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comps-analysis

Compare peer companies using operating metrics and valuation multiples in Excel.

Updated May 4, 2026
Search Tags:#openpyxl#excel#valuation#financial-modeling#multiples#comps-analysis#peer-analysis
One-click install
npx skills add https://github.com/Plaidmustache/hermes-nulab --skill comps-analysis-plaidmustache
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/Plaidmustache/hermes-nulab/tree/main/optional-skills/finance/comps-analysis
Command: npx skills add https://github.com/Plaidmustache/hermes-nulab --skill comps-analysis-plaidmustache

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Comps-analysis enables finance and investment teams to construct rigorous comparable company analyses directly in Excel, combining peer operating metrics, valuation multiples, and benchmarking to support pricing, M&A, and portfolio decisions.

Core Features & Use Cases

  • Builds institutional-grade peer comparisons using standardized inputs and transparent formulas.
  • Generates operating metrics (revenue, gross margin, EBITDA), valuation multiples (EV/Revenue, EV/EBITDA, P/E), and quartile statistics for peer benchmarking.
  • Used for public-company valuation, sector benchmarking, IPO pricing, and outlier detection with clear documentation and reproducible workflows.

Quick Start

Run the comps-analysis workflow to generate an Excel workbook from your peer data inputs.

Frequently Asked Questions about comps-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a comparable company analysis in Excel?▼

Comps-analysis builds comparable company analysis models in Excel by identifying peer companies, calculating operating metrics and valuation multiples, and generating quartile statistics for rigorous benchmarking.

What is the best way to benchmark peer valuation multiples like EV/EBITDA?▼

To benchmark peer valuation multiples like EV/EBITDA, this Skill calculates statistical quartiles and applies standardized formulas referencing input cells to ensure transparent, reproducible peer comparisons for investment decisions.

Can I use openpyxl to generate financial modeling workbooks for IPO pricing?▼

Yes, you can use openpyxl with comps-analysis to generate Excel workbooks for IPO pricing, applying standardized valuation multiples and statistical benchmarks to peer operating data.

Does this comparable company analysis approach preserve audit trails for M&A decisions?▼

Yes, this approach preserves audit trails by ensuring formulas reference input cells directly and documenting data sources, methodology, and period definitions within the workbook notes for M&A decisions.

Do I need external data sources for peer analysis or can I use Excel inputs?▼

You can use Excel inputs for peer analysis, but the workflow ensures data is sourced from MCPs when available and cited, maintaining institutional-grade rigor for outlier detection and sector benchmarking.

What are the limitations of using Excel for comparable company analysis?▼

Using Excel for comparable company analysis requires standardized inputs to maintain transparent formulas, and while it documents data sources and methodology, complex statistical modeling beyond quartile benchmarks may need specialized tools.

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