Private Equity Value Creation Analysis: Volume I: A Technical Handbook for the Analysis of Private Companies and Portfolios, Reinard Michael David

Private Equity Value Creation Analysis is a comprehensive handbook for the analysis of private companies and portfolios. Its framework quantifies how leverage, valuation, company P&Ls, market and industry trends, and other factors drive equity returns. Such analyses are used by private equity and venture capital fund managers to explain their approaches to buying and selling companies and by institutional investors to validate them.

Specifically designed for the particularities of private equity ownership, the books value creation models are mathematically rigorous and based on metrics that are practical and accessible (i.e., those generally found in fund manager reporting and marketing materials). Formulas are built to function over the widest range of company, industry, and market conditions and provide intuitive and non-volatile results.

Volume I: Theory describes more than two dozen value creation components, with over 200 formulas and 60 step-by-step examples intended to help analysts build and error-check their own value creation models. Demonstrations are supported by more than 80 data tables and 35 figures and graphs. This volume describes:

• Value creation driven by changes in EBITDA, revenue, and margins
• Market and company-specific multiple expansion
• Five ways to measure the impact of leverage
• Shareholder-specific value creation components
• Value creation alternatives to Public Market Equivalence
• Adjustments for add-on acquisitions, dividend recapitalizations, and other holding period events
• Models for measuring private company and portfolio Net Returns, including Net IRRs, without time series data or complicated cash flow models

Private Equity Value Creation Analysis is essential reading for fund managers seeking to tell more credible, data-driven stories about their private company investments and institutional investors seeking to validate whether those narratives are supported by the numbers.