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Valuation Analyst

  • 220 installs
  • 8 repo stars
  • Updated January 22, 2026
  • jmsktm/claude-settings

Estimate business or asset value using revenue, margin, growth, and comparable benchmarks to support fundraising, M&A, or pricing decisions.

About

Valuation analyst from jmsktm/claude-settings models company or asset value from financial inputs, growth assumptions, and market comparables. It supports validate-stage decisions on pricing, fundraising narratives, and economic feasibility.

  • Revenue and margin modeling
  • Comparable and multiple analysis
  • Scenario and sensitivity views
  • Unit economics checks
  • Investor-ready valuation framing

Valuation Analyst by the numbers

  • 220 all-time installs (skills.sh)
  • Ranked #440 of 1,106 Finance & Trading skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs220
repo stars8
Last updatedJanuary 22, 2026
Repositoryjmsktm/claude-settings

What it does

Estimate business or asset value using revenue, margin, growth, and comparable benchmarks to support fundraising, M&A, or pricing decisions.

Files

SKILL.mdMarkdownGitHub ↗

Valuation Analyst

Expert valuation agent that determines fair value of companies and assets using multiple methodologies. Specializes in DCF analysis, comparable company analysis, precedent transactions, and asset-based valuation. Provides comprehensive valuation for investment decisions, M&A, and strategic planning.

This skill applies rigorous valuation frameworks used by investment banks, private equity firms, and corporate finance professionals. Perfect for startup valuations, M&A analysis, investment decisions, and fairness opinions.

Core Workflows

Workflow 1: Discounted Cash Flow (DCF) Valuation

Objective: Value company based on projected future cash flows

Steps: 1. Financial Projections (5-10 years)

  • Revenue Projections:
  • Historical growth analysis
  • Market size and share
  • Segment-level forecasts
  • Growth rate deceleration
  • Profitability Projections:
  • Gross margin trends
  • Operating margin expansion
  • SG&A leverage
  • Target margins at maturity
  • Capital Requirements:
  • CapEx as % of revenue
  • Working capital changes
  • D&A schedule

2. Free Cash Flow Calculation

   EBIT (Earnings Before Interest & Taxes)
   - Taxes (EBIT × Tax Rate)
   = NOPAT (Net Operating Profit After Tax)
   + Depreciation & Amortization
   - Capital Expenditures
   - Change in Working Capital
   = Unlevered Free Cash Flow (UFCF)

3. Discount Rate (WACC)

  • Cost of Equity (CAPM):
     Ke = Rf + β × (Rm - Rf)

     Where:
     Rf = Risk-free rate (10-year Treasury)
     β = Levered beta
     Rm - Rf = Equity risk premium (5-7%)

     For private companies, add size premium (2-6%)
  • Cost of Debt:
     Kd = Interest Rate × (1 - Tax Rate)
  • WACC Calculation:
     WACC = (E/V × Ke) + (D/V × Kd)

     E = Market value of equity
     D = Market value of debt
     V = E + D

4. Terminal Value

  • Perpetuity Growth Method:
     TV = FCF(final year) × (1 + g) / (WACC - g)

     g = Terminal growth rate (typically 2-3%)
  • Exit Multiple Method:
     TV = EBITDA(final year) × Exit Multiple

     Exit multiple based on comparables

5. Enterprise Value Calculation

   Enterprise Value = Σ(FCF / (1 + WACC)^t) + TV / (1 + WACC)^n

   t = year number
   n = final projection year

6. Equity Value Bridge

   Enterprise Value
   - Total Debt
   - Preferred Stock
   - Minority Interest
   + Cash & Equivalents
   + Non-operating Assets
   = Equity Value

   Per Share Value = Equity Value / Diluted Shares

7. Sensitivity Analysis

  • WACC vs Terminal Growth matrix
  • Revenue growth sensitivity
  • Margin sensitivity
  • Multiple sensitivity

Deliverable: DCF valuation with sensitivity tables

Workflow 2: Comparable Company Analysis

Objective: Value company using trading multiples of similar public companies

Steps: 1. Select Comparable Companies

  • Same industry/sector
  • Similar business model
  • Comparable size (revenue, market cap)
  • Similar growth profile
  • Geographic relevance
  • Minimum 5-7 comps preferred

2. Gather Market Data

  • Stock price (current)
  • Shares outstanding (diluted)
  • Market capitalization
  • Total debt
  • Cash and equivalents
  • Minority interest

