Investor's Corner
Tesla at $420 is a bargain considering its Autopilot data is key to a self-driving future
Questions continue to swirl around the fate of Tesla stock (NASDAQ:TSLA) as the market waits for updates about Elon Musk’s initiative to make the company private. Tesla’s privatization, provided that it does go through, will be the largest one in history, amounting to around $70 billion at Musk’s target of $420 per share. While this amount is substantial, $420 is actually a pretty good deal for Tesla’s would-be funding partners, considering the volume of Autopilot data the company has gathered from its Model S, Model X and Model 3 fleet.
Tesla’s possible privatization has caused wild swings in Tesla’s stock price, though not too far a departure from its usual volatility. Upon Musk’s announcement, shares climbed up 11%, before falling back as reservations emerged from critics about the plausibility of the company’s privatization. On Thursday’s after-hours, Tesla stock recovered some of its losses as the company’s board of directors issued a statement stating that they would formally review Musk’s plans.
Gene Munster, Managing Partner at Loup Ventures believes that there is more than a 50% chance that Tesla would become a private company. Munster noted that while concerns about the possible repercussions of Musk’s go-private Twitter announcement might affect the stock, the effects would only be felt at the very short-term. Ultimately, the venture capital firm believes that neither Tesla nor Elon Musk is at legal risk, especially since the company stated on a 2013 Form 8-K that social media might be used as an outlet for disseminating company information. Loup Ventures also estimates that Tesla would need around $25-$30 billion to take the electric car and energy company private.
If Loup Ventures’ calculations prove accurate, the entities providing the company with the funding to go private would be getting quite a deal at $420 per share. Apart from Tesla’s electric car and energy business — both of which are growing at an immense rate — investors would also be buying into a company that holds what could very well be automotive world’s most extensive amount of real-world driving data. As of July, a report from MIT’s Lex Fridman estimated that Tesla had acquired around 1.2 billion miles on Autopilot and approximately 7.8 billion miles in Autopilot “Shadow Mode.”
In comparison, Waymo’s fleet of vehicles have driven a total of 5 million real-world miles in self-driving mode and an additional 5 billion miles in simulation as of May this year. GM Cruise, another leader in self-driving technology, does not release the numbers of its fleet, but accident and disengagement reports based on autonomous miles driven provide a rough estimate of the miles Cruise’s vehicles have traveled so far. Between June 2015 and November 2017, the California Department of Motor Vehicles estimated that GM Cruise’s self-driving cars covered a total of 141,691 miles in CA. Morgan Stanley analyst Adam Jonas estimates Waymo to be worth $175 billion. GM Cruise, on the other hand, is valued at $11.5 billion after securing more funding from Softbank’s Vision Fund earlier this year.
Tesla’s development of self-driving technologies has taken a backseat in the media coverage of the company, particularly during the past year as the company struggled with the Model 3 ramp. Regardless of this, Keith Wright, a professor from Villanova University, notes that Elon Musk’s decision to invest heavily in AI would likely pay off soon. Among the participants in the self-driving race, Tesla is the company with the most real-world experience. Elon Musk once noted that it would likely take around 6 billion real-world miles before regulators would approve self-driving technology. So far, Tesla is the company closest to that mark.
Tesla’s focus on data gathered from real-world miles was emphasized by Nidhi Kalra, a senior information scientist for the RAND Corporation, a nonprofit research organization. According to the information scientist, simulations such as the ones used by Waymo to train its fleet of autonomous vehicles are a “simplification” of the real world.
“The problem with any simulator is that it’s a simplification of the real world. Even if it stimulates the world accurately, if all you’re simulating is a sunny day in Mountain View with no traffic, then what is the value of doing a billion miles on the same cul-de-sac in Mountain View? I’m not saying that’s what anyone’s doing but without that information we can’t know what a billion miles really means. Real-world miles still really, really matter. That’s where, literally, the rubber meets the road, and there’s no substitute for it,” Kalra said.
And Tesla is just getting started. In Tesla’s Q2 2018 earnings call, the company provided an update on its efforts to develop its own self-driving hardware. According to Pete Bannon, who leads the development of Hardware 3, the company’s new hardware is different from the industry standard.
“We did a survey of all of the solutions that were out there for running neural networks, including GPUs. We went and talked to other people like at ARM that were building embedded solutions for running neural networks. And pretty much everywhere we looked, if somebody had a hammer, whether it was a CPU or a GPU or whatever, they were adding something to accelerate neural networks. But nobody was doing a bottoms-up design from scratch, which is what we elected to do.”
“We had the benefit of having the insight into seeing what Tesla’s neural networks looked like back then and having projections of what they would look like into the future, and we were able to leverage all of that knowledge and our willingness to totally commit to that style of computing to produce a design that’s dramatically more efficient and has dramatically more performance than what you can buy today.”
Tesla could very well be approaching its most significant turning point in years. Regardless of whether Tesla becomes private or not, one thing seems sure — once Tesla starts rolling out its first full self-driving features, and once Hardware 3 makes it to the company’s fleet, leaders in the self-driving industry would probably be forced to recognize the presence of a new, possibly dominant player.
Disclosure: I have no ownership in shares of TSLA and have no plans to initiate any positions within 72 hours.
Investor's Corner
Barclays lifts Tesla price target ahead of Q3 earnings amid AI momentum
Analyst Dan Levy adjusted his price target for TSLA stock from $275 to $350, while maintaining an “Equal Weight” rating for the EV maker.
Barclays has raised its price target for Tesla stock (NASDAQ: TSLA), with the firm’s analysts stating that the electric vehicle maker is approaching its Q3 earnings with two contrasting “stories.”
Analyst Dan Levy adjusted his price target for TSLA stock from $275 to $350, while maintaining an “Equal Weight” rating for the EV maker.
