comps-valuation
OfficialPrecise 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
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
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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