Summary: This document is an audit-ready, authoritative Markdown template for building a Valuation Calculator (spreadsheet, web app, or API) that prescribes formulas, standardized inputs and outputs, conceptual guidance, UX/engineering notes, and founder-facing best practices while explicitly stating assumptions and limitations. It covers core valuation methods discounted cash flow (DCF) with explicit forecast and terminal value, comparable companies (trading comps), and precedent transactions along with implementation checklists, a worked DCF example and sensitivity grid, limitations/disclaimers, and a change log/data sources.

Valuation Calculator Markdown Template

Purpose

• A clear, audit-ready template for a Valuation Calculator tool (spreadsheet / web app / API).
• Includes the formulas, conceptual guidance, recommended inputs/outputs, UX/engineering notes, and founder-facing best practices.
• Designed to be authoritative, defensible, and transparent about assumptions and limitations.

Table of contents

1. Summary of approaches included
2. Inputs & outputs (standardized)
3. Underlying math & formulas
4. Conceptual explanation: when & why to use each method
5. Implementation checklist & UI/engineering guidance
6. Best practices for founders (practical, negotiation-focused)
7. Example worked DCF + sensitivity grid
8. Limitations & disclaimers
9. Change log / data sources

1) Summary of approaches included

• Discounted Cash Flow (DCF) explicit forecast + terminal value
• Comparable Companies (Trading Comps) revenue / EBITDA multiples
• Precedent Transactions acquisition multiples
• Venture Capital (VC) Method
• First Chicago Method (scenario-weighted)
• Scorecard / Berkus heuristics (early-stage sanity checks)
• Cap table & dilution modeling (post-money / pre-money)
• Sensitivity analysis (driver grid) + scenario analysis
• Optional: Monte Carlo for probabilistic outcome distributions

2) Inputs & Outputs

Inputs (grouped)

• Company identity: name, currency, valuation date
• Financials (historical): revenue, gross profit, EBITDA, capex, working capital changes, net debt
• Forecast drivers (by year): revenue growth rate(s), gross margin, operating margin / opex assumptions, capex, working capital as % of revenue
• Tax rate (effective)
• Discount rates: WACC (or cost of equity) or investor target IRR
• Terminal assumptions: perpetual growth rate g OR exit multiple (EV/Revenue or EV/EBITDA)
• Comparable multiples: selected peers, median multiples, source/date
• Transaction comparables: adjusted transaction multiples, date
• VC assumptions: target return multiple (e.g., 10x), investment size, holding period
• Ownership / cap table: outstanding shares/options/warrants, convertible instruments, SAFEs, pre/post-money rounds
• Scenario probabilities (for First Chicago / Monte Carlo)
• Sensitivity ranges for key drivers (growth, margin, exit multiple, discount rate)

Outputs

• Enterprise Value (per method)
• Equity Value and implied share price
• Pre-money and post-money valuation
• Implied multiples (EV/Revenue, EV/EBITDA)
• IRR / money multiple under VC assumptions
• Waterfall under liquidation preferences (if modeled)
• Sensitivity tables / tornado charts / output distributions
• Assumptions summary (exportable)

3) Underlying math & formulas

Notation:
t = year index, n = forecast horizon (years), FCFt = unlevered free cash flow in year t, WACC = weighted average cost of capital, g = terminal growth rate, EV = enterprise value, NetDebt = debt - cash

A. Unlevered Free Cash Flow (FCF)

FCF_t = EBIT_t * (1 - TaxRate) + Depreciation_t - CapEx_t - ΔWorkingCapital_t

(Or operating cash flow minus capex and ΔWC for a simpler build)

B. Discounted Cash Flow (DCF)

PV_FCFs = Σ_{t=1..n} (FCF_t) / (1 + WACC)^t
Terminal value (Gordon / Perpetuity): TV_G = FCF_{n+1} / (WACC - g)  where FCF_{n+1} = FCF_n * (1 + g)
Terminal value (Exit multiple): TV_M = Metric_n * ExitMultiple
Enterprise Value: EV_DCF = PV_FCFs + TV / (1 + WACC)^n
Equity Value = EV_DCF - NetDebt

C. WACC (when used)

WACC = (E / V) * Re + (D / V) * Rd * (1 - Tc)

where:
E = market value of equity (or implied equity value in a private setting),
D = book/market value of debt,
V = E + D,
Re = cost of equity (see CAPM),
Rd = cost of debt,
Tc = corporate tax rate

D. Cost of Equity (CAPM)

Re = Rf + Beta * (Rm - Rf)

E. Multiples (Comps / Precedent Transactions)

EV = Multiple * Metric
Common multiples: EV / Revenue, EV / EBITDA, EV / EBIT
Implied Equity = EV - NetDebt

F. Venture Capital Method (simple)

Terminal Value at exit (TV_exit) = Metric_N * ExitMultiple
Required post-money = TV_exit / (1 + TargetReturn)^{YearsToExit}
Pre-money = Post-money - Investment
Alternatively:
Ownership_needed = Investment / Post-money

G. First Chicago Method (scenario-weighted)

EV = p_down * EV_down + p_base * EV_base + p_up * EV_up
(p_down + p_base + p_up = 1)
Each scenario uses its own DCF / multiple assumptions

H. Scorecard & Berkus (heuristic early-stage)

• Scorecard: Start with median pre-money for region/sector, adjust by factor weights:

Valuation = Benchmark_PreMoney * Σ (weight_i * score_i)
where each score_i is relative to peers (0–2 scale), weights sum to 1

• Berkus: assign dollar values to risk-reducing milestones (idea, prototype, quality management, strategic relationships, product rollout).

