Today on the show we discuss our Tesla Valuation model and how we came to our 2026 price target for a Tesla share. (Read the full valuation blog here: [ Ссылка ]) You will hear from three analysts on how they constructed the valuation, their methodology, and what they project for 2026. Tasha Keeney shares her thoughts on why electric is the future of autonomous technology, Will Summerlin unpacks the potential opportunities for AI within foundational models, and Sam Korus explains why batteries are the single biggest cost component in Tesla’s vehicles. We also cover the results of the Monte Carlo analysis, with an overview of how it functions, and delve into the five key inputs that are the main drivers of this model. Today’s conversation offers insights into our dynamic valuation model!
Key Points from this Episode
- Introducing our latest Tesla Valuation model and 2026 price target.
- An overview of our top-down and bottom-up research methodology.
- A breakdown of Wright’s law and why it applies to battery production.
- The potential opportunities for AI within foundational models.
- Our views on why the future of autonomous driving cars is electric.
- How autonomous driving cars are expected to lower the cost of driving.
- The Monte Carlo analysis and the role it’s played in this valuation’s methodology.
- The five key inputs that are the main drivers of this model.
- How to access the valuation model on Github.
- Why the launch year and time of adoption is the single biggest driver for this model.
- Information on how to reach out to us for questions and queries on our model.
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