Volume Race

Reports / Q2 2026

Quarterly report

Q2 2026: $104.25B traded on prediction markets

Notional volume across 8 exchanges was $104.25B in the second quarter of 2026 (April to June), up 67% from Q1 2026 and 17.7 times the $5.89B of Q2 2025. Kalshi led with a 63.0% share. The busiest day was Thu Jun 25, 2026, at $2.55B.

Q2 2026
$104.25B
91 days
vs prior quarter
+67%
Q1 2026: $62.29B
vs a year earlier
17.7×
Q2 2025: $5.89B
Daily average
$1.15B
April to June

Exchanges

Ranked by the quarter's volume. Share change is against Q1 2026.

#ExchangeVolumeSharevs Q1 2026Share change
1Kalshi$65.72B63.0%+99%+10.0 pts
2Polymarket$26.79B25.7%+2.4%−16.3 pts
3Polymarket US$7.07B6.8%5.7×+4.8 pts
4Crypto.com$2.38B2.3%+58%−0.1 pts
5Robinhood$2.09B2.0%newnew
6Gemini$115M0.1%+93%0.0 pts
7ForecastEx$83.1M0.1%−68%−0.3 pts
8DraftKings$14K<0.1%newnew

By month

MonthVolumeDaily averageLeader
April 2026$25.74B$858MKalshi (57.5%)
May 2026$27.53B$888MKalshi (65.1%)
June 2026$50.97B$1.70BKalshi (64.7%)

What traded

At exchanges that publish a split.

Sports, single-leg 56%Combos (parlays) 27%Non-sports 17%

Busiest days

  1. Thu Jun 25, 2026: $2.55B
  2. Wed Jun 24, 2026: $2.46B
  3. Fri Jun 26, 2026: $2.34B
  4. Sat Jun 27, 2026: $2.31B
  5. Tue Jun 30, 2026: $2.31B

Q2 2026: questions

How much volume did prediction markets trade in Q2 2026?

$104.25B in notional volume across 8 exchanges, $1.15B a day, up 67% from Q1 2026.

Which prediction market had the most volume in Q2 2026?

Kalshi. The top three were Kalshi (63.0%), Polymarket (25.7%), Polymarket US (6.8%).

How fast is prediction market volume growing?

Q2 2026 volume was $104.25B, up 67% on the quarter and 17.7 times the $5.89B of Q2 2025. Growth includes exchanges that opened during the period.

What share of Q2 2026 prediction market volume was sports?

83% at the exchanges that publish a split, including 27% in combos (parlays). Non-sports markets were 17%.

Notional volume: contracts traded × each contract's payout, from each exchange's own daily report. Download every day as CSV · Methods · All reports