LBO Modeling

LBO Modeling

LBO Modeling is used to value a leveraged buyout (LBO) transaction where a target company is acquired using a significant amount of debt. The use of high leverage increases the potential returns on investors’ equity investments in the long-run. An LBO model is usually built in Excel to help investors properly evaluate the transaction and realize the highest possible risk-adjusted internal rate of return (IRR).

Corporate Finance Institute® covers LBO modeling and transactions in-depth in our Leveraged Buyout (LBO) Financial Modeling Course!

Steps to LBO Modeling

The following steps are essential to building a thorough and insightful LBO model:

1. Assumptions

Before building the LBO model, assumptions need to be made on inputs, including financing, operating metrics of the business, sources, and uses of cash, purchase price allocation, and operating scenarios.

Excel functions and formulas can be used to set up a drop-down list so that different results will be reflected in the later sections (such as the DCF model), as different scenarios are chosen.

2. Financial Statements

Once all the assumptions are laid out, the income statement, balance sheet, and cash flow statement are constructed and linked using historical data. Supporting schedules such as working capital and depreciation schedules are also built to calculate the corresponding line items on the financial statements.

Forecasting is then performed on the three financial statements based on the assumptions set up.

3. Transaction Balance Sheet

Before completing the full forecast on the financial statements, a transaction balance sheet needs to be built to show the pro forma balance sheet items after recapitalization. The transaction balance sheet lays out the total adjustments and capital structure of the business after the LBO transaction is completed. The closing pro forma balance sheet will flow back up to the balance sheet section to drive the forecasts.

4. Debt and Interest Schedules

The debt and interest schedules model the details of all layers of debt and interest payments associated with the LBO transaction, including line of credit, term loans, and subordinated debt. With the debt schedules completed, the rest of the linking can be done for the financial statements.

Corporate Finance Institute® covers LBO modeling and transactions in-depth in our Leveraged Buyout (LBO) Financial Modeling Course!

5. Credit Metrics

The credit metrics evaluate the repayment profile and look at how the company can service its debt obligations, including repayment of principal and interest. Key credit metrics in an LBO model include debt/EBITDA, interest coverage ratio, debt service coverage ratio, and fixed charge coverage ratio.

6. DCF and IRR

In the end, a DCF model is built with the forecasted data. The free cash flows are calculated for each of the investor types, which are then used to find out internal rates of return (IRR) and net present value (NPV) by investor type.

7. Sensitivity Analysis, Charts, and Graphs

Following the creation of the DCF model, sensitivity analysis can be performed to assess how the IRR will be affected when different independent variables change, holding all other assumptions unchanged.

Finally, charts and graphs can be created to present the change in cash flows and the amount of leverage over time.

Additional Resources

Thank you for reading CFI’s guide to LBO Modeling. Check out some of these resources below, including a course that can help you learn to model LBO transactions in more detail!

• Leveraged Buyout (LBO) Financial Modeling
• Leverage
• Debt to Equity Ratio
• LBO Terms and Definitions
• See all financial modeling resources