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How to Answer “How would you value a pre-revenue company in an interview?” in Investment Banking Interviews

In investment banking interview prep, a common test of judgement is: “How would you value a pre-revenue company in an interview?” The challenge is that traditional anchors like revenue, EBITDA, and steady free cash flow often don’t exist yet.

A strong answer shows you understand valuing pre-revenue companies is about building a defendable range using scenario-based fundamentals, market evidence, and explicit assumptions (including funding needs and dilution), rather than forcing false precision.

What Interviewers Test in IB Technical Questions on Startups

This sits among the most revealing IB technical questions because it tests whether you can adapt valuation logic when standard inputs are missing. Interviewers want to hear how you’d create structure: what you’d model, what you’d benchmark, and how you’d communicate uncertainty.

They’re also testing your command of valuation techniques in messy situations—e.g., probability-weighted outcomes, milestone-driven forecasts, and exit-based methods—plus your ability to explain how items like WACC (or a higher risk-adjusted discount rate) and terminal value can dominate results.

Finally, it evaluates practical deal instincts: recognising cash burn, future raises, and dilution; selecting sensible comparable references; and presenting a range with the 2–3 assumptions that actually drive the valuation.

Valuation Techniques for Pre-Revenue Firms: 5-Step Framework

  1. 1

    Step 1: Clarify stage, business model, and what you’re valuing

    Start with 1–2 clarifying questions so your approach matches the situation: What’s the product and go-to-market? What milestone is achieved (prototype, regulatory progress, signed pilots/LOIs)? What is the likely path to monetisation and the expected timing?

    Then define what value means in context: enterprise value vs equity value, minority vs control, and whether this is for M&A, a financing, or internal underwriting. In pre-revenue company valuation, the answer often centres on equity value today, which depends heavily on future funding, ownership at exit, and probability of success.

    State the principle upfront: with limited operating history, you’ll triangulate methods and present a valuation range with clearly stated drivers.

  2. 2

    Step 2: Convert milestones into a scenario-based path to revenue and unit economics

    Explain how you’d build a simple, driver-based model that links milestones to an economic ramp. Use a top-down view (TAM/SAM/SOM) and a bottom-up build (customers or units × price) to estimate when revenue begins, how quickly it scales, and what long-run gross margin and operating leverage could look like.

    Because uncertainty is high, outline 2–4 scenarios (e.g., success / partial success / failure, or downside / base / upside) with different launch dates, penetration, pricing, and margin trajectories. Keep it simple enough to sensitivity-test in an interview.

    Call out the key drivers you’d pressure-test: time-to-commercialisation, conversion/retention, gross margin durability, and reinvestment intensity (R&D, sales & marketing, capex and working capital once scaling starts).

  3. 3

    Step 3: Apply fit-for-purpose valuation techniques and reconcile a range

    For valuing pre-revenue companies, you should explicitly triangulate:

    • Probability-weighted DCF (PW-DCF): Forecast cash flows once revenue starts, probability-weight the scenarios, and discount at a risk-adjusted rate (often higher than a mature-company WACC due to execution risk). Keep terminal value conservative and run sensitivities on timing, margins, and the discount rate.
    • Venture/exit method: Estimate exit-year revenue or EBITDA, apply an exit multiple anchored to relevant public comps, then discount back using a target return that reflects stage risk and expected dilution.
    • Market evidence / comparables: Use the closest comps and private benchmarks (recent funding rounds or comparable transactions) and be explicit about adjustments for growth, business model differences, and risk.

    Emphasise you’re not choosing a single “right” method—you’re reconciling the outputs and explaining why each is informative given the data.

  4. 4

    Step 4: Model cash burn, capital needs, and dilution explicitly

    Pre-revenue valuations can be very sensitive to the financing path. State that you’d model cash burn to the next inflection point(s) and estimate how much capital is required to reach commercial scale.

    Then incorporate dilution: if multiple rounds are likely before exit, today’s equity value must reflect that future capital raises reduce current ownership. In an interview, you can do this at a high level (total capital needed, timing assumptions, and an implied post-money ownership progression).

    This is a key investment banking interview strategy signal: it shows you understand why an attractive exit valuation can still imply a much lower value today once funding needs and survival risk are incorporated.

  5. 5

    Step 5: Sanity-check with reality checks and communicate the range cleanly

    Close with sanity checks that tie the valuation back to operational reality: implied exit revenue versus market size, implied customer count versus feasible sales capacity, implied margins versus industry structure, and whether the outcome assumes an unrealistic share of category profits.

