comps-analysis

Build comparable company analyses with operating metrics and valuation multiples.

Updated Jun 5, 2026

Search Tags:#investment #Excel #financial analysis #valuation #comparable company analysis

Ready to run

npx skills add https://github.com/Duzhenyang111/stock_money --skill comps-analysis-duzhenyang111

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: comps-analysis
Source: https://github.com/Duzhenyang111/stock_money/tree/main/financial-services-main/plugins/vertical-plugins/financial-analysis/skills/comps-analysis
Command: npx skills add https://github.com/Duzhenyang111/stock_money --skill comps-analysis-duzhenyang111

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 creation of professional-grade comparable company analyses, saving time and reducing errors in investment decision-making.

Core Features & Use Cases

Comparable Company Analysis: Build detailed analyses with operating metrics, valuation multiples, and statistical benchmarking.
Data Sources: Prioritizes verified institutional data sources over web search for accuracy.
Customizable Templates: Use provided templates for industry-specific analysis and customization.
Use Case: Use this Skill to analyze public company valuations, benchmark performance against peers, or prepare investment presentations.

Quick Start

Run the 'comps-analysis' skill with the required data inputs and 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 for investment valuation?▼

To build a comparable company analysis in Excel, this Skill automates operating metrics, valuation multiples, and statistical benchmarking. It prioritizes verified institutional data sources for accuracy and outputs directly to spreadsheet format.

What is the best way to benchmark public company valuations against peers?▼

Benchmarking public company valuations against peers is best handled by generating statistical benchmarking data and customized multiples. This Skill uses institutional-grade comparable company analysis to provide accurate peer performance comparisons for investment presentations.

Do I need Excel to generate comparable company analysis output?▼

Yes, you need Excel or compatible spreadsheet software to generate the comparable company analysis output. The Skill utilizes the openpyxl dependency to build and execute institutional-grade financial analysis in spreadsheet format.

Can I use web search data for financial analysis and valuation multiples?▼

You can use web search data, but this Skill prioritizes verified institutional data sources for financial analysis and valuation multiples. This approach ensures higher accuracy and reduces errors in investment decision-making compared to standard web data.

Does openpyxl support statistical benchmarking for operating metrics?▼

Yes, openpyxl supports statistical benchmarking for operating metrics by generating formatted Excel files. This Skill leverages openpyxl to execute institutional-grade comparable company analyses and output the calculated metrics directly into spreadsheets.

What are the limitations of automating comparable company analysis?▼

Limitations of automating comparable company analysis include the strict requirement for Excel or compatible spreadsheet software for output generation. Additionally, accurate operating metrics and valuation multiples depend heavily on accessing verified institutional data sources.