DCF & the VC Method for Private Companies
Where the market approach asks what others would pay, the income approach asks what the business is worth on its own cash flows. For private companies that means three tools: the DCF, its scenario-weighted cousin, and the reverse-engineered method the venture industry actually runs on.
The income approach rests on one idea: a company is worth the present value of the cash it will generate. It is conceptually the purest way to value a business, and, for young companies, the hardest to apply, because the cash flows it depends on are exactly what is most uncertain. This article walks the three income-based tools from the textbook DCF to the pragmatic venture capital method.
Discounted cash flow (DCF)
A DCF projects a company’s future free cash flows, discounts each back to today at a risk-adjusted rate, and adds a terminal value for everything beyond the explicit forecast. The discount rate, typically the weighted average cost of capital (WACC), encodes the riskiness of those cash flows.
For mature companies this is the standard. For startups, two problems bite hard. First, the cash-flow forecast is largely guesswork in the early years. Second, the discount rate for an illiquid, high-failure-risk venture is genuinely hard to pin down. Because growth-company DCFs are extremely sensitive to both inputs, small changes in assumptions swing the answer enormously, which is why, in venture, the DCF is usually a sanity check rather than the primary method.
Higher rates, lower value, the same mechanism that moves multiples. A rise in the discount rate compresses a DCF just as it compresses a market multiple. The income and market approaches are two windows onto the same economics. See Multiples Through the Cycle.
The First Chicago method
The First Chicago method tackles the forecasting problem head-on by refusing to bet on a single future. Instead of one projection, it builds three, a downside, a base and an upside scenario, values each, and weights them by probability to produce an expected value. It typically anchors on an exit point and target valuation rather than projecting cash flows to infinity.
This explicit treatment of uncertainty fits the IPEV preference for scenario-based methods where outcomes are highly dispersed. DealMatrix’s engine implements it directly, see the First Chicago method in the Valuation Engine.
The venture capital method
The venture capital method is the hybrid the industry actually uses, and it runs the logic backwards. Rather than forecasting cash flows, it starts from the expected exit value and discounts it to today at the investor’s target return.
The exit value is usually estimated by applying an exit multiple to a future metric, which is why the method is a hybrid: it borrows the market approach for the exit and the income approach for the discounting.
| Step | Input | Value |
|---|---|---|
| Exit revenue (year 5) | Forecast | €50m |
| Exit multiple | Applied at exit | 4.0× |
| Expected exit value | 50 × 4.0 | €200m |
| Target return | per year | 40% |
| Post-money value today | 200 ÷ 1.40⁵ | ≈ €37m |
That post-money figure then determines the investor’s ownership stake. The method’s strength is that it embeds the investor’s actual return requirement; its weakness is that it assumes a single, constant discount rate even though a company’s risk falls as it matures. Full mechanics live in the VC Method in the Valuation Engine.
When cap structures get complex
When a company has many share classes with different rights, even a good enterprise value does not tell you what each stake is worth. Here the income approach extends into probability-weighted expected-return models (PWERM), which value each class across multiple exit scenarios, and option-pricing models, which treat preferred shares and preferences as contingent claims. These reflect the asymmetric payoff profile of venture investing, many investments return little, a few return enormously. We pick up the share-class mechanics in Liquidation Preferences & the Cap-Table Waterfall.
The honest role of the income approach. In private markets these methods rarely produce the number on their own. Their value is in structuring expectations and stress-testing a market-based valuation, not replacing it.
Run the VC & First Chicago methods, properly.
The DealMatrix Startup Valuation Engine builds these methods on real exit multiples and stage-specific return assumptions, no spreadsheet archaeology required.
Sources & further reading
- Sahlman, W. A. (1987). A Method for Valuing High-Risk, Long-Term Investments. Harvard Business School.
- Damodaran, A. (2009). Valuing Young, Start-up and Growth Companies.
- IPEV (2025). International Private Equity and Venture Capital Valuation Guidelines.
- DealMatrix (2026). Startup Valuation Engine, VC & First Chicago methods.