Tesla is one of the clearest cases where an average analyst price target can create false precision. In August, GLJ Research maintained a Sell rating with a target around $25. Other firms remained near $500. A consensus average somewhere between those numbers does not represent a shared view. It averages together fundamentally different definitions of the company.
One group values Tesla primarily as an automotive manufacturer with energy and software upside. Another assigns substantial present value to autonomous driving, robotaxis and robotics. Those are not minor adjustments to a spreadsheet. They are different businesses.
Autonomy creates the widest branch in the model
A conventional auto valuation is anchored by vehicle deliveries, margins, capital intensity and competitive pricing. Autonomy introduces a platform-style outcome in which software revenue could scale with much lower incremental costs.
The problem is timing and probability. Moving the assumed commercial launch by several years or changing the probability of regulatory approval can alter fair value dramatically. This is why small changes in narrative generate very large changes in Tesla targets.
The bear case is not simply lower deliveries
The most bearish targets generally assume that the optional businesses deserve little present value and that the core car operation should trade closer to traditional automotive economics. That produces a radically lower number even without assuming the company fails.
The bullish case does the opposite. It treats today's vehicle business as a funding base for software and autonomy with much larger potential margins. Investors should know which framework an analyst is using before comparing targets.
Dispersion is the signal
For Tesla, the range itself is more useful than the average. Wide dispersion tells investors that the market is not debating one variable. It is debating the probability distribution of several future businesses.
Until autonomy produces measurable economics, that dispersion is unlikely to disappear. The most informative analyst changes will be those that alter explicit assumptions about deployment, utilisation and margin, not those that simply move a target by $20.