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Comparable company analyzer

Skill a5c-ai/babysitter/library/specializations/domains/business/finance-accounting/skills/comparable-company-analyzer

Public company comparable analysis skill with peer selection, multiple calculation, and football field visualizationFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill comparable-company-analyzer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

3.1 KB, 485 tokens by cl100k_base, as published. Nobody here has run it

Comparable Company Analyzer

Overview

The Comparable Company Analyzer skill provides comprehensive public company trading analysis capabilities. It enables peer universe selection, trading multiple calculation, and valuation benchmarking through systematic comparable analysis.

Capabilities

Peer Universe Selection

  • Industry classification screening
  • Size parameter filtering
  • Geographic focus alignment
  • Business model similarity
  • Growth profile matching
  • Margin profile comparison

Trading Multiple Calculation

  • Enterprise value multiples (EV/EBITDA, EV/Revenue)
  • Price multiples (P/E, P/B, PEG)
  • Industry-specific metrics
  • Adjusted metrics calculation
  • Diluted share counts
  • Net debt calculation

LTM and NTM Metric Normalization

  • Last twelve months calculation
  • Next twelve months estimates
  • Calendarization adjustments
  • Non-recurring item adjustment
  • Stock compensation normalization
  • Pro forma adjustments

Outlier Identification

  • Statistical outlier detection
  • Interquartile range analysis
  • Company-specific explanation
  • Inclusion/exclusion rationale
  • Sensitivity to outliers
  • Documentation requirements

Football Field Chart Generation

  • Multiple methodology ranges
  • Implied valuation bands
  • Median and mean markers
  • Current trading position
  • Historical trading context
  • Presentation formatting

Equity Value Bridge

  • Enterprise to equity value
  • Debt deduction
  • Cash addition
  • Minority interest
  • Preferred stock
  • Other adjustments

Usage

Trading Comparables Analysis

Input: Target company, selection criteria, market data
Process: Build peer universe, calculate multiples, determine range
Output: Comparable company analysis, implied valuation, benchmark report

Relative Valuation

Input: Target metrics, comparable multiples, adjustments
Process: Apply multiples, bridge to equity value
Output: Valuation range, sensitivity analysis, peer positioning

Integration

Used By Processes

  • Comparable Company Analysis
  • M&A Financial Due Diligence
  • Discounted Cash Flow (DCF) Valuation

Tools and Libraries

  • Capital IQ API
  • FactSet
  • Bloomberg Terminal
  • Financial databases

Best Practices

  1. Document peer selection rationale
  2. Use consistent data sources across peers
  3. Adjust for non-recurring items consistently
  4. Consider trading liquidity in weighting
  5. Update analysis for market movements
  6. Cross-check against transaction multiples

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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