    Cross-check against market clearing levels: step-ups between rounds, recent financings for similar stages, and whether the valuation supports a plausible investor return profile.

    Deliver the output as a range with the 2–3 biggest levers called out (typically timing, probability of success, discount rate/target return, and exit multiple). This is often what differentiates strong valuation interview prep from a formula-driven answer.

Model Answer: Valuing Pre-Revenue Companies (Analyst)

Model answer

I’d value a pre-revenue company by triangulating a valuation range rather than forcing a single number, because the biggest questions are whether it commercialises and how much capital it needs to get there.

First, I’d clarify the stage and the valuation context—financing vs M&A—and what milestones are already achieved. Then I’d build a simple driver-based model that links milestones to a revenue start date, a ramp, and long-term unit economics, using 2–4 scenarios like success, partial success, and failure.

From there, I’d use a probability-weighted approach. The core would be a probability-weighted DCF where I forecast cash flows once revenue begins, probability-weight the scenarios, and discount at a risk-adjusted rate—often higher than a mature-company WACC given execution risk. I’d keep terminal value assumptions conservative and run sensitivities on timing to launch, steady-state margins, and the discount rate.

In parallel, I’d cross-check with market methods: a VC-style exit approach where I estimate exit-year revenue or EBITDA, apply an exit multiple based on relevant public comps, and discount back; and I’d reference private market evidence like recent funding rounds or comparable transactions, adjusting for traction and stage.

Finally, I’d explicitly model cash burn, capital required, and resulting dilution, because that can materially change today’s equity value. I’d present the range and highlight the key drivers—time-to-commercialisation, probability of success, and exit assumptions—and sanity-check against TAM and market-clearing valuations.

  • Open with “range + uncertainty” to demonstrate judgement under incomplete data.
  • Name 2–3 relevant methods (PW-DCF, exit method, market evidence) and explain why they fit pre-revenue company valuation.
  • Make funding needs and dilution explicit; interviewers often look for this at analyst level.
  • Flag sensitivities that dominate: timing, probability weights, discount rate/target return, and exit multiple/terminal value.

Common Pitfalls in Pre-Revenue Company Valuation

  • Using current-year valuation multiples when revenue and EBITDA are zero, instead of forward metrics, scenarios, or exit-based methods.
  • Giving a single precise value rather than a range with clear drivers and sensitivity discussion.
  • Running a DCF that treats commercialisation timing as certain, so terminal value becomes a catch-all to “make it work.”
  • Ignoring cash burn, future funding rounds, and dilution—leading to an overstated “today” equity value.
  • Choosing weak comparables (different business model or risk profile) without explaining what adjustments you’d make and why.
  • Overstating long-term margins or growth to justify the number, rather than grounding assumptions in market size and unit economics.

Follow-Ups on DCF, WACC, Terminal Value, and Valuation Multiples

If there are no good public comps, how do you think about valuation multiples?

I’d use adjacent comps as a rough anchor, lean more on scenario-based methods and private transaction benchmarks, and explain the adjustment for growth, margin profile, and risk.

How do you choose probabilities in a probability-weighted DCF?

I tie probabilities to objective milestones and evidence (product readiness, regulatory path, signed pilots), and sanity-check against sector base rates rather than intuition alone.

What discount rate would you use for a pre-revenue DCF?

Conceptually I start from WACC, but I’d typically use a higher risk-adjusted rate given execution risk and show sensitivity because the rate materially drives value.

How do you avoid terminal value dominating the valuation?

I keep the explicit forecast long enough to reach a plausible steady state, use conservative terminal assumptions, and cross-check with an exit multiple approach.

What are the biggest drivers of the valuation for a pre-revenue startup?

Timing to revenue, probability of success, total capital required (and dilution), and the exit multiple or steady-state margin assumptions are usually the main levers.

Valuation Interview Prep: Drills to Improve Structure and Speed

  • Practise a 60–90 second spine answer for investment banking interview prep: clarify stage → scenarios → PW-DCF + exit cross-check → dilution → range + key sensitivities.
  • Build a one-page prompt sheet you can memorise: 3 scenarios, 3 drivers, and 2 sensitivity tables (timing and discount rate/exit multiple).
  • Drill “why this method” explanations for common valuation techniques (PW-DCF vs VC method vs comps) so you can defend your choices under pressure.
  • Do at least one timed mock on AceTheRound where you must state a range and defend assumptions verbally without relying on a spreadsheet.

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