What did Apollo publish about entry price and buyout returns?
A single chart sorting buyout fund vintages by what they paid. Apollo's Daily Spark of 9 September 2026, written by Torsten Slok, its chief economist, plots the 75th percentile multiple on invested capital for 2018 to 2023 fund vintages against the quartile of purchase price multiple those funds bought at.
The four bars read 3.6, 4.1, 4.6 and 5.5 times invested capital. The ladder is monotonic. Every step down in price bought a step up in outcome, and the distance between the two ends is 1.9 times. Apollo names McKinsey and Company as the source of the underlying data and adds that the cheapest quartile also beat the most expensive across the earlier 2010 to 2017 period, without publishing figures for that period.
The measure matters as much as the numbers. This is drawn at the 75th percentile, which means it is not comparing a good manager with a bad one. It is comparing the strong performers inside each price bucket with the strong performers inside every other price bucket. Hold skill roughly constant and the price paid still moves the result by 1.9 times.
One thing this chart is not: a statement about which year to transact in. A separate finding already covered on this site holds that vintage timing dominates strategy selection, on different data and different figures, and it is not re-argued here. This is the orthogonal cut. Fix the window at 2018 to 2023, so every fund in the sample faced broadly the same rate path and the same exit market, and sort only on price. The dispersion survives.
| Purchase price multiple quartile, as labelled on the chart | 75th percentile multiple on invested capital |
|---|---|
| 1st quartile | 3.6x |
| 2nd quartile | 4.1x |
| 3rd quartile | 4.6x |
| 4th quartile | 5.5x |
| Spread, 1st against 4th | 1.9x |
Why does entry price decide so much more than it used to?
Because the two things that used to rescue a high price have stopped arriving. Falling rates lifted asset values regardless of what an owner did with the business, and steadily expanding exit multiples meant a buyer could pay a full price and still sell at a fuller one. Neither is available now, and Apollo's own framing is that when the tailwinds go, the price you paid becomes the whole story.
That is consistent with something this site covered two days ago from the same publisher: multiple expansion has fallen to a small fraction of realized value on recent exits, and margin work never rose to replace it. Put the two charts side by side and the mechanism is plain. If the exit multiple will not be better than the entry multiple, then the entry multiple is not an opening position, it is a permanent feature of the return.
The arithmetic is unforgiving in a way that is easy to underrate. A buyer paying two turns more for the same earnings has to grow the business meaningfully further just to reach the same multiple of invested capital, and has to do it inside the same holding period, with the same management team, in the same market. There is no operating plan that reliably recovers two turns of entry price. That is why the ladder in the chart has no exceptions in it.
It also explains why the discipline shows up at the fund level rather than the deal level. Any individual expensive deal can work. What the chart measures is what happens across a whole vintage when a manager's habit is to pay up, and the answer is that the habit compounds into the fund result.
“Sellers read price discipline as a lack of enthusiasm. It usually is not. A buyer who has watched entry price decide the last two fund cycles will walk away from an asset they admire rather than pay a number that removes their own margin for error. The enthusiasm is real. The number is separate, and no amount of warmth in the room moves it.”
What does this mean for an owner selling a business?
That the highest price in the room is being underwritten harder than it used to be, and that arguing for it is the weakest available tool. A financial buyer looking at this evidence knows the price they pay is close to the whole of their result, so they will hold a number rather than stretch, and they will not be talked past it by a compelling story about the sector.
What moves a bid is not advocacy, it is the removal of reasons to discount. A buyer sets their price against the risks they can see and the risks they suspect. Customer concentration that is documented and explained costs less than concentration a buyer discovers in week six. Financial information that reconciles at the first request costs less than information that arrives in three versions. Every uncertainty a seller resolves before the offer is a reason for the discount to come out of the number rather than stay in it.
It also reframes what a competitive process is for. Running a proper process is not about finding a buyer willing to abandon price discipline, because on this evidence the good ones will not. It is about finding the buyer whose plan for the business genuinely supports a higher number, usually because they can do something with the asset that the others cannot. That is a different search, and it is the one that pays.
And it puts a real cost on drift. An owner who declines a disciplined offer in the hope that a less disciplined buyer appears is betting on the behaviour that this chart says produced the worst outcomes for a whole vintage of funds. Those buyers exist, but they are the ones most likely to fail diligence, struggle to finance, or renegotiate at the last moment, because the price they offered was never supportable.
What should a sponsor or an acquirer take from it?
That price discipline is a portfolio policy, not a deal-by-deal judgment. The chart is drawn across fund vintages, so what it rewards is a manager who is willing to lose competitive processes consistently. That is easy to state and hard to hold, because losing is visible immediately and the cost of winning badly only appears years later in the realization.
Underwrite the entry multiple as a constraint rather than an output. A model that solves for the price at which the deal clears the hurdle will always find one, because the growth assumption can absorb whatever the price demands. Setting the maximum price first, from comparable entries and from what the business is without a heroic plan, is the discipline the chart is measuring. Everything after that is negotiation about structure.
Where a seller's expectation genuinely exceeds a supportable price, the honest instrument is structure, not a higher headline. Deferred consideration, rollover equity and earnouts exist precisely to bridge a gap between a price a buyer can defend today and a value that depends on performance nobody can verify at signing. A buyer who bridges the gap by simply paying more has moved the risk onto their own return, which is the choice the most expensive quartile made.
Finally, treat sourcing as the price lever it is. The cheapest quartile in the chart did not get there by negotiating harder in the last week of an auction. Entry price is mostly determined by which situations a buyer sees and how early, which is a function of relationships, sector focus and the willingness to work on assets before they are formally for sale. That work is unglamorous and it is where most of the 1.9 times lives.
As of September 2026
Sources: Apollo, The Daily Spark, "Purchase Price Matters", published 9 September 2026 and written by Torsten Slok, Partner and Chief Economist, read first-hand: for the statement that purchase price discipline pays in every part of the cycle, that a high entry price could still work when rates were falling and exit multiples were expanding, that the price paid becomes the whole story once those tailwinds go, and that the cheapest quartile of buyout vintages beat the most expensive in both the 2010 to 2017 boom and the 2018 to 2023 period. The four figures are read from the chart published with that note, titled "Cheap entry multiples separate the best buyout funds from the rest" and plotting the 75th percentile multiple on invested capital by purchase price multiple quartile for 2018 to 2023 fund vintages: 3.6, 4.1, 4.6 and 5.5 times for the 1st through 4th quartiles as labelled. Apollo attributes the underlying data to McKinsey and Company, "Private equity confirms a timeless principle: Purchase price matters", together with its own chief economist's analysis; that piece was not reachable first-hand for this article, so no claim is made here about its sample size, geography, fund count or fee basis, and no figure from the 2010 to 2017 period is used. Apollo, The Daily Spark, "Since the Fed Started Hiking, Multiple Expansion Has Nearly Vanished as a Source of PE Value", 6 September 2026, for multiple expansion having fallen to a small share of realized value on recent exits and margin expansion not having risen to replace it, which is covered in a companion article on this site and is cited here only as settled context. The reading of the ladder as monotonic, of the 75th percentile as holding manager quality roughly constant, of price discipline as a portfolio policy rather than a deal judgment, of structure as the honest bridge across a valuation gap, and the guidance to an owner or a sponsor are ours.
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This position sits within our sell-side M&A advisory practice.