comps-analysis

Assemble operating metrics, valuation multiples, and statistical benchmarks into an Excel workbook.

1|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/kiryteo/opencode-setup --skill comps-analysis-kiryteo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/kiryteo/opencode-setup/tree/main/skills/comps-analysis
Command: npx skills add https://github.com/kiryteo/opencode-setup --skill comps-analysis-kiryteo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format.

Core Features & Use Cases

  • Standardized peer evaluation: consistent metrics (Revenue, Gross Margin, EBITDA) and transparent multiples.
  • Template-driven outputs: audit-friendly Excel workbooks with built-in formulas and quartile statistics.
  • Contextual guidance: notes on data sources, methodology, and interpretation for investment decision-making.

Quick Start

Input peer data and run the template to generate a ready-to-use comps workbook.

Frequently Asked Questions about comps-analysis

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

FAQPage Schema
How do I build comparable company analysis with valuation multiples in Excel?

Comparable company analysis in Excel is generated by inputting standardized peer data into a template-driven workbook, which automatically calculates operating metrics, valuation multiples, and quartile statistics for benchmarking.

What financial metrics are needed for peer benchmarking in a comps workbook?

Peer benchmarking requires clearly sourced inputs like revenue and earnings, standardized time frames preferably using LTM data, to derive margins, growth rates, and transparent valuation multiples.

Can I use this comps analysis template for M&A diligence and portfolio monitoring?

Yes, this comps analysis template targets investment decision-making, M&A diligence, and portfolio monitoring by assembling operating metrics and statistical benchmarks across industry peers with a consistent data framework.

What is the best way to structure financial modeling data for comparable company analysis?

The best way to structure data for comparable company analysis is using standardized time frames with clearly sourced inputs, enabling formula-driven calculations that reference revenue and earnings to derive margins and multiples.

Does the comparable company analysis output include statistical benchmarks and audit trails?

Yes, the comparable company analysis output produces an audit-friendly Excel workbook with built-in formulas, quartile statistics, and contextual guidance notes on data sources and methodology for investment decision-making.