Fundamentals & Valuation

comparable-company-analyzer

The Comparable Company Analyzer automates public company peer selection, trading multiple computation, and valuation benchmarking to produce reproducible relative valuation outputs.

45 天前更新1 分鐘內設定完

總覽

The Comparable Company Analyzer automates public company peer selection, trading multiple computation, and valuation benchmarking to produce reproducible relative valuation outputs.

The Comparable Company Analyzer automates public company peer selection, trading multiple computation, and valuation benchmarking to produce reproducible relative valuation outputs. Key features include industry and size screening, geographic and business-model alignment, and growth/margin profile matching to build a relevant peer universe. It calculates enterprise and price multiples (EV/EBITDA, EV/Revenue, P/E, P/B, PEG), adjusts diluted shares and net debt, and normalizes LTM and NTM metrics with calendarization, non-recurring item and stock-compensation adjustments. Built-in outlier detection and IQR analysis support transparent inclusion/exclusion rationale. Outputs include football-field charts, implied valuation bands, enterprise-to-equity bridges, sensitivity analyses, and presentation-ready benchmark reports. Common use cases are equity research, M&A and fairness opinions, sell-side comps, corporate finance benchmarking, and investor decks, offering consistent, auditable, and time-saving valuation workflows.

Skill.md

這個 Skill 如何運作

The Comparable Company Analyzer automates public company peer selection, trading multiple computation, and valuation benchmarking to produce reproducible relative valuation outputs.

SKILL.mdALPHIO / 已驗證

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

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

最適合用於

何時使用

The Comparable Company Analyzer automates public company peer selection, trading multiple computation, and valuation benchmarking to produce reproducible relative valuation outputs.