A Multiple Isn't Just a Number, It's a Bet on the Future
Pricing a company turns out to be a surprisingly satisfying thing to do. After all, “one multiplication gives you a share price.”
Take EBITDA, slap on 10x. Subtract debt, divide by share count. There you go, price per share. With a calculator it’s done in three minutes. Clean and tidy.
But that three minutes of satisfaction has always scared me.
EBITDA, as you know, is a kind of profit. It’s the number left over before interest, tax, and depreciation are subtracted — essentially the “earning power the business itself generates” in isolated form. For a hardware business, where heavy equipment means depreciation chews up net income, it makes sense that looking at EBITDA reveals the reality better than looking at net profit does.
Then you multiply this by a multiple to get the company’s price. What comes out is EV (Enterprise Value) — the price of the whole company, meaning the shareholders’ portion plus debt. Whether in M&A or fundraising, EV/EBITDA is usually the first thing thrown around on the ground. I’ve invested as a hobby since my student days, and as someone leading a startup I’ve also sat on the side of “being priced.” That’s exactly why I say this: this “multiple” is a tricky character.
Many people think of the multiple as “a coefficient that projects future profit from current profit.” But what it actually contains is a bit different.
To be precise, the multiple is all the cash the company will generate in the future, discounted for risk and summed up, compressed into a single number. Theoretically, multiple ≈ 1 ÷ (required return − growth rate). When growth expectations are high, the multiple swells; when risk is high, it shrinks. In other words, both “the future” and “how precarious it is” are folded into this one number.
Written textbook-style like that, it suddenly sounds difficult, so let me break it down.
Roughly speaking, the multiple is “how many years’ worth of current profit you’re paying up front.” At 10x, it feels like buying the company by paying 10 years’ worth of the current annual profit.
But do you actually pay 10 years’ worth at face value? You don’t. There’s no guarantee that profit will still be coming in properly 10 years from now. Even tomorrow is uncertain, let alone 10 years out.
So the further into the future the profit is, the more lightly it’s counted, discounted down. Next year’s profit is treated at close to face value, 10 years out it’s cut in half, 20 years out it’s little more than a token gesture — the further away it gets, the more it’s eroded. That’s what “discounting for risk” actually means.
What matters here is how credible the company is. For a company with good fundamentals and strong growth, the discount eases up because “the future will probably show up as expected,” so you’re willing to pay for however many years — meaning the multiple swells. For a shaky company, the future gets discounted hard, so you can only pay for 2–3 years’ worth — meaning the multiple shrinks.
In short, a single multiple simultaneously packs in both “how many years you’re paying for” and “how much you believe in that future.”
The multiplication method is, in a sense, a compressed version of DCF (Discounted Cash Flow). Up to here, it’s elegant.
The problem is what comes next.
So in practice, how is that multiple actually decided? In most cases, it’s borrowed from comparable companies. “Similar companies trade at 8x, so ours should be 8x too.”
Wait, doesn’t that seem off?
To begin with, a truly “identical business” barely exists in this world. The judgment shouldn’t be based on whether the businesses are similar, but on whether “future growth rate and risk are similar.” Even within the same SaaS category, a company growing 20% a year and one that’s flat deserve wildly different multiples, night and day. Yet the moment you apply the same multiple because they’re “the same industry,” you’re guaranteed to be mispricing one of them.
And there’s something even more troublesome.
Even if you managed to find a perfect comparable, that company’s stock price already has the market’s assumptions baked in. If the whole sector is in a bubble, the multiple you borrowed stays bubbled too. Your valuation inherits the other party’s distortion wholesale.
The multiple method is, structurally, nothing more than “relative valuation.” All it’s saying is “similar companies trade at this price, so this one should too.” In principle, it can never answer the absolute question of “what’s the correct price.”
Charlie Munger’s famous jab at EBITDA, calling it “bullshit earnings,” is well known, but what really scares me isn’t EBITDA itself so much as the multiple riding on top of it.
That’s why professionals always run DCF alongside it: the calculation method I just described as “what a multiple really is,” discounting future cash and summing it all up directly, without hiding it inside a multiple. In DCF, you spell out every assumption yourself — discount rate, growth rate, capital expenditures, everything. That’s what makes it a ruler for an “absolute value,” independent of the market’s herd psychology. DCF, on the other hand, can swing wildly depending on its assumptions, so you set it against the relative multiple, and if the two diverge sharply, you go back and ask “which set of assumptions looks fishy.” Only through this triangulation does pricing finally hold together.
Writing all this out, what strikes me is that the “one multiplication” that looked the most appetizing turned out to be hiding the most judgment calls.
The multiple method is easy precisely because it takes all the assumptions that should properly be made explicit one by one in a DCF — growth rate, risk, choice of comparables — and stuffs them into a single number called “the multiple,” rendering them invisible.
The very reason it’s easy is exactly its weakness.
When we’re pleased that “one multiplication gave us a share price,” we may not be calculating at all. We may just be borrowing someone else’s assumptions.
Incidentally, a while back I wrote an article about SpaceX’s IPO arguing “245x has got to be out of its mind”. Tracing that sense of unease back, I think it ultimately arrives at this same question: where did the multiple actually come from?
This piece was drafted and directed by Kuzuryu, written by AI.
Originally published in Japanese at https://clazytech.com/2026/06/1661/. Translated with LLM assistance and reviewed before publication.