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comps-analysis

Automate comparable company analyses in Excel with financial modeling techniques.

2|Updated Jun 8, 2026
Search Tags:#Excel#financial analysis#valuation#investment banking#comparable company analysis
One-click install
npx skills add https://github.com/vikrant-project/devil-agent-ai-platform --skill comps-analysis-vikrant-project
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/vikrant-project/devil-agent-ai-platform/tree/main/agent_core/optional-skills/finance/comps-analysis
Command: npx skills add https://github.com/vikrant-project/devil-agent-ai-platform --skill comps-analysis-vikrant-project

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of professional, institutional-grade comparable company analyses in Excel, saving time and reducing errors in financial analysis.

Core Features & Use Cases

  • Comparable Company Analysis: Generate comprehensive analyses including operating metrics, valuation multiples, and statistical benchmarking.
  • Data Accuracy: Ensures accuracy by prioritizing institutional-grade data sources like S&P Kensho MCP, FactSet MCP, and Daloopa MCP.
  • Customization: Supports user preferences and industry-specific metrics, with options for ARR, Net Dollar Retention, and Rule of 40 for SaaS companies.
  • Use Case: For investment banking professionals analyzing potential investments, this Skill can quickly produce a detailed analysis of comparable companies, providing insights into valuation and growth.

Quick Start

Run the 'comps-analysis' skill with the following command: /comps-analysis --input ./data/comps_data.xlsx

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 investment banking?▼

Automating comparable company analysis in Excel is achieved by running this Skill, which integrates institutional-grade data sources and applies financial modeling techniques to generate operating metrics, valuation multiples, and statistical benchmarking.

What is the best way to generate valuation multiples for SaaS companies in Excel?▼

Generating SaaS valuation multiples in Excel is best handled by a comparable company analysis automation tool that supports industry-specific metrics like ARR, Net Dollar Retention, and Rule of 40 alongside standard financial modeling techniques.

Does this comparable company analysis automation work with openpyxl for Excel manipulation?▼

This comparable company analysis automation requires openpyxl for .xlsx file manipulation and data analysis, ensuring it can read input data and write institutional-grade financial models directly into Excel.

Can I use FactSet and Daloopa data sources for building financial models in Excel?▼

You can use FactSet, Daloopa, and S&P Kensho data sources for building financial models in Excel, as this Skill prioritizes these institutional-grade data providers to ensure data accuracy in comparable company analysis.

What are the limitations of using Excel for comparable company analysis automation?▼

Limitations of using Excel for comparable company analysis automation include relying on the openpyxl library for .xlsx manipulation, which requires data to be properly formatted in Excel files before running the financial modeling and statistical benchmarking processes.

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