comps-analysis

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

Updated Jun 26, 2026
One-click install
npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill comps-analysis-nitish-gitbit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/NITISH-gitbit/hermes-custom/tree/main/optional-skills/finance/comps-analysis
Command: npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill comps-analysis-nitish-gitbit

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 automates the process of building comparable company analyses in Excel, providing a streamlined approach to financial modeling and valuation.

Core Features & Use Cases

  • Comparable Company Analysis: Automates the creation of structured Excel sheets for peer comparison.
  • Financial Metrics: Calculates operating metrics, valuation multiples, and statistical benchmarks.
  • Use Case: Ideal for investment banking, IPO pricing, sector benchmarking, and outlier detection, this Skill can quickly generate a detailed analysis of public companies' financial performance.

Quick Start

Use the comps-analysis skill to generate a comparable company analysis for a set of companies, specifying the data sources and analysis parameters.

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 using Python?

You can build a comparable company analysis in Excel by using this Skill to calculate operating metrics, valuation multiples, and statistical benchmarks directly within .xlsx files. It automates the creation of structured sheets for peer comparison.

Can I calculate valuation multiples and statistical benchmarks in Excel without manual formulas?

Yes, this Skill calculates valuation multiples and statistical benchmarks automatically. It leverages openpyxl to manipulate Excel files in-memory, generating financial models without requiring manual formula entry.

Do I need openpyxl to generate financial models for peer comparison?

Yes, openpyxl is a required dependency for this Skill. It provides the in-memory manipulation capabilities needed to generate and format the .xlsx files used for comparable company analysis.

What is the best way to automate comparable company analysis for investment banking tasks?

The best way to automate comparable company analysis for investment banking is to use this Skill, which generates structured Excel sheets with operating metrics and valuation multiples for sector benchmarking and IPO pricing.

Does this comparable company analysis tool work with the excel-author skill?

Yes, this Skill assumes the presence of the excel-author skill for formatting and scripting. It relies on this integration to properly structure and format the generated Excel financial models.

Can I use Python to detect sector outliers and benchmark public companies in Excel?

Yes, this Skill is designed for sector benchmarking and outlier detection. It calculates statistical benchmarks and operating metrics for public companies and outputs the results directly to Excel.