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When comparable exits are scarce, a startup does not have one objectively correct valuation. The defensible approach is to build a range from several clearly labeled assumptions, then negotiate the financing price and the rest of the deal terms. For an early or pre-revenue company, make progress and risk reduction visible with a scorecard and Berkus-style analysis; use venture-capital scenarios to test return logic; and treat DCF as sensitivity analysis rather than a precise answer.
Your conclusion should state the company’s stage, sector, geography, financing date, traction, security, pre-money value, post-money value, dilution and the evidence that would move the range. That is more useful than presenting a single number unsupported by similar transactions.
Start by defining what you are valuing
The word valuation can describe several different numbers. Write down the object before selecting a method:
- Financing valuation: the price at which new shares or another security are issued.
- Equity value: the value attributable to shareholders after considering the company’s capital structure.
- Enterprise value: an operating-business value before adjusting for cash, debt and other financing items.
- Pre-money valuation: the agreed value immediately before the new investment.
- Post-money valuation: pre-money valuation plus the investment, subject to the exact security and transaction terms.
For a simple priced equity round, an investor’s headline ownership is calculated as investment ÷ post-money valuation. A $2 million investment at an $8 million pre-money valuation produces a $10 million post-money valuation and 20% ownership before any other cap-table effects. Options created or expanded in the round, existing convertible securities, liquidation preferences and other rights can change the economic result, so the percentage must be checked against the actual capitalization table and documents.
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Why scarce exits create false precision
Comparable exits are useful only when the transactions are genuinely comparable. A disclosed acquisition of a profitable company is not an interchangeable benchmark for a pre-revenue company raising a convertible note. Even two deals in the same sector may differ materially in stage, geography, date, growth, capital intensity, security, liquidation preference, participation rights, earn-outs and investor control.
Scarcity also creates selection bias. Publicly discussed exits tend to be unusually successful, while many private transactions disclose no price. Older deals may reflect a different interest-rate environment, funding cycle or risk appetite. If only one or two observations exist, reporting a single multiple can make an uncertain judgment look measured.
The Swiss Angel Investor Handbook, Chapter 11, states: There is no fail-proof method for setting a ‘correct’ valuation for a pre-revenue startup, which often has yet to build a product that can be sold.
It also says that pre-revenue methods should be viewed as rules of thumb. That does not make valuation arbitrary; it means the assumptions, evidence and negotiation must be shown instead of hidden behind a formula.
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| Method | Useful role when exits are scarce | Main caution |
|---|---|---|
| Scorecard / Bill Payne | Begins with a credible peer valuation and adjusts for management, product, market, channels, stage and other factors. | Needs a defensible peer group and judgment-based weights; a weak starting benchmark produces a weak result. |
| Berkus | Makes progress and risk reduction explicit for early, often pre-revenue companies. | Illustrative amounts are not universal market rates; adapt them to business type, geography and current conditions. |
| Venture-capital method | Works backward from a future outcome, timing and investor return requirement. | Highly sensitive to assumed exit value, timing, return hurdle and future dilution. |
| Comparable transactions | Anchors discussion in actual investments or exits when the sample is sufficiently similar. | Scarce, stale, undisclosed or structurally different deals can create false precision. |
| DCF | Shows how forecast cash flows and discount assumptions affect an implied value. | Long-range cash-flow estimates are unreliable for young companies without substantial revenue. |
| Valuation deferral | Postpones a price until the company has more evidence, using a later-round pricing mechanism. | Discounts, caps, conversion mechanics and legal treatment vary by instrument and jurisdiction. |
Use at least two lenses that fail in different ways. For example, a scorecard can expose relative strengths and weaknesses, while a Berkus-style matrix can show which technical, market or execution risks have actually been reduced. A venture-capital scenario can then test whether the proposed price is compatible with an investor’s return expectations.
A practical workflow for a defensible valuation range
1. Record the company and transaction context
Create a one-page valuation brief containing:
- company stage, revenue status and meaningful traction;
- sector, business model and capital intensity;
- principal operating geography and currency;
- valuation date and financing date;
- round size, security type and proposed use of funds;
- fully diluted capitalization, including options, warrants, notes and other convertibles;
- investor rights, liquidation preferences, anti-dilution provisions and governance terms.
A valuation from an earlier funding cycle should not be presented as a current market observation without explaining the date and changed conditions.
2. Separate pre-money, post-money and dilution
For a priced round, show the arithmetic explicitly:
- Set the proposed pre-money valuation.
- Add the new cash investment to obtain post-money valuation.
- Divide the investment by post-money valuation to calculate the headline new-investor percentage.
- Recalculate ownership on a fully diluted basis after any option-pool increase and conversion of outstanding securities.
