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comps-analysis

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

Updated May 10, 2026
Search Tags:#Excel#financial analysis#valuation#comparable company analysis#institutional-grade data
One-click install
npx skills add https://github.com/rpoole-dev/comps-site --skill comps-analysis-rpoole-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/rpoole-dev/comps-site/tree/main/financial-services-main/plugins/vertical-plugins/financial-analysis/skills/comps-analysis
Command: npx skills add https://github.com/rpoole-dev/comps-site --skill comps-analysis-rpoole-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of manually creating comparable company analyses, offering a streamlined process to generate high-quality, institutional-grade analyses in Excel format.

Core Features & Use Cases

  • Automated Analysis Creation: Build comprehensive analyses with operating metrics, valuation multiples, and statistical benchmarking.
  • Data Source Priority: Ensures the use of verified, institutional-grade data sources like S&P Kensho MCP, FactSet MCP, or Daloopa MCP.
  • Customizable Templates: Offers templates for different analysis needs, including public company valuation, benchmarking, and IPO pricing.

Quick Start

Activate the skill and provide the required data sources for a company analysis, such as revenue, EBITDA, and market cap.

Frequently Asked Questions about comps-analysis

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

FAQPage Schema
How do I generate a comparable company analysis in Excel with valuation multiples and statistical benchmarking?▼

This Skill automates building comparable company analyses in Excel by incorporating operating metrics, valuation multiples, and statistical benchmarking, using institutional-grade data sources rather than web search for accurate investment analysis.

What is the best way to build a comparable company analysis for IPO valuation using institutional-grade data?▼

The best way to build a comparable company analysis for IPO valuation is using customizable templates that integrate verified institutional data sources like FactSet MCP or Daloopa MCP, ensuring high-quality statistical benchmarking and operating metrics in Excel.

Do I need access to institutional data sources to run comparable company analysis?▼

Yes, you need access to institutional data sources like S&P Kensho MCP, FactSet MCP, or Daloopa MCP. This Skill prioritizes these verified data providers over web search to ensure institutional-grade operating metrics and valuation multiples for benchmarking.

Can I use pandas and openpyxl to create customized comparable company analysis templates for public company valuation?▼

Yes, you can use pandas and openpyxl to create customized comparable company analysis templates. This Skill leverages these dependencies to generate Excel spreadsheets supporting public company valuation, benchmarking, and IPO pricing use cases.

What are the limitations of using web search for comparable company analysis instead of institutional data?▼

Web search lacks the verified reliability needed for comparable company analysis. This Skill avoids web search limitations by requiring institutional-grade data sources, ensuring accurate operating metrics, valuation multiples, and statistical benchmarking for investment analysis.

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