I. Dilution / Cap Table basics

Post-money = Investment + Pre-money
%OwnershipInvestor = Investment / Post-money
New shares = OldShares * (Post-money / Pre-money)
EquityValuePerShare = EquityValue / TotalSharesOutstanding

J. Convertible instruments (SAFE / Note with cap)

• If valuation cap is used: investor converts at the lower of cap-derived price or next round price; model conversion mechanics before computing ownership.

K. Sensitivity grid

• Recompute EV/EqValue across matrix (e.g., revenue growth × exit multiple) producing a grid.

4) Conceptual explanation: when & why to use each method

• DCF

  • Use when you can build a credible multi-year forecast with predictable cash flows.
  • Strengths: forward-looking, captures company-specific plans (capex, margins).
  • Weaknesses: highly sensitive to growth, margin, and discount-rate assumptions and terminal value; less reliable for very early-stage startups with unpredictable revenues.

• Comparable Companies (Trading Comps)

  • Use to ground valuations to market reality.
  • Strengths: market-implied multiples; straightforward.
  • Weaknesses: finding true peers is often hard; market sentiment can over/understate value.

• Precedent Transactions

  • Use when relevant M&A transactions exist in the sector.
  • Strengths: reflects acquisition premiums and strategic valuations.
  • Weaknesses: transaction data can be sparse and context-specific.

• VC Method

  • Common for early-stage venture negotiations to link target returns to ownership needed.
  • Strengths: aligns with investor return expectations.
  • Weaknesses: ignores interim dilution, liquidation preference complications, and may oversimplify exit timing.

• First Chicago

  • Combines DCF/multiples and scenarios; useful when outcomes are bimodal (e.g., success vs. failure).
  • Strengths: forces explicit probabilities and is intuitive to investors.
  • Weaknesses: assigning probabilities can be subjective.

• Scorecard / Berkus

  • Helpful for pre-revenue or just-seed companies to produce a sanity‑checked valuation band.
  • Strengths: simple to explain and defend qualitatively.
  • Weaknesses: heuristic and not suitable as sole basis for later-stage negotiations.

General rule: Use multiple methods, reconcile results, surface ranges, and document key assumptions.

5) Implementation checklist & UX/engineering guidance

Data model & architecture

• Single source of truth for inputs; derive all methods from same assumptions.
• Time series engine that computes FCF, balance sheet effects, and metrics.
• Cap table module that can ingest and apply convertible securities, options, SAFEs, and model pro forma post-money ownership.

UI / UX

• Inputs panel: grouped logically and collapsible; allow explicit overrides and bulk import (CSV).
• Assumptions pane: show base case and scenario variants.
• Outputs panel: summary card (EV range, equity price, implied multiples), detailed tabs per method, sensitivity grid, and downloadable report (PDF / CSV).
• Audit trail: timestamped change log, “who changed what” for collaboration.
• Validation: plausibility checks (e.g., negative WACC, terminal growth above GDP > warn), required fields, range sliders for quick sensitivity.

Calculations & performance

• Use double precision; avoid circularities unless intentional (e.g., implied WACC from trade comps).
• Provide both deterministic and probabilistic (Monte Carlo) engines; cap Monte Carlo samples for client performance.
• Expose intermediate outputs (EBITDA bridge, FCF waterfall) for transparency.

Reporting

• Exportable assumptions summary, sensitivity tables, scenario results, and model version.
• Include methodology section in report that cites data sources and last update date.

Security & governance

• Version control for model templates.
• Role-based access to change assumptions vs. view-only.
• Encrypt sensitive data; comply with data retention policies.

Testing

• Unit tests for math functions, integration tests for cap table and conversion, regression tests when updating code.

6) Best practices for founders (authoritative guidance)

1. Be realistic anchor forecasts in evidence

   • Use bottom-up drivers (customer cohorts, conversion rates, ARPU, retention) not just top-down growth percentages.
   • Document every assumption and the data source.

2. Present a range, not a point

   • Give base / optimistic / conservative scenarios and a sensitivity grid showing how valuation responds to key inputs (growth, margin, exit multiple).

3. Benchmark properly

   • Choose peer companies with similar business models, monetization, and maturity.
   • Adjust for structural differences (SaaS ARR vs. marketplace GMV, capital intensity).