- Model the ownership after later rounds, because the first-round percentage is not the investor’s eventual percentage.
Do not describe a post-money figure as if it were the company’s pre-financing value. A founder who hears $8 million pre-money and an investor who hears $8 million post-money are discussing different prices and different dilution.
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3. Build a comparable set only after fixing the definition
For every potential peer, record the source, date, stage, sector, geography, revenue or traction, round or exit type, instrument, security rights and whether the number is pre-money, post-money, enterprise value or equity value. Exclude observations that cannot be normalized or label them separately rather than averaging them together.
If the set contains only a few observations, use it as a directional anchor. State which differences make the startup stronger or weaker than each peer and what evidence would justify moving toward the high or low end.
4. Apply a scorecard when a credible peer benchmark exists
The Bill Payne variation described by the Swiss Angel Investor Handbook adjusts an average valuation for comparable startups using weighted relative factors. Its example weights are:
| Factor | Example weight | Questions to document |
|---|---|---|
| Management | 30% | Can the team execute, recruit and learn in this market? |
| Product or service | 10% | Is the solution differentiated, usable and technically credible? |
| Market size | 25% | Is the addressable market large and reachable? |
| Sales channels | 10% | Are acquisition, distribution and conversion paths proven? |
| Business stage | 10% | What evidence exists beyond the concept, prototype or early revenue? |
| Other factors | 15% | Regulation, competition, partnerships, financing risk or other material issues. |
These percentages are an example, not a universal rule. Agree on the weights before scoring the company, define a neutral peer score of 1.0, and document the evidence behind every relative score.
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5. Add a Berkus-style risk-reduction matrix for pre-revenue companies
Dave Berkus’s November 21, 2024 explanation describes five progress elements: a sound idea, a prototype, a quality management team, strategic relationships, and product rollout or sales. The purpose is to assign value to milestones that reduce specific risks before reliable revenue exists.
The article describes up to $500,000 per listed element as illustrative maximums and says amounts may be adjusted for geography and business type. Do not treat those figures as a current valuation tariff. A company serving a regulated market, a capital-intensive industry or a different geography may require different risk categories and amounts.
Build the matrix around evidence:
- Idea risk: customer problem, urgency, willingness to pay and competitive alternatives.
- Technology or product risk: prototype performance, reliability, security, intellectual property and integration work.
- Team risk: relevant capability, commitment, hiring gaps and ability to deliver the next milestones.
- Market-access risk: pilots, channel agreements, strategic relationships and procurement requirements.
- Commercial risk: rollout, repeat usage, signed orders, pricing evidence and sales execution.
Mark each element as unaddressed, partially addressed or demonstrated, then explain the evidence and the remaining uncertainty. Berkus’s 2024 article includes the practitioner claim that less than one in a thousand startups meet or exceed projected revenues in the periods planned. Attribute that statement to him; it is not an independently validated population statistic. The practical implication is to discount unsupported revenue forecasts and reward verified risk reduction instead.
6. Use venture-capital scenarios to test return logic
The venture-capital method starts with an assumed future outcome and works backward. List the exit value, exit date, investor ownership at exit, required return and dilution from intervening rounds. Run at least three scenarios rather than one prediction.
| Scenario | Exit assumption | Investor ownership at exit | Investor proceeds | What it tests |
|---|---|---|---|---|
| Downside | Lower exit value or later timing | Lower after dilution | Exit value × ownership | Whether the investment can still return meaningful capital. |
| Base | Central operating and market assumptions | Expected post-round ownership | Exit value × ownership | Whether the proposed entry price fits the target return. |
| Upside | Strong execution and favorable market | Still reduced by later financing | Exit value × ownership | Whether upside is sufficient to compensate for failure risk. |
For each case, show the calculation in a cap-table model. If an investor puts in $2 million, owns 20% immediately and is diluted to 10% by later rounds, a $100 million exit would produce $10 million of gross proceeds before preferences, taxes and fees. That is a five-times gross multiple on the original investment, but the timing and probability of that outcome determine whether it meets the investor’s actual hurdle. The scenario is an assumption set, not a forecast.
Vary the exit value, years to exit, later-round dilution, liquidation preferences and probability of success independently. A valuation that works only under an aggressive exit in three years is materially different from one that works under a moderate exit in seven years.
7. Treat DCF as a sensitivity exercise
Discounted cash flow can be useful for showing how assumptions drive an implied value, but the handbook cautions against relying on it for young startups without substantial revenue. Small changes to distant revenue, margins, terminal value or discount rate can overwhelm the result.
