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Core

Estimating a Prop Firm's Annual Revenue

A worked Fermi chain for a classic quant-interview prompt, building a proprietary trading firm's annual revenue from headcount, capital per trader, and a plausible return on capital, then cross-checking with a per-trader P&L anchor.

Prerequisites: Breaking an Estimate Into a Decomposition Tree

"Roughly how much revenue does a mid-sized proprietary trading firm generate in a year?" This is a favorite because it's directly about the interviewer's own industry, there's no hiding behind "I don't know finance," and the assumptions you pick reveal how much you understand about how a prop firm actually makes money. The chain has two natural routes: from capital and returns, or from headcount and per-trader output. Building both and comparing is the strongest answer.

Route 1: capital times return on capital

annual revenuedeployed capital×return on capital.\text{annual revenue} \approx \text{deployed capital} \times \text{return on capital} .

A mid-sized firm might deploy, say, $500 million to $1 billion of capital (own capital plus leverage) across its strategies. Prop trading returns on deployed capital are typically far higher than a long-only fund's, because the capital is turned over rapidly and leveraged, a reasonable anchor is 20–40% annualized return on deployed capital for a firm running market-making and stat-arb style strategies. Taking $700 million and 30%: 700×0.30=210700 \times 0.30 = 210, i.e. $210 million in annual trading revenue (before costs).

Route 2: headcount times revenue per trader

annual revenuenumber of traders×revenue per trader.\text{annual revenue} \approx \text{number of traders} \times \text{revenue per trader} .

A mid-sized firm might employ 150–250 traders and quantitative researchers directly involved in generating P&L. Revenue per senior trader at a well-run prop firm is commonly cited in interview folklore as somewhere in the $1–2 million/year range (this varies hugely by strategy and seniority, but it's a workable anchor), while junior traders and researchers contribute less individually but add headcount. Blending across seniority, call it an average of $1 million/trader across 200 traders: 200×1=200200 \times 1 = 200, i.e. $200 million.

Route 1 ($210M) and Route 2 ($200M) land within 5% of each other, strong agreement from two structurally independent chains, one anchored in capital markets, the other in headcount economics.

\$700M capital × 30% return on capital 200 traders × \$1M revenue per trader ~\$200-210M annual revenue two chains agree within 5%
Capital-based and headcount-based chains, built from different anchor numbers, converging near the same revenue figure.

Prop firm revenue can be decomposed two independent ways, deployed capital times return on capital, or headcount times revenue per trader, and a good interview answer builds both and checks they agree, rather than committing to a single unverified chain.

"Revenue" and "profit" are not the same number, and interviewers sometimes deliberately ask for one while candidates answer with the other. Prop firm revenue (gross trading P&L) is typically far larger than net profit after paying trader compensation (which can be 30-50% of P&L at many firms), technology costs, and exchange fees, state clearly which one you're estimating.

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Related concepts

Practice in interviews

Further reading

  • Guesstimation, Weinstein and Adam
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