Kalshi, the Prediction Market, Is Now Valued at $22 Billion

Kalshi, a prediction market platform, announced on Thursday it has secured $1 billion in funding, led by Coatue Management, valuing the company at $22 billion. This marks the third funding round in seven months, each roughly doubling its valuation, making founders Tarek Mansour and Luana Lopes Lara billionaires on paper. The platform, which allows users to bet on sports, politics, weather, and other events, has seen explosive growth, with monthly users exceeding two million and annualized trading volume hitting $178 billion—more than tripling in the past six months. The company’s annualized revenue, extrapolated from current figures, exceeds $1.5 billion, positioning Kalshi as one of the fastest-growing financial tech startups outside of AI. While individual users have fueled its expansion, Kalshi is now targeting institutional investors, including hedge funds and brokerages, to deepen liquidity and improve contract pricing accuracy. Last week, Kalshi executed its first custom block trade, a large institutional transaction, with trading volume from institutional investors surging 800 percent over six months. The funding round reflects broader investor interest in prediction markets, despite regulatory challenges, including lawsuits from state regulators over sports betting. Kalshi’s focus on institutions aligns with its long-term vision, as Mansour emphasized the need for deeper liquidity to refine market predictions. Rival Polymarket, backed by the Intercontinental Exchange, is also pursuing institutional adoption, creating competition in the space. Coatue’s involvement was driven by its hedge fund background and familiarity with trading markets, making it a strategic partner for Kalshi’s institutional push. The company plans to leverage its regulated status to attract larger financial players, further solidifying its position in the prediction market industry. Kalshi’s rapid growth and strategic funding underscore its potential to reshape how markets aggregate and reflect collective expectations on a wide range of outcomes.