Build Leveraged Buyout Model Advanced

Overview A private equity firm is evaluating the acquisition of a large, established wine business generating ~$1.0 billion in revenue and $250 million in EBITDA. The company operates in a stable industry with strong margins and consistent cash flow, making it well-suited for a leveraged buyout. The firm plans to use a mix of bank debt and senior notes to finance the deal, enhancing returns through leverage while maintaining financial discipline. After five years — a typical private equity holding period — the firm plans to exit at a higher multiple, with the key question being whether growth, strong margins, and debt paydown are sufficient to deliver an attractive return. Learning Goals Master LBO structure: Complete assumptions, sources & uses, and capital structure to understand the deal mechanics (Sources & Uses). Project company performance: Forecast financial statements (Income Statement, Balance Sheet, Cash Flow Statement) and calculate Levered Cash Flow to evaluate the company’s ability to service debt and generate equity returns. Analyze returns: Compute exit value, equity value, and IRR while understanding sensitivity to changes in key assumptions (Sensitivity Analysis). Key Concepts EBITDA: Core profitability metric used to assess company performance and debt capacity. Debt Schedule: Tracks principal, interest, and repayments over the investment period. Levered Cash Flow: Cash available to equity holders after servicing debt. Internal Rate of Return (IRR): Measures annualized return to equity investors. MOIC (Multiple on Invested Capital): Total cash returned to investors relative to their initial investment. Exit Valuation: Calculates the expected sale value of the company using EBITDA multiples at the end of the holding period.

Practice Build Leveraged Buyout Model Advanced with interactive Excel modeling exercises in our LBO Modeling module.

This hands-on modeling exercise helps you master Build Leveraged Buyout Model Advanced through real-world Excel practice and financial modeling techniques.