Why Robinhood Earns More From Prediction Markets Than From Stock Trading
According to the Wall Street Journal, Robinhood's event-contract revenue topped its equity trading revenue in the third quarter of the year.
- published on Newsmetry
- original source published
the same feed is available to bots and dashboards through the api. connect the api →
what happened
People who bet on prediction markets do not win on every contract, but the broker collects revenue on nearly every trade. The Wall Street Journal reports that since the fourth quarter of last year, Robinhood Markets has earned more transaction revenue from event contracts on sports, financial and political outcomes than from stock trading. In the third quarter, event-contract revenue reached $173 million, against $121 million from equities.
The WSJ also worked through a per-trade comparison. A $1,000 Nvidia share purchase would generate about 12 cents for Robinhood on average, while the same sum spent on even-money contracts at 50 cents each could bring roughly $21, about 175 times as much. The paper notes that the markets differ sharply: stocks are highly liquid and mature, while event contracts are new and have far fewer players.
why it matters
For Robinhood, a growing share of revenue from prediction markets could become a meaningful earnings driver. The open question is whether customers will shift money from stocks to predictions, or, as the company's CFO Shiv Verma told analysts, simply use more products overall.
market impact
Robinhood shares: a rising share of revenue from prediction markets supports interest in the broker's stock.
- Robinhood shares pressure up — event-contract revenue is now outpacing revenue from stock trading
tags
instruments
sources
- Flash Heard: Why Prediction Markets Are So Lucrative for Robinhood — WSJ, 28 October 2026 at 19:44 UTC
prepared by the newsmetry newsroom with ai assistance from the sources listed below. not investment advice.
alerts on your topics, the morning digest and the api — in your account.
get stories in real time ↗