hangover with a some good coffee, and convoy with hundreds of other Tesla and EV drivers through Chattanooga to the event for some morning meet and greets before the speaker panel starts and the food trucks fire up.
Tesla owner clubs travel from across the country to be here, not just to show off their vehicles,, but to connect, share, and celebrate a shared passion for the future of driving.
Sounds like a plan to me. See you there, guys. Don’t miss it. Get your tickets at ChattanoogaCharge.com and join the charge. 🔋⚡
Chattanooga Charge is a premier Tesla and EV gathering inspired by the X Takeover, known as one of the largest Tesla event gatherings. What began as a bold idea from the team at DIY Wraps/TESBROS, hosted in their hometown of Chattanooga, Tennessee, the event quickly became a movement across social media. The first annual Chattanooga Charge united over 16 Tesla clubs from 16 states, proof that the EV community was hungry for something big in the South. Year after year, the event has grown in scale, ambition, and heart.
News
Tesla Full Self-Driving gets latest bit of scrutiny from NHTSA
The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.
The National Highway Traffic Safety Administration (NHTSA) has elevated its probe into Tesla’s Full Self-Driving (Supervised) suite to an Engineering Analysis.
The analysis impacts roughly 3.2 million vehicles across the company’s entire lineup, and aims to identify how the suite’s degradation detection systems work and how effective they are when the cars encounter difficult visibility conditions.
The step up into an Engineering Analysis is often required before the NHTSA will tell an automaker to issue a recall. However, this is not a guarantee that a recall will be issued.
🚨 The NHTSA said it was upgrading a probe into Tesla’s Full Self-Driving (Supervised) platform to an “engineering analysis”
It will examine 3.2 million vehicles and aims to determine its effectiveness in evaluating degraded road conditions pic.twitter.com/2dkrv1mR8o
— TESLARATI (@Teslarati) March 19, 2026
The NTHSA wants to examine Tesla FSD’s ability to assess road conditions that have reduced visibility, as well as detect degradation to alert the driver with sufficient time to respond.
The Office of Defects Investigation (ODI) will evaluate the performance of FSD in degraded roadway conditions and the updates or modifications Tesla makes to the degradation detection system, including the timing, purpose, and capabilities of the updates.
Tesla routinely ships software updates to improve the capabilities of the FSD suite, so it will be interesting to see if various versions of FSD are tested. Interestingly, you can find many examples from real-world users of FSD handling snow-covered roads, heavy rain, and single-lane backroads.
However, there are incidents that the NHTSA has used to determine the need for this probe, at least for now. The agency said:
“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”
It continues to say in its report that a review of Tesla’s responses revealed additional crashes that occurred in similar environments showed FSD “did not detect a degraded state, and/or it did not present the driver with an alert with adequate time for the driver to react. In each of these crashes, FSD also lost track of or never detected a lead vehicle in its path.”
The next steps of the NHTSA Engineering Analysis require the agency to gather further information on Tesla’s attempts to upgrade the degradation detection system. It will also analyze six recent potentially related incidents.
The investigation is listed as EA26002.