If you include DCF, present a sensitivity table rather than a single point estimate. Change the key forecast and discount assumptions across a reasonable range, identify which variables dominate the result, and explain why those variables are not yet observable. Use the output to challenge a plan or compare scenarios, not to claim that the company is worth the exact calculated amount.
8. Reconcile the methods into a range
Place the outputs side by side and identify the overlap. A range is more credible when each endpoint has a reason:
- The lower end may reflect limited evidence, high technical or regulatory risk, weak channels, greater dilution or conservative exit assumptions.
- The upper end may require verified traction, a strong team, scarce strategic access, a large reachable market or favorable terms that reduce investor risk.
- The midpoint should not be an average chosen merely for convenience; explain which evidence makes it more likely than either endpoint.
Then list the observations that would move the range: a signed enterprise contract, repeat retention data, regulatory approval, a completed prototype, a key hire, a failed pilot or a financing market change. This turns valuation into an updating process rather than a one-time argument.
Look beyond the headline valuation
Two rounds with the same pre-money valuation can have very different economics. Compare:
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- option-pool size and who bears the dilution;
- liquidation preference, participation and seniority;
- conversion rights, valuation caps and discounts on notes or other convertible instruments;
- anti-dilution protection and pro-rata rights;
- board seats, veto rights, information rights and protective provisions;
- milestone tranches, redemption rights, founder vesting and transfer restrictions;
- fees, warrants and other instruments that affect proceeds.
The handbook notes that terms other than valuation influence expected returns. Present the complete capitalization table and a waterfall showing who receives what under several exit values. Negotiating a lower headline valuation with investor-friendly preferences may be more expensive than accepting a higher valuation with cleaner terms.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When to defer valuation
If the company cannot support a price and investors disagree about the evidence, deferring valuation can postpone the argument until a later financing provides more information. A convertible note or similar instrument may convert at a later round, sometimes with a discount or other negotiated mechanics.
Deferral is not free money. The eventual conversion price, valuation cap, discount, interest, maturity, investor rights and interaction with future securities can create substantial dilution. The legal and tax treatment depends on the jurisdiction and instrument. Model several future financing outcomes and obtain transaction-specific legal advice before signing.
Common failure modes and how to correct them
Using one famous exit as the benchmark
Problem: the deal may differ in stage, geography, timing, security or performance. Correction: normalize the context, show the differences and use the transaction only as a directional reference.
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Problem: the illustrative maximums are mistaken for current market prices. Correction: tailor elements and amounts to the company, geography, business type and date, and attach evidence to each milestone.
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Calling a forecast a valuation
Problem: a five-year revenue target is treated as if it were achieved cash flow. Correction: label forecasts as assumptions, use downside/base/upside cases and discount for execution and dilution risk.
Ignoring the option pool and convertibles
Problem: the negotiated percentage does not match the fully diluted cap table. Correction: calculate ownership before and after the pool increase and each note or other security conversion.
Mixing pre-money and post-money numbers
Problem: founders and investors believe they agreed on the same price when they did not. Correction: state the basis beside every number and show the investment, post-money value and resulting ownership.
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Problem: a spreadsheet’s precision hides unreliable distant assumptions. Correction: publish sensitivity ranges and identify which assumptions drive most of the value.
Negotiating valuation without negotiating terms
Problem: a high headline value masks preferences or controls that reduce founder proceeds. Correction: compare complete term sheets through cap-table and exit-waterfall scenarios.
What a valuation memo should contain
A short memo makes the discussion auditable and easier to update. Include:
- the purpose of the valuation and whether figures are pre-money, post-money, enterprise or equity value;
- company stage, sector, geography, currency, valuation date and financing date;
- fully diluted capitalization and all securities that can change ownership;
- the comparable set, with source, date, definitions and reasons for inclusion or exclusion;
- scorecard factors, weights, scores and evidence;
- Berkus-style risk-reduction elements and the tailored amounts or qualitative grades;
- venture-capital scenarios with exit value, timing, dilution, ownership and return calculations;
- any DCF sensitivity analysis and the assumptions that dominate it;
- the resulting range, the proposed negotiation point and the evidence that would move it;
- non-price terms and a list of unresolved legal or tax questions.
Keep historical versions. When new traction or a new financing arrives, you can see which assumption changed instead of rewriting the story around the latest number.
Bottom line
Scarce comparable exits do not prevent a disciplined startup valuation; they prevent a claim that one number is objectively correct. Define the transaction, separate pre-money from post-money, use comparable data only when it is genuinely comparable, make early-stage risk reduction visible with scorecard and Berkus-style analyses, test investor returns with multiple venture-capital scenarios, and reserve DCF for sensitivity work. Present the result as a negotiated range tied to evidence, assumptions and complete deal terms.
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