3. Calculate Enterprise Value

   Market Cap = Share Price × Diluted Shares

   Enterprise Value = Market Cap + Debt - Cash + Minority Interest

4. Gather Financial Metrics

  • LTM (Last Twelve Months):
  • Revenue
  • EBITDA
  • EBIT
  • Net Income
  • EPS
  • NTM (Next Twelve Months) estimates:
  • Revenue
  • EBITDA
  • EPS

5. Calculate Trading Multiples

MultipleFormulaWhen to Use
EV/RevenueEV / RevenueHigh growth, negative EBITDA
EV/EBITDAEV / EBITDAMost common, capital intensive
EV/EBITEV / EBITD&A differs materially
P/EPrice / EPSMature, profitable
P/BPrice / BookFinancial institutions
PEGP/E / GrowthGrowth-adjusted comparison

6. Analyze and Select Multiples

  • Calculate mean, median, range
  • Identify outliers
  • Consider premium/discount factors
  • Select appropriate multiple range

7. Apply to Target Company

   Enterprise Value = Target Metric × Selected Multiple

   Example:
   Target EBITDA = $50M
   Median EV/EBITDA = 12.0x
   Implied EV = $600M

8. Valuation Range

  • Low (25th percentile multiple)
  • Mid (median multiple)
  • High (75th percentile multiple)

Deliverable: Comparable company analysis with valuation range

Workflow 3: Precedent Transaction Analysis

Objective: Value company using M&A transaction multiples

Steps: 1. Identify Relevant Transactions

  • Same industry
  • Similar deal size
  • Recent (last 3-5 years)
  • Similar deal structure
  • Minimum 5-7 transactions

2. Gather Transaction Details

  • Announcement date
  • Acquirer and target
  • Deal value
  • Deal structure (stock/cash)
  • Strategic vs financial buyer
  • Control premium paid

3. Calculate Transaction Multiples

  • EV/Revenue at time of deal
  • EV/EBITDA at time of deal
  • EV/EBIT at time of deal
  • Premium to trading price

4. Adjust for Context

  • Market conditions at time of deal
  • Synergy expectations
  • Competitive bidding situation
  • Distressed vs strategic deals

5. Apply to Target

   Transaction EV = Target Metric × Transaction Multiple

6. Consider Control Premium

  • Typical premium: 20-40% over trading
  • Adjust for minority vs control stakes
  • Strategic vs financial buyers

Deliverable: Precedent transaction analysis with implied value range

Workflow 4: Startup/Private Company Valuation

Objective: Value early-stage or private company

Steps: 1. Valuation Method Selection

StagePrimary Methods
Pre-revenueScorecard, Berkus, Risk Factor
Early revenueRevenue multiples, DCF (if possible)
Growth stageRevenue multiples, DCF
Late stageDCF, comps, precedent transactions

2. Revenue Multiple Approach

  • Select Comparable Multiples:
  • Public SaaS: 5-15x revenue
  • Marketplace: 1-5x GMV, 5-15x revenue
  • E-commerce: 0.5-2x revenue
  • Apply Discount:
  • Illiquidity discount: 20-35%
  • Size discount: 10-30%
  • Stage discount: varies
  • Calculation:
     Value = Revenue × Multiple × (1 - Discounts)

3. Venture Capital Method

   Exit Value = Projected Revenue × Exit Multiple
   Pre-money Value = Exit Value / Target Return

   Example:
   Year 5 Revenue = $100M
   Exit Multiple = 6x
   Exit Value = $600M
   Target Return = 10x
   Current Value = $60M

4. Scorecard Method (Pre-revenue)

  • Average pre-money for stage/region
  • Score on factors (±50%):
  • Team strength
  • Market opportunity
  • Product/technology
  • Competitive environment
  • Partnerships
  • Need for financing
  • Multiply base by weighted factors

5. Cap Table Implications

  • Pre-money vs post-money
  • Dilution calculation
  • Option pool sizing
  • Liquidation preferences

Deliverable: Private company valuation with methodology explanation

Workflow 5: Sum-of-the-Parts (SOTP) Valuation

Objective: Value multi-segment company by valuing each segment separately

Steps: 1. Segment Identification

  • Business segments from filings
  • Geographic segments
  • Product line segments
  • Operational vs non-operating assets

2. Segment Financial Separation

  • Segment revenue
  • Segment EBITDA
  • Segment assets
  • Corporate overhead allocation

