comps-analysis

Build a comparable company analysis spreadsheet with formula-driven Excel cells.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Comparable company analysis turns raw peer financials into valuation-ready operating metrics, multiples, and peer distribution statistics for investment decisions.

Core Features & Use Cases

  • Excel comps model builder (headless): Produces a structured .xlsx comparable company analysis using Excel formulas and a transparent sheet layout.
  • Operating metrics + valuation multiples: Computes margins, growth rates, and valuation ratios, with quartile/median benchmarking across the peer set.
  • Data-source governance for reliability: Prioritizes configured MCP financial-data sources (S&P Kensho, FactSet, Daloopa) and discourages web search when MCP is available.
  • Auditability requirements: Enforces formula-over-hardcodes, adds source comments for raw inputs, and requires step-by-step verification before completing the full model.
  • Integration with other Hermes Excel skills: Designed to follow the conventions of the excel-author skill and uses its recalc workflow.

Quick Start

Run the comps-analysis skill to create a comparable company analysis spreadsheet for a selected peer group and valuation question.

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 model in Excel?

Building a comparable company analysis spreadsheet involves combining operating metrics, valuation multiples, and peer-set benchmarking. It computes margins and growth rates with quartile and median benchmarking for public-company valuation and IPO pricing.

What is the best way to calculate valuation multiples for peer benchmarking?

Calculating valuation multiples for peer benchmarking requires pulling raw financial data into Excel and computing margins, growth rates, and ratios. Using formula-driven cells with source-cited hard inputs ensures transparent quartile and median benchmarking.

Can I generate an Excel comps model without opening the spreadsheet application?

You can generate a comparable company analysis spreadsheet using headless Excel generation. This produces a structured .xlsx file containing formula-driven operating metrics and valuation multiples without needing to open the Excel application.

Does the comps analysis skill support financial data sourcing from MCP providers?

The comparable company analysis workflow prioritizes configured MCP financial-data sources such as S&P Kensho, FactSet, and Daloopa. It discourages web search when MCP is available to maintain data reliability and governance for valuation multiples.

How do I ensure auditability when creating investment banking Excel models?

Ensuring auditability in investment banking Excel models requires enforcing formula-over-hardcodes and adding source comments for raw inputs. Step-by-step verification must be completed before finalizing the comparable company analysis spreadsheet.

What are the limitations of using openpyxl for financial modeling?

Using openpyxl for financial modeling requires following headless Excel generation conventions and specific recalc workflows. Limitations include reliance on configured MCP financial-data sources to prevent unverified web search data from entering the valuation multiples.