building-equity-valuation-models

Constructs DCF, comparable company, and precedent transaction valuation models with sensitivity analysis. Use when valuing public companies, building financial models, or estimating fair value ranges.

11 stars

Best use case

building-equity-valuation-models is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Constructs DCF, comparable company, and precedent transaction valuation models with sensitivity analysis. Use when valuing public companies, building financial models, or estimating fair value ranges.

Teams using building-equity-valuation-models should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/building-equity-valuation-models/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/building-equity-valuation-models/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/building-equity-valuation-models/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How building-equity-valuation-models Compares

Feature / Agentbuilding-equity-valuation-modelsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Constructs DCF, comparable company, and precedent transaction valuation models with sensitivity analysis. Use when valuing public companies, building financial models, or estimating fair value ranges.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Building Equity Valuation Models

## When To Use

- Estimating intrinsic or fair value of a public or private equity security
- Building or auditing a DCF, comparable company analysis (comps), or precedent transaction analysis
- Preparing valuation support for investment memos, pitch books, or fairness opinions
- Running sensitivity/scenario analysis around key value drivers
- Cross-checking a single-method valuation with a multi-method "football field" range

## Inputs To Gather

- **Company financials**: Most recent 10-K/10-Q or annual report — revenue, EBITDA, EBIT, net income, capex, D&A, working capital line items (minimum 3 years historical)
- **Forward estimates**: Consensus sell-side estimates or management guidance for revenue and earnings (2–3 years forward)
- **Capital structure**: Total debt, cash & equivalents, diluted share count (including options/RSUs via treasury stock method), preferred equity, minority interests
- **Comparable universe**: 5–10 peer companies with sector, size, growth, and margin similarity; confirm tickers and fiscal year ends
- **Precedent transactions**: Relevant M&A deals in the sector over the trailing 3–5 years with disclosed deal multiples
- **Discount rate inputs**: Risk-free rate [VERIFY current yield on 10-year sovereign], equity risk premium, levered/unlevered beta source, cost of debt, target capital structure for WACC
- **Terminal value assumptions**: Long-term growth rate or exit multiple, and rationale for each

## Workflow

### 1. Construct the DCF Model

- Project unlevered free cash flow (UFCF) for 5–10 years: Revenue → EBIT → NOPAT → add back D&A → subtract capex and changes in net working capital
- Calculate WACC: weight cost of equity (CAPM) and after-tax cost of debt by target capital structure [VERIFY tax rate assumptions per jurisdiction]
- Compute terminal value using both the perpetuity growth method (Gordon Growth) and the exit multiple method; present both
- Discount projected UFCF and terminal value to present; sum to get enterprise value
- Bridge to equity value: Enterprise Value − Net Debt − Minority Interests − Preferred + Associates/JV value → Equity Value ÷ Diluted Shares = Implied Price Per Share

### 2. Build Comparable Company Analysis

- Select peer set; document selection criteria (sector, geography, size, growth profile)
- Pull trailing and forward multiples: EV/Revenue, EV/EBITDA, EV/EBIT, P/E, P/FCF
- Calculate mean, median, and interquartile range; flag and discuss outliers
- Apply selected multiple range to subject company's corresponding metric to derive implied valuation range
- Adjust for company-specific premiums/discounts (growth differential, margin profile, risk factors)

### 3. Build Precedent Transaction Analysis

- Identify 8–15 comparable transactions; document deal date, buyer/seller, deal value, and strategic rationale
- Extract transaction multiples: EV/Revenue, EV/EBITDA at announcement and at LTM pre-deal
- Note control premiums paid (deal price vs. unaffected share price)
- Apply relevant multiple range to subject company metrics; clearly separate "as-is" value from "with-control-premium" value
- Flag stale transactions (>3 years old) and note market-environment differences [VERIFY macro conditions at deal close]

### 4. Sensitivity & Scenario Analysis

- **DCF sensitivities**: Build two-way data tables on (a) WACC vs. terminal growth rate and (b) WACC vs. exit multiple — display implied share price ranges
- **Comps sensitivities**: Show valuation at 25th, 50th, and 75th percentile multiples
- **Scenario overlay**: Define base, bull, and bear cases with explicit assumption changes (revenue growth, margin expansion/compression, multiple re-rating); summarize each scenario's implied value

### 5. Synthesize the Valuation Range

- Present a "football field" chart or table showing the implied price range from each methodology side by side
- Identify the central tendency across methods and highlight where methodologies converge or diverge
- State a recommended fair value range (not a point estimate) with confidence weighting by methodology

## Output

Deliver a structured valuation model containing:

- **Assumptions page**: Every key input listed, sourced, and dated; [VERIFY] tags on any assumed or estimated inputs
- **DCF tab**: Full UFCF build, WACC calculation, terminal value (both methods), bridge to equity value
- **Comps tab**: Peer summary table with multiples, statistical summary, implied valuation
- **Precedents tab**: Transaction summary, multiple ranges, implied valuation
- **Sensitivity tables**: Two-way tables for DCF; percentile tables for comps/precedents
- **Summary page**: Football field visualization, fair value range, key risks to the valuation thesis
- All figures clearly labeled with units, currency, and fiscal period

## Quality Checks

- Verify UFCF build ties back to source financials — check that Revenue → EBIT → NOPAT → UFCF reconciles
- Confirm WACC components are internally consistent (beta source matches peer set; debt cost matches credit profile)
- Ensure terminal value does not exceed 70–75% of total enterprise value; if it does, extend the explicit forecast period or revisit growth assumptions
- Validate that the equity bridge accounts for all claims ahead of common equity (convertibles, preferred, minority interests)
- Cross-check implied valuation multiples from DCF against comps range — significant divergence requires explanation
- Confirm diluted share count uses treasury stock method and reflects latest filing [VERIFY share count date]
- Review all [VERIFY] tags before finalizing; no unresolved tags in the delivered output

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