Tutorials › Startups: The Ecosystem and How They're Funded › Unicorn Economics and the Power Law

Startups: The Ecosystem and How They're Funded · Part 18 of 19

Unicorn Economics and the Power Law

A billion-dollar valuation is a claim about the future, not a receipt for revenue already earned.

A unicorn is a private company valued at $1 billion or more; a decacorn is one valued at $10 billion or more. Both terms describe a private valuation: the number agreed on between a company and its investors in its most recent round. Neither one measures revenue or profitability, and confusing the three is a common misreading of startup news.

Valuation, revenue, and profitability are three separate claims

What it measuresWho sets it
Private valuationWhat investors are willing to pay for a slice of the company right nowNegotiated between the company and its investors in the most recent round
RevenueMoney the company has collected from customersRecorded in the company's own financials
ProfitabilityWhether revenue exceeds the cost of running the businessRecorded in the company's own financials

A company can cross a billion-dollar valuation with modest revenue and no profitability, if investors believe the growth trajectory and market opportunity justify that price today. Crossing the unicorn threshold is a statement about believed future potential. It says nothing about revenue milestones already reached.

What investors weigh

When two companies with comparable revenue and similar team size end up with very different valuations, the gap usually comes down to some combination of these factors:

Investors price all nine factors together. A company growing 150% year over year with 95% retention and a defensible technical moat earns a different multiple on its revenue than one growing 30% with high churn, even when this quarter's revenue matches.

“Great business” versus “venture-scale business”

Venture capital is built around a power law: a distribution where most outcomes cluster near zero and a tiny handful are so large they dwarf everything else combined. Most investments in a fund return little or nothing, and the fund's entire performance depends on a small number of massive outcomes covering the rest.

Imagine a fund that writes twenty $1,000,000 checks into twenty different seed-stage companies. A few years later the outcomes are wildly uneven: ten of the twenty return nothing, six return roughly what was put in, two return 3x, one returns 10x, and one returns 100x. That's $122,000,000 back on a $20,000,000 fund, and the single 100x company accounts for $100,000,000 of it, more than four-fifths of everything the fund returns, from one investment out of twenty.

That single company is what VCs call a fund returner: an investment big enough on its own to return the entire fund and then some, whatever the other nineteen do. Every check a venture fund writes is a bet that this particular company might become it, because the failures and the modest wins added together were never going to carry the fund. The structure works only when every company a VC funds has a realistic shot at that outcome. Plenty of good businesses don't have one.

Great businessVenture-scale business
Growth expectationsSteady, sustainableRapid and outsized, capable of the outcome a power-law fund needs
Addressable marketCan be modest or localMust be large enough to support a massive outcome
ScalabilityCan rely on manual, high-touch operationsNeeds a model where revenue grows much faster than cost
Capital requirementsOften low; can be self-fundedOften high; needs outside capital to move fast enough
Founder ambitionBuilding something sustainable and profitableBuilding toward a category-defining outcome
Venture capital fits a narrow slice of profitable companies. A profitable consulting firm, a well-run local services business, or a steady, modestly growing software company can all be excellent and still be poorly served by venture funding. The growth pressure that comes with that capital can hurt a company that was better off staying disciplined and profitable on its own terms.

The final article in this series pulls all of this together into a practical checklist for a founder deciding whether to take a specific investor's money.