New Street Research managing partner Pierre Ferragu recently explained why Tesla’s (NASDAQ:TSLA) EV credits is only icing on the cake for the electric car maker. Tesla reported a revenue of $8.771 billion with a net income of $331 million in Q3, with regulatory credits accounting for $397 million of the EV maker’s earnings.
When asked about how regulatory credits have boosted Tesla’s numbers this year, Ferragu told Fox Business that the EV credits aren’t a big part of the electric car maker’s future valuation at all. This is partly due to regulatory credits being short-term, and Tesla’s vehicle margins.
“Why are you looking at profits of this year? You know Tesla is trading on maybe, like over 100x that, more than 100x that, so that’s not reason to drive our valuation of TSLA. What really matters is how much profit Tesla makes in 2025, in 2030. We’ve had a string of conversations about that,” said Ferragu.
He explained his stance further, saying: “So, to give you a sense of that, in 2025, I have Tesla making $16 of earnings per share just out of the auto business. And in that, there’s absolutely no credit revenues. We don’t have credit revenues in our model. Credit revenues are very short-term, have a very short duration, so you arrive at about $1.5 billion in pure profit this year. So that’s like free money Tesla gets and Tesla will be able to reinvest in their business.”
A big portion of Tesla’s EV credits come from its Fiat pooling deal which was estimated to be worth $1.8 billion through 2023 by Baird analyst Ben Kallo. Recently, Honda joined Tesla’s pooling deal with Fiat Chrysler Automobiles (FCA), probably increasing TSLA’s profitability with EV credits.
Many TSLA bulls, specifically retail investors who have accumulated a good number of shares over the years, agree with Ferragu’s assessment of Tesla’s use of EV credits. As TSLA Bull @stevenmarkryan explained, EV credits are more of a byproduct of Tesla doing what it is already doing. During his interview with Fox Business, Ferragu strived to explain Tesla’s profitability without EV credits on the table.
“But that money is going away relatively rapidly in the next three or four years. And that’s not part of the overall picture. What really matters today is to look at the gross margins of Tesla excluding the regulatory credits. And excluding credits, Tesla’s gross margins is about 20%, it’s a leading gross margin for a car manufacturer. And it continues to expand as the Model Y is a higher margin, the Model Y is included in the mix. That’s what really matters, and credits have nothing to blame there,” Ferragu said.
Morgan Stanley recently raised its price target for TSLA to $540. “Mine is a tad above that. It’s $578. They’re getting closer to the truth,” Ferragu commented during his interview.
In October, Ferragu released a New Street Research analysis on Tesla and set his $578 TSLA price target for the company. The analysis hinted at a decade of hyper-growth for Tesla. In it, Ferragu and his fellow analysts estimated that Tesla had an addressable market of 20 million units. The S3XY lineup directly addressed 8 million units with an additional “trading up” opportunity of 12 million units. The Cybertruck added an extra 3 million units to the equation.
Recently, Tesla joined the Zero Emission Transportation Association (ZETA) along with 28 other companies, like Rivian, Duke Energy, Seimens, and Lucid Motors. ZETA wants to reach 100% EV adoption by 2030 in the United States. In Europe, the EU Commission plans to enforce stricter emission standards that could kill the combustion engine by 2025. Other countries seem be preparing for an EV-lead auto industry as well, which could bring about Tesla’s hyper-growth in the next decade.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
