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Tesla (TSLA) Q4 and FY 2023 earnings call: How analysts are reacting

Credit: Tesla Asia/X

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Tesla (NASDAQ:TSLA) took a steep dive on the heels of the company’s Q4 and FY 2023 earnings call, dropping over 9% as of writing. With the company stating that volume growth would be tempered this year due to its focus on the next-generation platform and executives being quite vague about its guidance for 2024, analysts, including some TSLA bulls, are not happy. 

Tesla actually had a record 2023, with vehicle sales growing nearly 40% year-over-year in 2023 to over 1.8 million units worldwide. Wall Street currently expects Tesla to post about 2.1 to 2.2 million vehicle sales for 2024, which would translate to a growth of about 20%. This number seems conservative and attainable enough, but Tesla simply maintained that its volume growth would be substantially lower than 2023’s ~40%. 

Wedbush analyst Dan Ives shared his sentiments about Tesla’s earnings call, in a post on X. Ives described the call, which provided some high-level long-term views on the company, as another “train wreck” conference call. Following the earnings call, Ives adjusted his price target for Tesla from $350 to $315 per share, though he also noted that Wedbush remains bullish on the company.

“We were dead wrong expecting Musk and team to step up like adults in the room on the call and give a strategic and financial overview of the ongoing price cuts, margin structure, and fluctuating demand. Instead, we got a high-level Tesla long-term view with another train wreck conference call,” Ives noted. 

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RBC analyst Tom Narayan also maintained his “Buy” rating on Tesla, though he lowered his price target from $300 to $297 per share. “We leave our delivery estimates unchanged after the vague guide, but lower our car gross margin expectations on less robust cost down opportunity,” he noted in a report. Narayan also pointed out that Tesla’s next-generation vehicle platform is still “many quarters away” from impacting the company’s numbers. 

Morgan Stanley’s Adam Jonas, for his part, pointed out that Tesla almost did not provide any guidance during the call. He also observed that there were no “AI rabbits” pulled out of Tesla’s hat during the call, which was highlighted by Musk’s conservative comments about Dojo. Despite this, Morgan Stanley opted to maintain its “Overweight” rating and $345 price target on Tesla, with a bear case PT of $100 and a bull case PT of $500 per share.  

While the sentiments surrounding Tesla’s Q4 and FY 2023 earnings call seem generally negative, some analysts opted to take a more optimistic stance on the company. Canaccord lowered its price target for Tesla from $267 to $234 per share, though the firm also noted that it is time for investors to be patient about the company. The firm noted that it remains bullish about Tesla’s long-term prospects. 

“It’s time to be patient. The next-generation vehicle, FSD upgrades, margin improvement, and Optimus will likely bring an acceleration in revenue growth. But not this year — 2024 will be subdued; probably a trough, but still relatively slow (we model ~18% y\y revenue growth). Growth curves are seldom smooth, and Tesla is no different. 

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“We are still quite bullish on Tesla’s long-term growth prospects. We think EVs will replace ICE vehicles despite recent countervailing narratives. We see vehicle autonomy as one of the highest value-creating technologies to be deployed. Ever. And Tesla, with its razor/ razorblade approach, is a leader in this real-world AI. We think Tesla is Apple on steroids as it focuses on manufacturing and a higher level of vertical integration. Tesla is THE sustainability behemoth, in our opinion,” the firm noted. 

Longtime Tesla bull Gene Munster of Deepwater Asset Management also pointed out that Tesla’s auto gross margins for the past quarter ended a streak of dropping margins. “The critical metric, auto gross margins ex credits, came in at 17%, compared to the Street at 17.3%. I was expecting 16.7%. While this missed the Street, it marks the end of four consecutive quarters of margin decline, up from 16.3% in the Sep-23. Over, this is a positive,” Munster wrote on X. 

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

 

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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