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Converting EBITDA Multiples into Hurdle Rates

Authors: Michael Sack Elmaleh;

Converting EBITDA Multiples into Hurdle Rates

Abstract

<div> <span>Setting a market-derived EBITDA multiple equal to the discounted cash flow expression for the same enterprise value and canceling EBITDA from both sides yields a simple bridge equation: M = f ÷ (WACC − g), where M is the EBITDA multiple, f is the ratio of free cash flow to EBITDA, g is the long-run growth rate, and WACC is the required rate of return. The equation converts in either direction: a known market multiple implies a specific hurdle rate, and a known hurdle rate implies the multiple that income and market approaches must agree on.&nbsp;</span> </div> <div> <span><br></span> </div> <div> <span>The bridge equation reframes the market approach as a hurdle rate discovery exercise rather than a comparability exercise. Every arm's-length EBITDA transaction embeds a required return; the bridge equation extracts it. When that embedded rate is applied in the income approach, the two methods reconcile by construction. When the income approach uses a rate inconsistent with any documented buyer class, the bridge equation identifies the source of the disconnect — not the math, but the input.&nbsp;</span> </div> <div> <span><br></span> </div> <div> <span>The article derives the equation, illustrates its application in both directions, develops a practitioner framework for its use, and examines what it reveals about standard CAPM build-up methodology when applied to closely held business valuation.</span> </div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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