comps-analysis

Generate comparable company analyses in Excel with financial metrics and benchmarks.

1|1|Updated May 25, 2026
One-click install
npx skills add https://github.com/aayushsoam/clawbot-agent --skill comps-analysis-aayushsoam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/aayushsoam/clawbot-agent/tree/main/optional-skills/finance/comps-analysis
Command: npx skills add https://github.com/aayushsoam/clawbot-agent --skill comps-analysis-aayushsoam

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of creating institutional-grade comparable company analyses in Excel, enabling users to make more informed investment decisions through peer comparison.

Core Features & Use Cases

  • Comparable Company Analysis: Combines operating metrics, valuation multiples, and statistical benchmarking.
  • Excel Integration: Outputs structured Excel/spreadsheet for peer comparison.
  • Use Case: Ideal for public-company valuation, IPO pricing, sector benchmarking, or outlier detection.

Quick Start

Use the comps-analysis skill to generate a comparable company analysis for the companies 'Apple', 'Microsoft', and 'Amazon' as of Q4 2024.

Frequently Asked Questions about comps-analysis

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

FAQPage Schema
How do I automate comparable company analysis in Excel?

Automating comparable company analysis in Excel involves extracting financial data, calculating valuation multiples and operating metrics, and generating statistical benchmarks. This Skill uses openpyxl to output a structured spreadsheet for peer comparison and investment valuation.

What is comparable company analysis used for in investment banking?

Comparable company analysis is used for public-company valuation, IPO pricing, sector benchmarking, and outlier detection. It combines operating metrics with valuation multiples to provide statistical benchmarks that enable informed investment decisions through peer comparison.

Does this comparable company analysis tool require openpyxl?

Yes, openpyxl is required as a dependency to generate the Excel-based comparable company analysis. You also need access to external financial data sources to supply the operating metrics and valuation multiples for the target peer group.

Can I use Excel for peer comparison and sector benchmarking?

Yes, Excel is suitable for peer comparison and sector benchmarking. This Skill extracts financial data to calculate metrics and outputs a structured spreadsheet, combining operating metrics and valuation multiples with statistical benchmarking for institutional-grade analysis.

What is the best way to generate statistical benchmarks for peer valuation?

The best way to generate statistical benchmarks for peer valuation is to automate the extraction of financial data and calculation of multiples. This Skill generates statistical benchmarks directly in Excel, combining operating metrics and valuation multiples for sector analysis and outlier detection.