4. Stress test terminal assumptions

   • Terminal value often dominates DCF check valuations under terminal growth and exit multiple methods.
   • Use conservative perpetual growth (<= long-term nominal GDP + inflation ~ 2–3% for developed markets).

5. Model dilution / option pools explicitly

   • Show pre- and post-money cap table impacts, create scenarios for future financings and how they dilute founders.
   • Allocate an appropriate option pool before raising (investors expect this pre-money), and model its dilution.

6. Explain your unit economics

   • CAC, LTV, payback period, gross margins, and contribution margin must be clear and internally consistent with forecasts.

7. Use the VC lens for early rounds

   • If raising venture money, reverse-engineer the investor’s target return and show how that maps to ownership needed.

8. Keep comparables current & cited

   • Use recent comps; list sources and dates. Market multiples shift reconciliation must be timestamped.

9. Prepare an investor-friendly sensitivity appendix

   • Investors love to see how valuations change with +/- 200–500 bp in WACC or +/- 25–50% in revenue growth.

10. Avoid overfitting

    • Don’t manipulate small model tweaks to justify an arbitrary headline valuation; that undermines credibility.

11. Be transparent about convertible securities

    • SAFEs, notes and caps materially affect ownership model full-conversion scenarios.

12. Narrative matters

    • Use the model as a quantitative companion to a concise, defensible story: market size → product-market fit → scaled unit economics → capital plan.

7) Example: Simple DCF walkthrough (numeric)

Assumptions (example)

• Forecast horizon: 5 years
• Year 1 FCF = $1.0M; Year-on-year FCF growth = 30% (years 1–3), then taper to 10% (years 4–5)
• WACC = 12%
• Terminal growth g = 3% (Gordon)
• Net Debt = $2.0M

Steps

1. Project FCF:

   • FCF1 = 1.00
   • FCF2 = 1.30
   • FCF3 = 1.69
   • FCF4 = 1.859
   • FCF5 = 2.045

2. Discount FCF to PV:

   • PV_FCF_t = FCF_t / (1 + 0.12)^t
   • Compute PVs and sum = Σ PV_FCFs ≈ (compute each: 1/1.12 = .8929; etc.) Suppose Σ PV_FCFs ≈ $5.2M (example)

3. Terminal value (Gordon)

   • FCF6 = FCF5 * 1.03 = 2.046 * 1.03 ≈ 2.107M
   • TV = FCF6 / (WACC - g) = 2.107 / (0.12 - 0.03) = 2.107 / 0.09 ≈ $23.411M
   • PV_TV = TV / (1+WACC)^5 ≈ 23.411 / 1.7623 ≈ $13.29M

4. Enterprise Value

   • EV = Σ PV_FCFs + PV_TV ≈ 5.2 + 13.29 = $18.49M

5. Equity Value

   • Equity = EV - NetDebt = 18.49 - 2.0 = $16.49M

6. Sensitivity check

   • If WACC = 10%, EV rises materially; if g = 2%, TV drops. Present a 3×3 grid.

(Important: The numbers above are illustrative. The calculator should compute exact PVs.)

8) Limitations & disclaimers

• No model eliminates judgment. Valuation is partially quantitative and partially market-driven (supply/demand, investor sentiment).
• Results depend heavily on inputs garbage in, garbage out. Always provide provenance for data and a versioned assumptions log.
• This template is for informational and planning purposes only, not legal, tax, or investment advice. Consult professional advisors for transaction execution.

9) Appendix: quick formulas reference (copy-paste friendly)

• FCF:
  FCF_t = EBIT * (1 - TaxRate) + Depreciation - CapEx - ΔWC

• DCF:
  EV = Σ (FCF_t / (1 + WACC)^t) + TV / (1 + WACC)^n

• Perpetuity TV:
  TV_G = FCF_{n+1} / (WACC - g)

• Exit multiple TV:
  TV_M = Metric_n * ExitMultiple

• WACC:
  WACC = (E/V)*Re + (D/V)Rd(1 - Tc)

• CAPM:
  Re = Rf + Beta * (Rm - Rf)

• VC method post-money:
  Post = TV_exit / (1 + TargetReturn)^{Years}

• Ownership:
  Ownership = Investment / Post-money

Example README section for the calculator

• Model name: ValuationCalculator_v1.0
• Author: [Your name / team]
• Last updated: YYYY-MM-DD
• Methods implemented: DCF, Comps, Precedent, VC, FirstChicago, Scorecard, CapTable
• Required inputs: See Inputs list above
• Output artifacts: PDF valuation report, CSV outputs, sensitivity PNGs
• Data sources: [List sources for market multiples, risk-free rates, peer financials]
• Notes: Document any circular calculations (e.g., implied cost of equity), and explain when they are active.

If you want, I can:

• Generate a ready-to-use spreadsheet template (Excel / Google Sheets) implementing these formulas and UI structure.
• Produce a minimal React component spec or API contract for a web valuation calculator with endpoints and sample JSON payloads.
• Create a one-page investor-ready valuation report template populated with sample outputs.

Which deliverable would you like next?