Private Equity Interviews
Practice Your Retail LBO Model Online
Stop practicing with dead answer keys. Upload your LBO Model to SheetRank and our AI engine will instantly audit your math, catch disguised hardcodes, and trace your root-cause errors.
Why Retail modeling is different
Store count roll-forwards, e-commerce penetration, and four-wall EBITDA margins are table stakes — lease obligations and remodel capex affect levered returns.
What a LBO Model actually tests
An LBO model tests whether you can size a sources & uses schedule, build a debt paydown / cash sweep, and solve for the sponsor's MoIC and IRR at exit — all while your entry multiple, leverage, and exit assumptions move independently. Interviewers use it to see if you understand what actually drives returns, not just whether you can fill in a template.
Common LBO Model interview questions
How do you calculate the sponsor's exit equity value?
Exit equity value = Exit Enterprise Value (Exit EBITDA × Exit Multiple) minus the debt balance remaining at exit. The debt balance itself depends on how much free cash flow got swept toward paydown each year, so you can't skip building the schedule — you have to actually track it year by year.
Walk me through a cash sweep mechanism.
Each year, free cash flow available for debt paydown (after mandatory amortization and interest) sweeps against the outstanding balance, subject to any minimum cash requirement. The ending balance carries into next year's beginning balance, and interest expense is typically calculated on the average of beginning and ending balance — which is what makes debt schedules circular.
What happens to IRR if you increase leverage?
Higher leverage lowers the sponsor's initial equity check, which mechanically increases MoIC and IRR for the same exit proceeds — up to the point where higher interest expense and required amortization start eating into the cash available to actually pay down debt and grow equity value.
What you get on SheetRank
- Live spreadsheet IDE — build from a blank grid, not a template
- Hidden-scenario grading with ±$1 and 0.01% cap rate tolerance
- Hardcode firewall that catches disguised constants like =LOG10(10)*90
- Root-cause error tracing through your formula dependency graph
- Leaderboard rankings to benchmark speed and accuracy
Practice this on a real deal
Project Apollo is a real, graded LBO Model on SheetRank — not a hypothetical.
Underwrite Project ApolloLooking for interview prep guides? Browse resources or explore the public leaderboard.