Investor's Corner
Tesla streamlined Model 3 battery pack production time by 96%, says Elon Musk
Tesla CEO Elon Musk stated during Wednesday’s Q1 2018 earnings call that the company has managed to reduce the time it takes to produce a Model 3 battery pack by 94%, from 7 hours to under 17 minutes. According to Musk, addressing the over-generalization of the Model 3’s design, as well as the excessive automation in Gigafactory, proved beneficial to the improvement in the manufacturing rate of the car’s battery packs.
“This still remains to be fixed, but in any case, overgeneralizing the design. For example, the current battery pack has a port for front drive units, which we then put a steel blanking plate on. So essentially, we punched a hole in it and put a blanking plate at the hole. And (we had to) do that for all rear drive unit cars, which is kinda crazy.
“It would have added cost, it would have added a manufacturing step, it would have added a failure mode; and four ports was unnecessary… That’s changed. So, the result was we had a rapid improvement in battery pack production, from taking 7 hrs to make a pack 3 weeks ago to under 17 minutes now. We’re able to also achieve a sustained rate of 3,000 vehicles a week, so we’re actually slightly ahead in battery module and pack production than expected.”
With the optimizations to the line in place, Musk revealed that Tesla is now producing 3,000 battery packs per week at the Nevada Gigafactory, with peak hours of production hitting a rate of 5,000 per week.
“In the last 24 hours at the Gigafactory, we managed to keep a sustained rate of over 3,000 packs per week. We actually reached a peak hour, extrapolated outward would be a rate of over 5,000 cars per week… Every hour is as good as its peak. If you can achieve it even once in an hour, then with continued refinement of the system, and improved operational time of the machinery, you can achieve that sustained rate with more refinement.”
Musk reiterated his previous statement about the company automating too much of its production line. According to Musk, Tesla “went too far and automated some pretty silly things,” including an incredibly complex “fluff machine” that ended up making production complicated.
“One of the things we’ve found is that there are some things that are very well suited to manual operations, and there are some things are very well suited to automated operations. The two should not be confused. We did go too far in the automation front, and automated some pretty silly things.
“One example would be, we have these fiberglass mats on top of the battery pack. They’re basically fluff. We tried to automate the placement and bonding of fluff to the top of the battery pack, which was ridiculous. ‘Flufferbot,’ which was really an incredibly difficult machine to make work. Machines are not good at picking up pieces of fluff. Hands are way better at doing that.
“So we had this super-complicated machine, using a vision system to try and put a piece of fluff on a battery pack. The line kept breaking down because Flufferbot would frequently fail to pick up the fluff, or put it in a random location. So, that was one of the silliest things we’ve found.”
The revelations about the improvements in the pace of Model 3 battery pack production are in line with Elon Musk’s recent statements about relying too much on automation. Musk mentioned this in an interview with Gayle King of CBS This Morning, and later in a tweet, where he coyly stated that humans are “underrated.”
Nevertheless, Tesla pointed to strategic automation as key in its Q1 Update Letter. The company, for one, credits the quality improvements in the Model 3 line to the automation that is involved in manufacturing the vehicles. Tesla expects the Model 3 line to be optimized once more after a planned 10-day shutdown in production during the second quarter. With a hiring ramp underway, Tesla is aiming to adjust overtime hours and staffing levels to meet its production goals even further.
Tesla’s first-quarter earnings for 2018 saw the electric car maker posting $3.4 billion in revenue and beating earnings estimates with a loss of $568 million. Losses per share was listed at -$3.35 per share, lower than Wall Street estimates of -$3.58 per share.
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 massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.
This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.
Tesla Q2 2026 Earnings Results
- Non-GAAP EPS – $0.33 reported vs. $0.53 expected
- Revenues – $28.236 billion reported vs. $26.4 billion expected
- Free Cash Flow- -$1.092B
- Profit -$ 4.751B
Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.
Tesla shares closed today down just over 1 percent, trading at $374.01.
In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.
Tesla will hold its Q2 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.
Q2 2026 Earnings Call https://t.co/zZS6ii2TWK
— Tesla (@Tesla) July 22, 2026
Tesla (NASDAQ: TSLA) will report its earnings for the second quarter of 2026 this evening after market close, and investors and analysts are waiting anxiously to see what the company will report for the second three-month span of the year.
Analysts have already put out their expectations from a financial standpoint for the company’s second quarter, but what’s unknown is what Tesla plans to discuss during the call.
Financial Expectations
Wall Street consensus expectations put Tesla’s Earnings Per Share (EPS) at $0.53, while revenues are expected to come in around $26.4 billion.
This would compare to an EPS of $0.39 and $22.19 billion compared to Tesla’s Q2 2025. Last quarter, EPS came in at $0.41 on $22.387 billion of revenue. Additionally in Q1, Tesla beat analyst expectations, but shares dropped over 3 percent the following trading day.
What We Expect
In terms of discussions, Tesla earnings are pretty sporadic and depend on a handful of things, including current events, investor questions, and more.
Tesla uses a platform called Say to field questions from investors and analysts. These questions are what will be used during the call. Here are the top 5 from the Retail side and top 3 from the Institutional side:
Retail:
“Tesla has missed short-term guidance on robotaxi 3 earnings reports in a row, from 50% coverage of USA by end of 2025 to most recently 7 new cities in 1H26. What is keeping Tesla back from accomplishing these short term goals that they’ve set for themselves?”
“What are the main constraints to expanding robotaxi operations faster, and how do you see that lining up with Cybercab production?”
“What’s the current status of Optimus Gen 3 production ramp, initial deployment in factories, and external sales timeline/volume for 2027? What tasks can we expect the Optimus to perform by end of 2027?”
“To reward long-term Tesla retail shareholders for their loyalty, can you commit to achieving at least half of the goals outlined in your 2025 compensation plan before considering any offers to acquire or merge Tesla?”
“Why has growth of robotaxi vehicles stalled? When will we see cybercab start customer rides?”
Institutional
“Previously, you’ve said Tesla would lead the R&D while SpaceX would lead production for Terafab. Can you provide an update on how that division of responsibilities is evolving, and any additional clarity on the expected capital contributions from Tesla and SpaceX?”
“For autonomous driving, Tesla’s fleet created a huge data advantage by collecting billions of real-world miles. That advantage doesn’t yet exist for Optimus. How should we think about data availability and its impact on Optimus development?”
“Why is it necessary to limit robotaxi operations within specific zones within cities to start? Will every city have to be rolled out this way?”
Tesla will report earnings for Q2 this evening with the Shareholder Deck at 4 p.m. ET, with the call starting around 5:30 p.m. ET.
Elon Musk
Elon Musk handed Grok something no other AI company can get their hands on
Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.
Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.
SpaceX’s massive corpus of world-class engineering data (excluding material blocked by ITAR) will be added during supplemental training of the 2T run.
This will dramatically improve Grok’s engineering capabilities. https://t.co/BbQEViFByn
— Elon Musk (@elonmusk) July 21, 2026
The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.
The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.
Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.
Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.
Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla is about to make parking in busy lots less stressful than ever
