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Tesla Targets Sub-$35k Model 3 with New Vehicle Platform Strategy

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Image credit: Bram Van Oost

Tesla's push to lower production costs could bring significant price reductions for its electric vehicles, according to a recent announcement and analyst estimates.

Tesla's Cost-Cutting Measures:

  • Tesla revealed plans for a new vehicle platform designed to significantly reduce the cost of goods sold (COGS) per vehicle.
  • This next-generation platform will be combined with elements from existing platforms to create new, more affordable models.

Potential Price Drop for Model 3:

  • Analysts estimate that a $5-$7.5k reduction in COGS could translate to a Model 3 starting price below $35,000 in the US market.
  • This would be a considerable drop from the current starting price of around $39,000.

Global Market Impact:

  • The cost reductions could also lead to a Model 3 starting price under $30,000 in China, where Tesla already faces stiff competition.
  • A more affordable Model 3 could potentially boost sales and market share for Tesla globally.

Uncertainties Remain:

  • The timeline for implementing the new platform and launching the lower-priced Model 3 is unclear.
  • The effectiveness of Tesla's cost-cutting measures and their impact on vehicle quality and features remain to be seen.

Bullish Outlook for Tesla's Future:

  • If successful, this strategy could make Tesla's electric vehicles more accessible to a wider range of consumers, potentially accelerating electric vehicle adoption.
  • Increased affordability could solidify Tesla's position as a leader in the electric vehicle market.

Remember: This blog post summarizes the news and analyst predictions. The actual price reduction and its impact on the market will depend on Tesla's execution.

FMP Standard Deviation API: Measure Stock Volatility

While cost reductions might improve Tesla's profitability, the stock market can be volatile. The FMP Standard Deviation API can help you quantify this volatility and make informed investment decisions.

Learn more: link to FMP Standard Deviation API documentation.

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