fsi-comps-analysis

Build comparable company analyses in Excel with valuation multiples and statistical benchmarks.

17|4|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/yuping322/financial-services-plugins-new --skill fsi-comps-analysis-yuping322
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fsi-comps-analysis
Source: https://github.com/yuping322/financial-services-plugins-new/tree/main/financial-analysis/skills/comps-analysis
Command: npx skills add https://github.com/yuping322/financial-services-plugins-new --skill fsi-comps-analysis-yuping322

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps investment professionals produce auditable, institutional-quality comparable company analyses by standardizing operating metrics, valuation multiples, and statistical benchmarking into a single spreadsheet output.

Core Features & Use Cases

  • Data source hierarchy & auditability: Prioritizes MCP providers (S&P Kensho, FactSet, Daloopa) and documents sources with hyperlinks and cell comments for traceability.
  • Structured Excel output: Builds headers, operating metrics, valuation multiples, and statistic blocks (max, 75th, median, 25th, min) with cross-referenced formulas and consistent units.
  • Decision-focused metrics: Provides industry-tailored metric selection (e.g., Rule of 40 for SaaS, ROE for banks) and a 5–10 metric discipline to avoid noise.
  • Quality controls & methodology: Includes sanity checks, formatting conventions, documentation requirements, and versioning practices for production use.

Quick Start

Ask the skill to create a comparable company analysis Excel file for [Target Company] against [Peer1, Peer2, Peer3] using MCP data where available and include statistic rows and source citations.

Frequently Asked Questions about fsi-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 with statistical benchmarks?

The process prioritizes institutional data sourcing through MCP providers like S&P Kensho, FactSet, or Daloopa to populate operating metrics and valuation multiples. It then applies dynamic Excel formulas to calculate ratios and statistical quartiles, documenting all source citations with hyperlinks and cell comments for traceability.

What metrics should I include for SaaS or banking sector comps?

Sector benchmarking requires industry-tailored metric selection, such as Rule of 40 for SaaS companies and ROE for banks, maintaining a disciplined 5 to 10 metric framework. This avoids noise and provides decision-focused operating metrics and valuation multiples for public company valuation and M&A diligence.

Can I use FactSet or Daloopa MCP data for Excel financial modeling?

Yes, you can use FactSet or Daloopa MCP data for Excel financial modeling within your comparable company analysis. The framework prioritizes these institutional data sources to cross-reference operating metrics and ensures all data is documented with hyperlinks and cell comments for auditability.

What is the best way to ensure auditable source citations in a comps valuation model?

The best way to ensure auditable source citations in a comps valuation model is to document data sources with hyperlinks and cell comments directly in Excel. This methodology includes sanity checks, formatting conventions, and versioning practices to maintain production-quality traceability for investment committees.

Does comparable company analysis work for IPO pricing and M&A diligence?

Comparable company analysis works effectively for IPO pricing and M&A diligence by quantifying operating metrics and valuation multiples across peer companies. It applies statistical benchmarking to establish sector baselines, making it suitable for public company valuation and funding pricing across industries with available market data.