Research note · Valuation · July 30, 2026
A price target is a disguised model.
“The stock can go to $X” sounds like a conclusion. It is really a compressed set of assumptions about revenue, margin, reinvestment, the discount rate, and how long the market will believe the good part lasts. The most useful valuation exercise is often to run the conversation backward: what does today’s price require?
Figure 1 · Reverse the question
Instead of projecting a price from assumptions, solve for the assumptions embedded in the price.
A reverse DCF is not more “objective” than a forward DCF. It is just more explicit about what must happen for a price to make sense.
Why this is more honest than a single target
A target price can hide the assumptions that carry it. A reverse DCF makes them front-page material. If a valuation requires a company to hold an unusually high margin for ten years, that may be possible; it is no longer a vague feeling. It is a claim with a time horizon and a countercase.
| Assumption | The question it forces |
|---|---|
| Revenue growth | Who loses share, or where does new demand come from? |
| Operating margin | What prevents competition or input costs from taking it away? |
| Reinvestment | How much capital is needed to keep growing? |
| Terminal value | How much of the valuation sits beyond the forecast window? |
| Discount rate | What risks are being treated as ordinary rather than exceptional? |
My rule: make the countercase do the math too
A valuation model is not a prediction machine. It is a way to test whether the story and the numbers are compatible. I want a base case, a bull case, and a case where growth slows or margins disappoint—not because pessimism is smarter, but because a single path is not analysis.
ToolBuild the assumption set yourself
The AEA Reverse DCF does not invent a company’s fundamentals. It asks the reader to enter sourced inputs, then makes the implied assumptions visible. That limitation is intentional.