Kalshi makes money primarily through trading fees charged on every contract bought and sold on its exchange, supplemented by interest earned on customer deposits, data licensing, and a small amount of market-making revenue. As the first and only US prediction market regulated as a Designated Contract Market (DCM) by the CFTC, Kalshi runs a fee-driven exchange model that resembles how CME Group or ICE monetize derivatives trading, not a sportsbook that profits from losing bettors. In this guide we break down each revenue stream, why the model is designed this way, and what it means for traders choosing between Kalshi and competitors.
The Exchange Model: Why Kalshi Does Not Bet Against You
Kalshi is not a bookmaker. It is a regulated exchange, which means it matches buyers and sellers of event contracts rather than taking the other side of trades itself. Every market has a Yes side and a No side, and for every dollar won by one trader, another trader loses a dollar. Kalshi’s role is to run the venue, enforce the rules, settle contracts correctly when the event resolves, and provide the liquidity, data feeds, and compliance infrastructure that make the market work.
This matters because it aligns Kalshi’s incentives with trader volume rather than trader losses. A traditional sportsbook makes more money when customers lose. An exchange makes more money when customers trade more often, which in turn requires markets to be fair, deep, and well calibrated. If you want a deeper comparison of this model versus a sportsbook, see our rankings of the best prediction markets.
Revenue Stream One: Trading Fees
Trading fees are the backbone of Kalshi’s revenue. The platform uses a tiered fee schedule that scales with contract price and trade size, with most retail trades falling between $0.01 and $0.07 per contract per side. Fees are higher on markets where contracts trade near 50 cents (where the exchange is pricing maximum uncertainty) and taper off as prices move toward 0 or 100 cents.
The precise formula Kalshi uses is roughly fee = ceiling(0.07 x contracts x price x (1 - price)), rounded up to the nearest cent. The practical effect is that a trader buying 100 Yes contracts at 50 cents pays about $1.75 on the entry and a similar amount on exit, while the same 100 contracts bought at 10 cents cost roughly $0.63 per side. Across millions of contracts traded per week, these per-trade cents add up to the exchange’s largest and most predictable revenue line.
Revenue Stream Two: Interest on Customer Deposits
When traders fund a Kalshi account, their cash sits in segregated customer accounts at insured US banks and in Treasury-backed money market vehicles while they wait to be deployed on contracts or withdrawn. In a world where short-term Treasury yields have ranged between 4 and 5.5 percent, the float on hundreds of millions of dollars of customer cash becomes a meaningful second revenue stream.
Kalshi does not pay interest back to retail traders by default, which is a point of comparison with brokerages that sweep cash into interest-bearing accounts. The spread between what Kalshi earns on customer cash and what it passes back (currently zero for most retail users) belongs to the exchange. This revenue line is sensitive to the Federal Reserve policy path: when rates fall, this stream shrinks, and when rates rise, it expands.
Revenue Stream Three: Data, API, and Enterprise Products
Kalshi sells real-time and historical market data to hedge funds, research shops, journalists, and quantitative traders through paid API tiers. The free tier covers casual developers; the paid tiers unlock higher rate limits, websocket streams, order-book depth, tick-level history, and commercial redistribution rights. Enterprise customers who need Kalshi’s probabilities piped into trading systems, dashboards, or newsroom tools pay recurring fees that can run into the tens of thousands per year.
A short list of what the enterprise and data business includes today:
- Real-time probability feeds for every active contract
- Historical tick data for backtesting and research
- Settlement data and resolution sources for compliance teams
- White-label and widget products for publishers that want to embed market odds
- Priority support and higher API throughput for institutional traders
Revenue Stream Four: Market-Making and Liquidity Programs
Kalshi runs internal and partner-driven liquidity programs that keep spreads tight on headline markets, especially around major events like Fed meetings, elections, and sports championships. The exchange earns a small amount of revenue from these programs through rebates it does not pay out and from the structural edge of running a venue where it sees the full order flow before anyone else. This is a modest line compared with fees and float, but it supports the quality of markets that in turn drives trading volume.
How Kalshi’s Revenue Compares to a Sportsbook
The table below shows how an exchange model like Kalshi’s differs from a sportsbook’s house-edge model.
| Revenue Driver | Kalshi (Exchange) | Traditional Sportsbook |
|---|---|---|
| Primary profit source | Per-contract trading fees | Vig / juice baked into odds |
| Who takes the other side of your trade | Another trader | The sportsbook itself |
| Incentive alignment | Rewards volume and fair markets | Rewards customer losses |
| Treatment of winning accounts | No limits for winning | Frequent stake limits or bans |
| Interest on deposits | Captured as float revenue | Captured as float revenue |
Why the Business Model Matters for Traders
The exchange model has three practical consequences for anyone trading on Kalshi. First, winning traders are welcome because the exchange profits from their trading activity, not from their losses, so there is no analog to being limited or banned by a sportsbook. Second, prices on Kalshi tend to be sharper than at a book because they are set by the collective bids and offers of real traders rather than by a risk desk marking a line. Third, costs are transparent: the fee is quoted before every trade, and there is no hidden spread beyond the bid-ask set by the market.
Those traits are the reason Kalshi has become the benchmark US venue for serious prediction market traders, and they are why the platform’s revenue has scaled with volume rather than depending on a captive losing customer base.
Where to Trade
If you want to see the exchange model in action, the two most liquid US-accessible venues are Kalshi and Polymarket. Kalshi is the CFTC-regulated option for US residents, while Polymarket runs on-chain with deeper global coverage of political and crypto markets.
- Open a Kalshi account to trade regulated US event contracts.
- Explore Polymarket for broader global coverage.
- Compare both platforms head to head in our best prediction markets rankings.