> ## Documentation Index
> Fetch the complete documentation index at: https://financecontext.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Comps Command

> Build a comparable company analysis -- learn why comparing companies to their peers is one of the most widely used valuation methods in finance.

# `/comps` -- Comparable Company Analysis

Comparable company analysis (often just called "comps") is the most intuitive valuation method in finance: **find companies similar to your target and see what the market is paying for them.** If Salesforce trades at 25x EBITDA and your target company has similar growth and margins, then maybe your target should trade at a similar multiple. Comps provide a market-based valuation anchor that complements intrinsic methods like DCF.

This command builds an institutional-grade comps sheet in Excel with operating metrics, valuation multiples, and statistical benchmarking -- the standard deliverable that investment banking analysts produce for deal teams, IC presentations, and client pitches.

For a deep dive into comps methodology (peer selection, multiples interpretation, industry-specific metrics), see the [Comps Analysis Skill](/en/financial-analysis/skills/comps-analysis) page.

## Command Syntax

```
/comps [company name or ticker]
```

**Examples:**

```bash theme={null}
/comps Salesforce
/comps CRM
/comps "enterprise software"
```

If no argument is provided, Claude will ask: *"What company would you like to analyze?"*

## What It Produces

1. **Excel file** (.xlsx) -- The comps analysis with operating statistics, valuation multiples, and statistical summary
2. **Written summary** -- Peer group rationale, key insights, and median multiples

## Workflow

<Steps>
  <Step title="Clarify the Analysis Purpose">
    Claude asks key questions because a comps sheet for an IC presentation looks different from one for a quick reference. This step ensures the right level of detail.
  </Step>

  <Step title="Identify Peer Group">
    Claude selects 4-6 comparable companies based on similar business model, scale, industry, and geography. Good peer selection is the foundation of useful comps.
  </Step>

  <Step title="Gather Data">
    Using available MCP sources (S\&P Global, FactSet, Daloopa preferred), Claude pulls operating metrics and valuation data for each peer.
  </Step>

  <Step title="Build the Analysis">
    Operating Statistics section with company data and statistical summary (Max, 75th, Median, 25th, Min), plus Valuation Multiples section with the same statistical treatment.
  </Step>

  <Step title="Deliver Output">
    Excel file and written summary highlighting peer group rationale and key insights.
  </Step>
</Steps>

## 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          |

## How to Customize for Your Firm

```bash theme={null}
# Install the plugin
claude plugin install financial-analysis@financial-services-plugins
```

Edit `skills/comps-analysis/SKILL.md` to add firm-specific peer selection rules, preferred metrics, or formatting conventions.

## Related

* [Comps Analysis Skill](/en/financial-analysis/skills/comps-analysis) -- Full Finance 101 explanation, methodology, formula patterns, and best practices
* [`/dcf` Command](/en/financial-analysis/commands/dcf) -- Build a DCF that uses comps to inform assumptions