The Tesla Model 3 was ranked number 1 on a new study that analyzed the value retention of vehicles on the market. The Model 3 only showed a depreciation of 5.5% compared to the price of a new unit. That’s half the depreciation compared of the second-ranked vehicle on the study’s Top 10 list, the incredibly popular Ford Ranger pickup truck.
The study from iSeeCars.com noted the difference in value between two Model 3s manufactured a year apart was only $2,529. That’s just roughly the price of a few options from Tesla’s online configurator, like paint and white seats. With prices this close, there will likely be very little incentive for prospective EV buyers to opt for a second-hand Model 3.
One of the key motivations for buyers of second-hand cars is the supposed low price of the used vehicles themselves. Cars are notorious for losing a significant part of their value as soon as they are driven off the lot, and generally, electric vehicles see an even steeper depreciation. But for Tesla buyers, the high value retention of the company’s vehicles means that most of the time, it becomes far more practical to acquire a brand new Model 3 from the electric car maker.
This is something that was highlighted by iSeeCars CEO Phong Ly in a statement. “Instead of buying a car that’s already been driven for one year, consumers can buy the new version of select vehicles with a purchase price of just a few thousand dollars more to avoid the uncertainties that come with purchasing a used vehicle,” he said.
The iSeeCars CEO has valid points. There are notable uncertainties when one purchases an electric car. A second-hand car whose previous owner was careless may be prone to more issues compared to a new vehicle, for example. Apart from this, purchasing new cars offer a lot of benefits to consumers, since buyers will have full control on what their cars will be equipped with, from its interior to software-based features such as the Full Self-Driving suite.
The benefits of new Teslas extend beyond the cars’ buyers as well. The electric car maker benefits from operating a fleet of vehicles that are comprised of mostly new cars. Tesla is known for incrementally improving its vehicles to an almost obsessive degree. This means that when it comes to Teslas, it is always in the best interest of consumers to purchase the latest cars to make sure that they are getting the best tech and features available.
Does this mean that there is no place for Teslas in the second hand market? Definitely not. Second-hand Teslas will likely play a valuable role in the years to come, considering that the company is still expanding its presence across the globe and is yet to enter some large markets like India. Tesla is on a path towards a future where it could eventually produce millions of cars every year. Once this happens, Teslas will likely become ubiquitous enough that the second-hand market for the company’s electric cars will be friendlier to buyers.
Second-hand Teslas can also play a huge role in the company’s Robotaxi Network, which will utilize vehicles for ride-hailing services. For owners who wish to operate several Robotaxis, even the small savings offered by pre-owned vehicles will go a long way to ensure that their return of investment is quick. For now, though, and as long as Tesla is demand constrained, buyers can expect the Model 3 to resiliently retain its value years after it is purchased.
If there is anything shown in iSeeCars’ recent study, it is that Tesla is breaking stereotypes once more. A separate study from the firm showed that electric vehicles depreciate by 56.6% in three years, significantly more than 38.2% average depreciation across most petrol vehicles. Tesla has bucked this trend, however, with its entire lineup of vehicles like the Model 3, Model S, and Model X.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
