Precedent Transaction Analysis Calculator
This advanced precedent transaction analysis tool estimates implied enterprise value, equity value and per-share indications using selected transaction multiples and common adjustments such as control premiums, minority discounts, transaction date normalizations and FX conversion.
The tool is intended for valuation analysts and deal teams as an indicative, model-driven starting point. It is not a substitute for professional judgement, and results depend critically on the choice of comparable transactions and the quality of input data.
Governance
Record 5dd3be23c855 • Reviewed by Fidamen Standards Committee
Compute implied enterprise value and per-share implied equity using the selected median comparable multiple and adjust for transaction date and FX.
Inputs
Results
Implied Enterprise Value
$160,000,000.00
Implied Equity Value
$120,000,000.00
Implied Equity per Share
$12.00
| Output | Value | Unit |
|---|---|---|
| Implied Enterprise Value | $160,000,000.00 | USD |
| Implied Equity Value | $120,000,000.00 | USD |
| Implied Equity per Share | $12.00 | USD |
Visualization
Methodology
Select comparable transactions and extract the relevant multiples (EV/EBITDA, EV/Revenue, EV/EBIT, etc.). Use the median multiple as the primary central estimate and optionally use a low/high multiple to show a value range.
Adjust the target company's metric to the transaction date and convert currencies using an FX rate when necessary. Subtract net debt and add cash to convert enterprise value into implied equity value. Apply control premiums or minority/illiquidity discounts where appropriate to reflect transaction context.
Document and preserve all comparables, data sources and adjustment rationales. Run sensitivity checks by varying multiples, control premium and discounts to understand model stability.
Key takeaways
This tool produces indicative values derived from precedent transactions using median and range multiples, and supports common adjustments for control and minority contexts. Use as part of a triangulated valuation approach and disclose all inputs and assumptions.
For model governance and security, follow organizational and industry standards such as NIST, ISO and IEEE guidance; retain versioning, data sources and an audit trail for regulatory or internal review.
Worked examples
Example 1: Using median EV/EBITDA = 8× on LTM EBITDA of 20m yields EV = 160m. With net debt 50m and cash 10m, implied equity = 120m; with 10m shares outstanding, implied per-share = 12.00 USD.
Example 2: Apply a 20% control premium to the base equity of 120m to estimate an acquirer control price: 120m × 1.20 = 144m, or 14.40 USD per share.
F.A.Q.
How should I pick comparable transactions?
Choose transactions with similar industry, scale, growth profile, profitability and deal structure. Adjust for timing (economic cycle) and accounting differences. Document selection criteria and avoid mixing materially different sub-sectors without rationale.
When should I apply a control premium or a minority discount?
Apply a control premium when estimating a takeover price for a control stake; apply a minority/illiquidity discount when estimating a non-control, non-marketable minority stake for private-company contexts. Supporting empirical evidence should be cited for the chosen percentages.
What are the limitations of this model?
This model provides mechanical estimates based on selected multiples and simple adjustments. It does not replace detailed due diligence, forecasts, transaction-specific synergies, or legal/tax adjustments. Outputs are sensitive to input multiples and adjustments; perform sensitivity analysis and disclose assumptions.
How should I validate and document model outputs?
Validate inputs against primary sources, cross-check implied values against other valuation methods (DCF, public comps), and keep an audit trail of comparable transactions, multiples, and adjustment rationale. Follow internal model validation policies and industry best practices.
How accurate are per-share outputs when shares outstanding are estimated?
Per-share outputs scale linearly with share count. Use fully diluted share counts where appropriate and note potential dilution from options, warrants or convertible instruments. If share count is uncertain, present a range or run sensitivity analysis.
Sources & citations
- NIST - Frameworks and guidance for data integrity and model risk management — https://www.nist.gov
- ISO - Quality management and information security standards (e.g., ISO 9001, ISO/IEC 27001) — https://www.iso.org
- IEEE - Standards for software verification, validation and trustworthy systems (see IEEE standards library) — https://standards.ieee.org
- OSHA - Workplace safety and operational controls (refer to organizational compliance obligations) — https://www.osha.gov
- International Valuation Standards Foundation (IVS) - Guidance on valuation reporting and transparency — https://www.ivsc.org
- CFA Institute — Equity Valuation Standards — https://rpc.cfainstitute.org/
- FASB ASC 820 — Fair Value Measurement — https://www.fasb.org/
- AICPA — Valuation Services — https://www.aicpa-cima.com/
Further resources
Versioning & Change Control
Audit record (versions, QA runs, reviewer sign-off, and evidence).
Record ID: 5dd3be23c855What changed (latest)
v1.0.0 • 2025-11-12 • MINOR
Initial publication and governance baseline.
Why: Published with reviewed formulas, unit definitions, and UX controls.
Public QA status
PASS — golden 25 + edge 120
Last run: 2026-01-23 • Run: golden-edge-2026-01-23
Versioning & Change Control
Audit record (versions, QA runs, reviewer sign-off, and evidence).
What changed (latest)
v1.0.0 • 2025-11-12 • MINOR
Initial publication and governance baseline.
Why: Published with reviewed formulas, unit definitions, and UX controls.
Public QA status
PASS — golden 25 + edge 120
Last run: 2026-01-23 • Run: golden-edge-2026-01-23
Engine
v1.0.0
Data
Baseline (no external datasets)
Content
v1.0.0
UI
v1.0.0
Governance
Last updated: Nov 12, 2025
Reviewed by: Fidamen Standards Committee (Review board)
Credentials: Internal QA
Risk level: low
Reviewer profile (entity)
Fidamen Standards Committee
Review board
Internal QA
Entity ID: https://fidamen.com/reviewers/fidamen-standards-committee#person
Semantic versioning
- MAJOR: Calculation outputs can change for the same inputs (formula, rounding policy, assumptions).
- MINOR: New features or fields that do not change existing outputs for the same inputs.
- PATCH: Bug fixes, copy edits, or accessibility changes that do not change intended outputs except for previously incorrect cases.
Review protocol
- Verify formulas and unit definitions against primary standards or datasets.
- Run golden-case regression suite and edge-case suite.
- Record reviewer sign-off with credentials and scope.
- Document assumptions, limitations, and jurisdiction applicability.
Assumptions & limitations
- Uses exact unit definitions from the Fidamen conversion library.
- Internal calculations use double precision; display rounding follows the unit's configured decimal places.
- Not a substitute for calibrated instruments in regulated contexts.
- Jurisdiction-specific rules may require official guidance.
Change log
v1.0.0 • 2025-11-12 • MINOR
Initial publication and governance baseline.
Why: Published with reviewed formulas, unit definitions, and UX controls.
Areas: engine, content, ui • Reviewer: Fidamen Standards Committee • Entry ID: 0de9b9d979a9