The VC Valuation Method Explained (With a Worked Example)

Ask a seed investor how they arrived at their number and you'll rarely hear a discounted cash flow model. Pre-revenue companies don't have cash flows worth discounting. What they actually run, more often than founders realise, is a calculation that starts at the exit and works backwards to today: the VC valuation method.

This guide walks through exactly how that calculation works, where the required return multiples actually come from, and where the textbook version of the formula quietly understates how much of your company you're giving away. There's a worked example with real numbers, current stage-by-stage benchmarks, and the common mistakes founders make when they try to reverse-engineer an investor's offer.

Where the VC method comes from

The method was formalised by Bill Sahlman, a professor at Harvard Business School, in a 1987 background note co-authored with Daniel Scherlis, titled 'A Method for Valuing High-Risk, Long-Term Investments.' Nearly four decades on, it's still taught in venture finance courses and still shows up, in slightly simplified form, whenever an early-stage investor explains how they got to a number. The appeal is practical rather than elegant: it needs almost no financial history, just an exit assumption and a target return, which is exactly the situation most pre-revenue founders are in.

The formula, stated plainly

Strip away the jargon and the VC method is two divisions and a subtraction. You need an anticipated exit value, a required return multiple, and the size of the cheque being raised.

The required ROI is doing almost all the work here, and it isn't arbitrary. It reflects how much risk the investor is taking on at this particular stage: how likely the company is to fail outright, get acquired for scraps, or actually reach the exit value being modelled. Move the stage, and the multiple moves with it.

Why the required multiple falls so sharply by stage

A seed investor is betting on a team and a slide deck. Most of those bets return nothing at all, so the ones that do work need to return enough to cover the ones that don't, a dynamic venture investors sometimes describe openly. Fred Wilson, co-founder of Union Square Ventures, has written on his AVC blog about targeting what he calls a '1/3, 1/3, 1/3' batting average across a portfolio: roughly a third of investments lose everything, a third return close to the original cheque, and a third have to generate the bulk of the fund's return on their own. That last third is where the eye-watering seed-stage multiples come from. They're not greed; they're arithmetic covering for the other two-thirds.

By the time a company reaches Series A, it has a product, some customers, and a track record that makes total failure meaningfully less likely, so the required multiple drops. Growth and late-stage investors are writing much larger cheques into companies that are already generating real revenue, so they can accept a far lower multiple and still hit their fund's overall target.

Don't read that seed-stage figure as a personal insult to your pitch. It's a per-deal target that assumes most seed investments in the same fund will fail, not a claim that your specific company needs to grow 100-fold to be worth backing. Individual deal targets and a fund's overall return goal (usually a portfolio-wide 3x or so) are two different numbers answering two different questions, and mixing them up is one of the most common ways founders misread a term sheet's implied logic.

A worked example

Say a pre-revenue startup is raising a $2,000,000 seed round. Comparable exits in the sector, several years out, suggest a realistic acquisition value of around $150,000,000. A seed investor pricing this deal wants roughly a 15x return on this specific investment to make the risk worthwhile.

Change either input and the valuation moves fast. Push the required multiple up to 25x, reflecting an earlier, riskier stage, and post-money drops to $6,000,000; pre-money falls to $4,000,000 and the same $2,000,000 cheque now buys a third of the company instead of a fifth. This is exactly why two investors looking at the same pitch, with the same exit assumption, can land on very different offers: they disagree on risk, not on arithmetic.

The step the textbook version leaves out: dilution

The formula above gives you today's ownership percentage, not the percentage that investor will actually hold at exit. Between now and that $150,000,000 sale, the company will almost certainly raise more rounds, and each one dilutes every existing shareholder, including this seed investor. A sophisticated VC method calculation builds in an assumption for that future dilution before settling on a multiple, rather than pricing the deal as if today's stake survives untouched for five to eight years.

In practice, this is one reason experienced investors lean towards the higher end of a stage's typical range: the raw formula, taken literally, understates how much return they actually need once future rounds are accounted for. If you're modelling a term sheet from the founder's side, run the resulting ownership split through a dilution calculator with a couple of hypothetical future rounds layered in. It's the fastest way to see whether an investor's headline percentage still looks reasonable once two more rounds have passed through the cap table.

How this compares to other valuation approaches

The VC method sits alongside a handful of other startup valuation methods, and most experienced investors use more than one to triangulate rather than relying on any single formula. Comparables benchmark your round against recent deals of similar size, sector and stage: useful when enough comparable data exists, thin when it doesn't. The scorecard and Berkus methods build a valuation up from qualitative factors like team strength and market size, which suits very early, pre-product companies where even an exit estimate feels speculative. A discounted cash flow model, by contrast, needs real projected cash flows to discount, which makes it far more useful once a company has meaningful, dependable revenue than at the pre-revenue stage the VC method was built for.

None of these replace the others outright. A seed investor might use the VC method to sanity-check a number that comparables data alone can't produce, then adjust it against the scorecard factors that make this particular team and market look stronger or weaker than the average comparable deal.

Why exit assumptions matter more than the multiple

Founders spend a lot of energy arguing about the required multiple and comparatively little scrutinising the exit value it's being applied to, which is the wrong way round, since a wildly optimistic exit assumption inflates the valuation just as much as a lenient multiple would. The exit environment has shifted meaningfully in the past year: the PitchBook-NVCA Venture Monitor's 2025 data shows public listings generating $119.4 billion in exit value from just 62 IPOs, alongside $112.7 billion across 995 acquisitions, with AI-related deals now accounting for 65.6% of all venture deal value, up from 47.2% in 2024. A sector riding that wave can reasonably point to higher comparable exits; one that isn't should be more conservative about the number it plugs into the formula, whatever multiple the investor is asking for.

Common mistakes when applying the VC method

• Using an aspirational exit value instead of one grounded in comparable recent deals in the same sector and geography.
• Applying a fund-level target return (often around 3x overall) to a single deal, when individual seed and Series A investments need to aim much higher to compensate for portfolio failures.
• Ignoring future dilution, which overstates the ownership percentage an investor will actually hold by the time the exit happens.
• Treating the VC method's output as a fixed answer rather than one input among several, alongside comparables and qualitative scoring.
• Confusing the resulting pre-money and post-money figures with a 409A valuation, which is an entirely separate appraisal used only to price employee stock options.

Using the VC method on your own round

The formula itself takes thirty seconds to run once you have an exit assumption and a target multiple. The harder, more valuable work is stress-testing those two inputs: pressure-testing the exit value against genuinely comparable deals rather than the best case you've imagined, and understanding which stage-appropriate multiple range an investor is likely to be working from before you sit down at the table. Once you have a first-pass valuation, model what your stake actually looks like a couple of rounds later, not just today, using Foundily's dilution calculator and cap table tool, so the percentage you're negotiating over today still makes sense once the pre-money and post-money numbers from your next raise are added to the table.