Returns Analysis

Model IRR/MOIC sensitivity tables for private equity deals and output Excel workbooks.

Updated May 10, 2026
One-click install
npx skills add https://github.com/rpoole-dev/comps-site --skill returns-analysis-rpoole-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Returns Analysis
Source: https://github.com/rpoole-dev/comps-site/tree/main/financial-services-main/plugins/vertical-plugins/private-equity/skills/returns-analysis
Command: npx skills add https://github.com/rpoole-dev/comps-site --skill returns-analysis-rpoole-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users quickly model and analyze IRR/MOIC sensitivity tables for private equity deal evaluation, streamlining the process of sizing up deals, stress-testing assumptions, and preparing investment committee returns exhibits.

Core Features & Use Cases

  • IRR/MOIC Sensitivity Analysis: Models returns across various scenarios including entry multiple, leverage, exit multiple, growth, and hold period.
  • Scenario Analysis: Builds 2-way sensitivity matrices and 3 scenario analysis tables for comprehensive deal evaluation.
  • Output: Generates an Excel workbook with assumptions, returns calculations, sensitivity tables, and scenario summaries.

Quick Start

Trigger the 'returns analysis' skill to begin modeling the returns for a private equity deal.

Frequently Asked Questions about Returns Analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I model IRR and MOIC sensitivity tables for private equity deal evaluation?

Private equity deal evaluation uses IRR and MOIC sensitivity tables to model returns by varying entry and exit multiples, leverage, growth rates, and hold periods. This process outputs an Excel workbook with assumptions and returns calculations for investment committee presentations.

How do you build a two-way sensitivity matrix for private equity returns?

A two-way sensitivity matrix for private equity returns models IRR and MOIC by varying two deal assumptions simultaneously, such as entry multiple and exit multiple. This generates a comprehensive matrix table suitable for stress-testing deal sizing and investment committee exhibits.

Can I generate Excel outputs for PE deal sizing and scenario analysis?

Yes, PE deal sizing and scenario analysis can generate Excel workbook outputs containing assumptions, returns calculations, 2-way sensitivity matrices, and 3 scenario analysis tables to comprehensively evaluate private equity deal returns.

What is the best way to stress-test leverage and growth assumptions for a PE deal?

To stress-test leverage and growth assumptions for a PE deal, model IRR and MOIC across various scenarios by varying entry and exit multiples, leverage, growth rates, and hold periods to produce sensitivity tables for deal evaluation.

Does this returns analysis approach require specific dependencies or platforms?

This returns analysis approach for modeling IRR and MOIC sensitivity tables requires no external dependencies, operating via standalone scripts to generate Excel formatted outputs for private equity deal evaluation.

When do I need scenario analysis tables for investment committee presentations?

Scenario analysis tables for investment committee presentations are needed when evaluating private equity deals to summarize IRR and MOIC returns across multiple leverage, growth, hold period, and entry and exit multiple assumptions in a structured Excel format.