Tesla’s AI and autonomy narrative
Levy told investors that Tesla’s “accelerating autonomous and AI narrative,” amplified by CEO Elon Musk’s proposed compensation package, is energizing market sentiment. The analyst stated that expectations for a Q3 earnings-per-share beat are supported by improved vehicle delivery volumes and stronger-than-expected gross margins, as noted in a TipRanks report.
Tesla has been increasingly positioning itself as an AI-driven company, with Elon Musk frequently emphasizing the long-term potential of its Full Self-Driving (FSD) software and products like Optimus, both of which are heavily driven by AI. The company’s AI focus has also drawn the support of key companies like Nvidia, one of the world’s largest companies today.
Still cautious on TSLA
Despite bullish AI sentiments, Barclays maintained its caution on Tesla’s underlying business metrics. Levy described the firm’s stance as “leaning neutral to slightly negative” heading into the Q3 earnings call, citing concerns about near-term fundamentals of the electric vehicle maker.
Barclays is not the only firm that has expressed its concerns about TSLA stock recently. As per previous reports, BNP Paribas Exane also shared an “Underperform” rating on the company due to its two biggest products, the Robotaxi and Optimus, still generating “zero sales today, yet inform ~75% of our ~$1.02 trillion price target.” BNP Paribas, however, also estimated that Tesla will have an estimated 525,000 active Robotaxis by 2030, 17 million cumulative Optimus robot deliveries by 2040, and more than 11 million FSD subscriptions by 2030.
Investor's Corner
BNP Paribas Exane initiates Tesla coverage with “Underperform” rating
The firm’s projections for Tesla still include an estimated 525,000 active Robotaxis by 2030.
Tesla (NASDAQ: TSLA) has received a bearish call from BNP Paribas Exane, which initiated coverage on the stock with an Underperform rating and a $307 price target, about 30% below current levels.
The firm’s analysts argued that Tesla’s valuation is driven heavily by artificial intelligence ventures such as the Robotaxi and Optimus, which are both still not producing any sales today.
Tesla’s valuation
In its note, BNP Paribas Exane stated that Tesla’s two AI-led programs, the Robotaxi and Optimus robots, generate “zero sales today, yet inform ~75% of our ~$1.02 trillion price target.” The research firm’s model projected a maximum bull-case valuation of $2.7 trillion through 2040, but after discounting milestone probabilities, its base-case valuation remained at $1.02 trillion.
The analysts described their outlook as optimistic toward Tesla’s AI ventures but cautioned that the stock’s “unfavorable risk/reward is clear,” adding that consensus earnings expectations for 2026 remain too high. Tesla’s market cap currently stands around $1.44 trillion with a trailing twelve-month revenue of $92.7 billion, which BNP Paribas argued does not justify Tesla’s P/E ratio of 258.59, as noted in an Investing.com report.
Tesla and its peers
BNP Paribas Exane’s report also included a comparative study of the “Magnificent Seven,” finding Tesla’s current market valuation as rather aggressive. “Our unique comparative analysis of the ‘Mag 7’ reveals the extreme nature of TSLA’s valuation, as the market implicitly says TSLA’s 2035 earnings (~55% of which will be driven by Robotaxi & Optimus, w/ zero sales now) have the same level of risk & value-appropriation as the ‘Mag 6’s’ 2026 earnings,” the firm noted.
The firm’s projections for Tesla include an estimated 525,000 active Robotaxis by 2030, 17 million cumulative Optimus robot deliveries by 2040 priced above $20,000 each, and more than 11 million Full Self-Driving subscriptions by 2030. Interestingly enough, these seem to be rather optimistic projections for one of the electric vehicle maker’s more bearish estimates today.
Tesla (NASDAQ: TSLA) had coverage initiated on it by a new firm this week, and analysts said that the company’s comfort level with taking risks makes it a “must own” for investors.
Melius Research and analyst Rob Wertheimer initiated coverage of the stock this week with a $520 price target and a “Buy” rating. The price target is about 20 percent higher than the current trading price as shares closed at $435 on Wednesday, up 1.38 percent on the day.
Wertheimer said in the note to investors that introduced their opinion on Tesla shares that the company has a lot going for it, including a prowess in AI, domination in its automotive division, and an incredible expertise in manufacturing and supply chain.
He wrote:
“We see Tesla shares as a must-own. The disruptive force of AI will wreck multitrillion-dollar industries, starting with auto. Under Musk’s leadership, the company is comfortable taking risks. It has manufacturing scale and supply chain expertise that robotics startups possess more by proxy. It can rapidly improve and scale autonomy in driving, the first major manifestation of AI in the physical world.”
However, there were some drawbacks to the stock, according to Wertheimer, including its valuation, which he believes is “challenging” given its fundamentals. He said the $1 trillion market cap that the company represented was “guesswork,” and not necessarily something that could be outlined on paper.
This has been discussed by other analysts in the past, too. Yale School of Management Senior Associate Dean Jeff Sonnenfeld recently called Tesla the “biggest meme stock we’ve ever seen,” by stating:
“This is the biggest meme stock we’ve ever seen. Even at its peak, Amazon was nowhere near this level. The PE on this, well above 200, is just crazy. When you’ve got stocks like Nvidia, the price-earnings ratio is around 25 or 30, and Apple is maybe 35 or 36, Microsoft around the same. I mean, this is way out of line to be at a 220 PE. It’s crazy, and they’ve, I think, put a little too much emphasis on the magic wand of Musk.”
Additionally, J.P. Morgan’s Ryan Brinkman said:
“Tesla shares continue to strike us as having become completely divorced from the fundamentals.”
Some analysts covering Tesla have said they believe the stock is traded on narrative and not necessarily fundamentals.
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