3. Segment Valuation

  • Value each segment using appropriate method:
  • Growth segment: Revenue multiple or DCF
  • Mature segment: EBITDA multiple
  • Asset-heavy: Asset-based
  • Use segment-specific comparables

4. Corporate Adjustments

  • Corporate overhead (capitalize as liability)
  • Shared services
  • Intercompany eliminations
  • Net debt allocation

5. Sum of Parts

   Segment A Value: $X
   + Segment B Value: $Y
   + Segment C Value: $Z
   - Corporate Overhead Value: ($W)
   - Net Debt: ($D)
   = Total Equity Value

6. Conglomerate Discount

  • Typical discount: 10-25%
  • Reasons: complexity, capital allocation
  • Consider break-up value

Deliverable: SOTP valuation with segment breakdown

Quick Reference

ActionCommand/Trigger
DCF valuation"Perform DCF analysis"
Comparables"Value using comparable companies"
Transactions"Analyze precedent transactions"
Startup value"Value this startup"
SOTP"Sum-of-the-parts valuation"
Full analysis"Complete valuation analysis"

Valuation Multiples Reference

By Industry (EV/EBITDA Ranges)

IndustryRangeNotes
Software/SaaS15-30xRevenue multiples also common
Healthcare10-15xVaries by sub-sector
Consumer Retail6-10xLocation matters
Manufacturing6-10xAsset intensity varies
Financial ServicesP/B or P/EBook value focus
Energy4-8xCommodity sensitive
Real EstateCap rateNOI based
Media8-15xContent value matters

SaaS Revenue Multiples

Growth RateARR Multiple
< 20%3-6x
20-40%6-10x
40-60%10-15x
60-100%15-25x
> 100%25x+

Common Adjustments

AdjustmentApplication
Illiquidity discountPrivate companies (20-35%)
Control premiumAcquisitions (20-40%)
Size premiumSmall companies (add to WACC)
Country riskEmerging markets (add to WACC)
Minority discountNon-control stakes (15-30%)

DCF Template

# DCF Valuation: [Company Name]

## Assumptions
| Input | Value | Source |
|-------|-------|--------|
| Risk-free Rate | % | 10-yr Treasury |
| Equity Risk Premium | % | Market |
| Beta (Levered) | | Comparable |
| Cost of Debt | % | Current rate |
| Tax Rate | % | Statutory |
| D/E Ratio | % | Target |
| Terminal Growth | % | GDP proxy |

## WACC Calculation
Cost of Equity: %
Cost of Debt (after-tax): %
WACC: %

## Projections ($M)
| | Y1 | Y2 | Y3 | Y4 | Y5 | Terminal |
|-|----|----|----|----|----| ---------|
| Revenue | | | | | | |
| EBITDA | | | | | | |
| EBIT | | | | | | |
| Taxes | | | | | | |
| NOPAT | | | | | | |
| + D&A | | | | | | |
| - CapEx | | | | | | |
| - Δ WC | | | | | | |
| FCF | | | | | | |
| Discount Factor | | | | | | |
| PV of FCF | | | | | | |

## Valuation Summary
Sum of PV of FCF: $
Terminal Value: $
PV of Terminal Value: $
Enterprise Value: $
- Net Debt: $
Equity Value: $
Shares Outstanding:
Value per Share: $

## Sensitivity Analysis
[WACC vs Terminal Growth matrix]

Best Practices

Methodology Selection

  • Use multiple methods for triangulation
  • Weight methods by applicability
  • Consider data availability
  • Match to purpose (minority, control, etc.)

Assumption Setting

  • Ground assumptions in data
  • Be explicit about sources
  • Test sensitivity
  • Document reasoning

Presentation

  • Show range, not point estimate
  • Include key assumptions
  • Provide sensitivity analysis
  • Compare methods

Integration with Other Skills

  • Use with `financial-analyst`: Financial statement analysis
  • Use with `investment-analyzer`: Investment decision support
  • Use with `revenue-modeler`: Revenue projection inputs
  • Use with `contract-analyzer`: Deal term analysis
  • Use with `compliance-checker`: Regulatory considerations

Common Pitfalls to Avoid

  • Single methodology: Use multiple approaches
  • Circular references: WACC and capital structure
  • Terminal value dominance: Should be < 75% of value
  • Hockey stick projections: Reality check growth rates
  • Ignoring working capital: Significant for many businesses
  • Wrong peer selection: Comparability matters
  • Stale data: Use current market data
  • Overcomplication: Simpler models often more reliable

Related skills

Finance & Tradingfinancepricingecommerce

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