DCF Intrinsic Value

Discounted cash flow analysis estimates the intrinsic value of a business by projecting its future free cash flows and discounting them to present value at an appropriate rate. It is the most theoretically rigorous valuation method.

The core principle is that any asset is worth the sum of all future cash flows it will generate, adjusted for the time value of money and risk. A dollar received ten years from now is worth less than a dollar today, both because of inflation and because of uncertainty.

DCF models are highly sensitive to assumptions about growth rates, discount rates, and terminal values. Small changes in these inputs can dramatically alter the output. This is both DCF's greatest strength (it forces explicit assumptions) and its greatest weakness (garbage in, garbage out).

When the DCF intrinsic value exceeds the current market price, the stock is potentially undervalued. The gap between DCF value and price defines the margin of safety.

Buffett and Munger use DCF thinking as their primary valuation framework, though they reportedly do not build formal spreadsheet models. The discipline of thinking about future cash flows and appropriate discount rates is the value, not the precision of the number.

Sensitivity analysis is essential. Run the DCF at multiple growth and discount rate assumptions to see how the intrinsic value range changes. If the stock is cheap across most reasonable scenarios, the investment case is robust.

Related metrics: Price-to-Earnings Ratio TTM (P/E). (Updated 2026)

DCF works best for businesses with predictable, recurring cash flows - utilities, consumer staples, subscription software, toll roads. The more predictable the cash flows, the more reliable the DCF output.

For cyclical businesses, use mid-cycle or normalized FCF rather than the most recent year. A mining company at peak FCF will produce an inflated DCF value.

Early-stage companies with no positive FCF require revenue-based DCF variants or scenario-weighted models, which introduce additional uncertainty.