§ 01
| Entry Multiple ↓ / Exit → | 8x Exit | 9x Exit | 10x Exit |
|---|---|---|---|
| 7x Entry | 2.1x / 16% IRR | 2.4x / 19% IRR | 2.8x / 23% IRR |
| 8x Entry | 1.8x / 12% IRR | 2.1x / 16% IRR | 2.4x / 19% IRR |
| 9x Entry | 1.5x / 8% IRR | 1.8x / 12% IRR | 2.1x / 16% IRR |
§ 02
If your returns depend on multiple expansion (buying at 8x and selling at 10x), you’re betting on market conditions, not operational improvement. The best LBOs deliver target returns even with flat or compressed multiples.
§ 03
Build a simple sensitivity table: How does the equity return change if you pay 7x vs. 9x entry, and exit at 8x vs. 10x? Which variable has the largest impact?
§ 04
An LBO returns 2.5x only if the exit multiple expands from 8x to 11x. The same deal returns 1.3x at flat multiples. Is this a good deal?
§ 05
§ 06
LBO sensitivity: base case 25% IRR. At 15% EBITDA decline: 5% IRR. At 25% EBITDA decline: negative equity return. How should PE firm think about this?
Five questions · AI feedback
Sit with the ideas.
An LBO model shows these IRR outcomes across scenarios: Base case (8x entry, 8x exit, 5% growth): 22% IRR. Downside (8x entry, 7x exit, 0% growth): 8% IRR. Stress (8x entry, 6x exit, -5% EBITDA): -3% IRR. The PE firm's fund minimum IRR threshold is 15%. Should they proceed?
Why: