comps-analysis

Generate comparable company analyses in Excel with operating metrics and valuation multiples.

1|Updated May 21, 2026
One-click install
npx skills add https://github.com/blueskies1818/hermesALIone --skill comps-analysis-blueskies1818
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/blueskies1818/hermesALIone/tree/main/Agent/optional-skills/finance/comps-analysis
Command: npx skills add https://github.com/blueskies1818/hermesALIone --skill comps-analysis-blueskies1818

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of comprehensive comparable company analyses in Excel, streamlining the process of financial analysis and valuation for public companies.

Core Features & Use Cases

  • Comparable Company Analysis: Build analyses with operating metrics, valuation multiples, and statistical benchmarking.
  • Excel Integration: Outputs structured Excel/spreadsheet for peer comparison and informed investment decisions.
  • Use Case: For an investment analyst looking to compare financial metrics of multiple companies in the tech industry, this Skill can quickly generate a detailed analysis to support valuation decisions.

Quick Start

Run the skill with the 'comps-analysis' command and provide the list of companies and the period for analysis.

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 for public company valuation?

To generate comparable company analysis in Excel, you need to run the skill with a specified list of companies and the analysis period. It then integrates financial data to calculate operating metrics and valuation multiples for peer benchmarking.

How do I generate valuation multiples and operating metrics for peer benchmarking?

Generating valuation multiples and operating metrics for peer benchmarking involves integrating financial data sources and performing automated calculations. This yields structured Excel spreadsheets that provide statistical benchmarking for comparable public companies.

Do I need pandas and openpyxl to build financial analysis spreadsheets with this tool?

Yes, pandas and openpyxl are required dependencies for data manipulation and calculation when generating financial analysis spreadsheets. The workflow also assumes using the excel-author skill for final Excel operations and output generation.

Does this comparable company analysis tool support statistical benchmarking for investment decisions?

Yes, the tool supports statistical benchmarking for investment decisions by calculating operating metrics and valuation multiples across selected public companies. It outputs a structured Excel spreadsheet to facilitate peer comparison and informed valuations.

What is the best way to structure comparable company analysis outputs for tech industry peers?

The best way to structure comparable company analysis outputs for tech industry peers is to generate an Excel spreadsheet integrating operating metrics, valuation multiples, and statistical benchmarking. This provides a comprehensive view for valuation decisions.