The first piece in this thread walked through why a modest 40% improvement in a company’s EBITDA turned into a 3.4x return on the equity invested — the whole appeal of a leveraged buyout in one number. The second piece showed the other side of that same coin: a modest downside case cut that return roughly in half, and a genuinely bad case could wipe the equity out entirely, because debt gets repaid before equity no matter how the business performs.
Those two pieces described the same mechanism from opposite directions. This piece names the mechanism directly, because it’s not really about LBOs specifically — it’s about what leverage does to risk in general, and it connects directly back to the power law and information-edge arguments already running through this site.
The Mechanism, Named Plainly
A business’s underlying operating performance — its EBITDA, its cash flow — moves within a fairly ordinary range most of the time. A bad year might mean EBITDA down 15%. A good year might mean EBITDA up 15%. That’s the business’s real risk, and it’s usually not enormous, especially for a stable, established company.
Leverage takes that ordinary range and stretches it, because the equity holder’s return is calculated against a slice of the company’s value — the part left over after debt — not against the company’s total value. When most of the purchase price was debt, the equity slice is small relative to the whole. A change in the company’s value that would be modest against the whole company becomes large against that thin remaining equity slice.
This is the same arithmetic in both directions, which is the part worth sitting with: leverage doesn’t have a setting for “amplify the upside” separate from “amplify the downside.” It’s one lever, and it’s symmetric. The 40% EBITDA improvement that produced a 3.4x return in the base case, and the more modest shortfall that cut the return roughly in half in the downside case, are the exact same mechanism running in two different directions. There is no way to keep the amplification on one side without keeping it on the other.
Why the Same Business Is Riskier With Debt Than Without It
Buy the same $80M company with $80M of cash instead of $27M of equity and $55M of debt, and a 40% swing in EBITDA still produces a 40% swing in the value of what you own — because there’s no thin remaining slice being levered against the whole. The all-cash version of the deal is the un-amplified version of the same business risk.
The leveraged version isn’t taking on a new risk that didn’t exist in the business before. It’s taking the business’s existing risk and concentrating almost all of it onto a much smaller base — the equity — while debt holders take on comparatively little of it, in exchange for being paid first. That’s the actual trade being made every time a deal is levered up: the equity holder is accepting a narrower, more extreme range of outcomes in exchange for needing to put in far less capital to control the asset.
Why This Only Makes Sense Across a Portfolio, Not Inside One Deal
This is where the thread connects back to the earlier pieces on this site about power law investing. A single leveraged deal has a wide, amplified range of outcomes — including a real, non-trivial chance the equity goes to zero. Putting all of a fund’s capital into one such deal is a concentrated bet on a single amplified outcome, and it inherits every weakness of concentration described in the seed-stage breadth argument: no matter how good the underlying business looks, a single bad outcome takes the whole fund down with it.
The reason leveraged buyouts function as a viable strategy for institutions that do them at scale — rather than as a reckless one-off bet — is the same reason the seed-stage breadth strategy works for venture: a portfolio of many leveraged deals, each individually amplified, produces a much more predictable aggregate outcome than any single deal on its own, provided the deals are genuinely independent of each other. Some individual deals in the portfolio will land in the downside case described in the prior piece. A few may go to zero. Others will land in the base case or better. Spread across enough independent deals, the portfolio’s blended outcome looks far more like the business’s ordinary, unlevered risk than any single deal’s amplified range does.
This is the same lesson as the earlier pieces in this series, arriving from a different direction: leverage, like a venture portfolio’s exposure to any single startup, is a tool that makes sense at the portfolio level and is dangerous at the level of a single, concentrated position. An institution running many levered deals is doing something structurally sound. An individual putting most of their own net worth into one heavily levered position is running the same amplification with none of the diversification that makes it survivable.
Where Information Edge Fits In
The information-edge piece earlier in this series argued that real edge — genuine, nameable knowledge a typical investor doesn’t have — justifies paying less for a deal, because you can see something the market can’t. The same logic applies here with an added weight: because leverage amplifies whatever assumption turns out to be wrong, a levered deal built on a mispriced assumption doesn’t just underperform modestly. It underperforms by whatever multiple the leverage itself applies.
That’s the honest argument for why real domain edge matters more, not less, in a leveraged deal than in an all-equity one. Getting the EBITDA growth assumption wrong by 10 points in an unlevered deal costs you 10 points of return. Getting the same assumption wrong in a deal financed two-thirds by debt can cost you most or all of the equity, because that 10-point miss is being measured against a thin remaining slice, not the whole business. Leverage is not a substitute for genuinely understanding the business being bought. It’s a force multiplier on how much that understanding — or the lack of it — actually matters.
Explain It Like I’m Four
Imagine you and a friend each buy a trampoline, the exact same size, for the exact same price. You pay for yours entirely with your own money. Your friend pays for theirs by borrowing most of the money from their older sibling, and only using a little of their own.
Now imagine both trampolines get a little bit bouncier — maybe you both added new springs. Your trampoline bounces you a little higher. But your friend’s trampoline bounces them much, much higher — way more than the springs alone would explain — because their sibling’s money is like a second set of springs underneath, and even though you both changed the trampoline by the same small amount, your friend feels a giant jump because they only put a little of their own weight into it to begin with.
Here’s the part that’s easy to forget: the same thing happens if the trampoline gets a little less bouncy instead. You come down only slightly lower than before. Your friend comes down a lot lower — possibly harder than feels okay — for the exact same small change in the trampoline, because the same borrowed-money springs that made their good bounce huge also make their bad bounce huge.
Borrowing money to buy the trampoline didn’t make the trampoline itself more dangerous. It made your friend’s particular bounce — the part that’s actually theirs — swing much further in both directions, good and bad, for the same-sized change in the trampoline itself.
One sentence version: borrowing money to buy something doesn’t change how much the thing itself changes — it changes how big your own personal swing feels when it does, in both directions, by exactly the same amount.
Where in your own decisions — a loan, a big commitment, a bet sized larger than the rest — are you standing on borrowed springs without having noticed which direction they can throw you?
About Me
I'm Michael Philippou, co-founder of Big Love, a plant-based ice cream business in Santa Monica that I've been running with my wife Victoria for over ten years. Before ice cream, I was a lawyer. I write about the real, unpolished lessons of running a small business — no gurus, no hype, just what's actually worked and what hasn't. Watch more on YouTube (Real Business Real Lessons) or follow along on LinkedIn.
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