comps-valuation

Official

Precise public comps valuations for decisions.

Authoropenai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Public-equity comps often lack a transparent, defensible framework for peer selection and valuation ranges. This skill automates the assembly of a core peer set, calculation of standard multiples, and generation of audit-ready outputs (reports or workbooks) with source provenance to support decision-making.

Core Features & Use Cases

  • Peer selection and rationale: Builds a defensible core/secondary/adjacent peer set with inclusion/exclusion notes.
  • Valuation read-through: Produces implied value ranges using common EV/Revenue, EV/EBITDA, and P/E analyses, with source citations.
  • Output artifacts: Generates both a polished standalone HTML comps report and a workbook-ready file with source logs, QA flags, and governance notes.
  • Use Case: Ideal for investment committees requiring traceable data and repeatable workflow across multiple targets.

Quick Start

Supply a target and a sourced peer set, then run the end-to-end comps workflow to generate a report or workbook-ready valuation.

Dependency Matrix

Required Modules

openpyxlXlsxWriter

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: comps-valuation
Download link: https://github.com/openai/role-specific-plugins/archive/main.zip#comps-valuation

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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