fsi-fa-cmd-comps

name	fsi-fa-cmd-comps
description	Build a comparable company analysis with trading multiples — usage: /comps [company name or ticker]
user-invocable	true
metadata	{}

Comparable Company Analysis Command

Build an institutional-grade comparable company analysis with operating metrics, valuation multiples, and statistical benchmarking.

Workflow

Step 1: Gather Company Information

If a company name or ticker is provided, use it. Otherwise ask:

• "What company would you like to analyze?"

Step 2: Load Comps Analysis Skill

Use skill: "comps-analysis" to build the analysis:

1. Clarify the analysis purpose:

   • "What's the key question?" (valuation, efficiency, growth comparison)
   • "Who is the audience?" (IC, board, quick reference)
   • "Do you have a preferred format or template?"

2. Identify peer group (4-6 comparable companies):

   • Similar business model
   • Similar scale/market cap range
   • Same industry/sector
   • Geographic comparability

3. Gather data (prioritize MCP sources if available):

   • Operating metrics: Revenue, Growth, Gross Margin, EBITDA, EBITDA Margin
   • Valuation: Market Cap, Enterprise Value, EV/Revenue, EV/EBITDA, P/E
   • Additional metrics based on industry (Rule of 40 for SaaS, etc.)

4. Build the analysis:

   • Operating Statistics section with company data + statistics (Max, 75th, Median, 25th, Min)
   • Valuation Multiples section with same statistical summary
   • Notes & Methodology documentation

Step 3: Create Excel Output

Generate Excel file with:

• Header block (analysis title, companies, date, units)
• Operating Statistics & Financial Metrics section
• Valuation Multiples section
• Statistical summary for each metric
• Notes section documenting sources and methodology

Step 4: Deliver Output

Provide:

1. Excel file (.xlsx) - the comps analysis
2. Summary highlighting:
   • Peer group selection rationale
   • Key insights (who trades at premium/discount)
   • Median multiples for reference

Output Format Reference

┌─────────────────────────────────────────────────────────────────┐
│ [SECTOR] - COMPARABLE COMPANY ANALYSIS                          │
│ [Company 1] • [Company 2] • [Company 3] • [Company 4]          │
│ As of [Date] | All figures in USD Millions                      │
├─────────────────────────────────────────────────────────────────┤
│ OPERATING STATISTICS & FINANCIAL METRICS                        │
├──────────┬─────────┬─────────┬──────────┬─────────┬────────────┤
│ Company  │ Revenue │ Growth  │ Gross    │ EBITDA  │ EBITDA     │
│          │ (LTM)   │ (YoY)   │ Margin   │ (LTM)   │ Margin     │
├──────────┼─────────┼─────────┼──────────┼─────────┼────────────┤
│ [Data rows for each company]                                    │
│                                                                 │
│ Maximum  │ =MAX    │ =MAX    │ =MAX     │ =MAX    │ =MAX       │
│ 75th %   │ =QUART  │ =QUART  │ =QUART   │ =QUART  │ =QUART     │
│ Median   │ =MEDIAN │ =MEDIAN │ =MEDIAN  │ =MEDIAN │ =MEDIAN    │
│ 25th %   │ =QUART  │ =QUART  │ =QUART   │ =QUART  │ =QUART     │
│ Minimum  │ =MIN    │ =MIN    │ =MIN     │ =MIN    │ =MIN       │
├─────────────────────────────────────────────────────────────────┤
│ VALUATION MULTIPLES                                             │
├──────────┬──────────┬──────────┬──────────┬───────────┬────────┤
│ Company  │ Mkt Cap  │ EV       │ EV/Rev   │ EV/EBITDA │ P/E    │
├──────────┼──────────┼──────────┼──────────┼───────────┼────────┤
│ [Data rows + statistics]                                        │
└─────────────────────────────────────────────────────────────────┘

Industry-Specific Metrics

Industry	Additional Metrics
Software/SaaS	ARR, Net Dollar Retention, Rule of 40
Retail	Same-store sales, Inventory Turns
Financials	ROE, ROA, Efficiency Ratio
Manufacturing	Asset Turnover, CapEx/Revenue
Healthcare	R&D/Revenue, Pipeline Value

Quality Checklist

Before delivery:

• 4-6 truly comparable companies
• Consistent time periods (all LTM or all FY)
• All formulas reference cells (no hardcoded values)
• Cell comments on all hardcoded inputs with sources
• Statistics include Max, 75th, Median, 25th, Min
• Notes section documents sources and methodology
• Blue = inputs, Black = formulas
• Sanity checks pass (margins logical, multiples reasonable)