PE returns come from three places, and only three. The buyer pays X today, sells for Y in five years, and the difference came from some mix of multiple expansion (the market revalued the asset), EBITDA growth (the company got bigger or more profitable), and debt paydown (the equity grew because the debt shrank). Reading the returns bridge tells you what kind of fund you are looking at.
The returns bridge
Decompose the equity-value creation: multiple expansion = (exit multiple − entry multiple) × entry EBITDA. EBITDA growth = (exit EBITDA − entry EBITDA) × exit multiple. Debt paydown = (entry debt − exit debt). The three sum to total equity value created (with a small cross-term). Plot it as a stacked bar; every IC sees this chart.
A buy-and-build SaaS deal might bridge: 70% EBITDA growth, 20% debt paydown, 10% multiple expansion. A 2009 vintage industrial deal might bridge: 40% EBITDA growth, 40% multiple expansion (recovering from the downturn), 20% debt paydown. The bridges look like the strategies they came from.
Operating levers, named
Revenue growth: pricing increases, new product launches, geographic expansion, channel expansion, sales-force productivity. Margin improvement: procurement, manufacturing efficiency, SG&A reduction, technology automation, working-capital reduction. Mix: shifting toward higher-margin product or customer segments. M&A: bolt-ons that expand revenue, expand margins, or both. Each lever is specific, measurable, and assigned to an owner in the 100-day plan.
Multiple expansion as strategy
The cleanest source of multiple expansion is positioning a sub-scale asset into a category for which the public or strategic-buyer market awards a higher multiple. Examples: building a software portfolio out of services + tech tuck-ins (services trade at 1x revenue, software at 6x); aggregating regional providers into a national platform (regional 6x EBITDA, national 10x); transforming a B2B mid-market into a recurring-revenue B2B SaaS multi-tenant platform.
But multiple expansion as a standalone thesis is a dangerous bet at most points in the cycle. Buyout multiples have ranged from 7x in 2002 to 14x in 2021. A thesis whose primary lever is 'we will sell at a higher multiple than we paid' is a thesis on the cycle, not on the company.