Cme (CME) Profit After Tax (2009 - 2026)
Cme's Profit After Tax was $1.04 billion in Q2 2026, up 1.6% from $1.03 billion a year earlier but down 9.7% from the prior quarter.
Cme (CME) Profit After Tax (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cme's Profit After Tax was $4.29 billion through Jun 30, 2026, up 13.8% year-over-year; for FY2025, it was $4.07 billion, up 15.5% from FY2024.
- Profit After Tax has now increased for five consecutive years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier years, Profit After Tax was $3.53 billion in FY2024 (+9.3%), $3.23 billion in FY2023 (+19.9%), $2.69 billion in FY2022 (+2.1%) and $2.64 billion in FY2021 (+25.2%).
- Quarterly Profit After Tax has moved between $625.2 million (Q4 2021) and $1.18 billion (Q4 2025) over five years.
- Compared with a year earlier, Profit After Tax has increased for three straight quarters, with growth averaging 14.2% over the last eight quarters.
- The best year-over-year quarter for Profit After Tax over five years was Q3 2021 (growth of 125.1%); the worst was Q3 2022 (a decline of 26.6%).
- Per Business Quant data, CME's Profit After Tax in the three quarters before Q2 2026 was $1.15 billion (Q1 2026), $1.18 billion (Q4 2025) and $908 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 573.00 Mn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | 1.79 Bn |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | 1.04 Bn |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 975.00 Mn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 507.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | 1.08 Bn |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 1.34 Bn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | 792.20 Mn |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | 353.10 Mn |
| 10 | LPL Financial Holdings | 24.58 Bn | 19.90 Bn | - | 379.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 908.00 Mn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 956.20 Mn |
| Dec 31, 2024 | 874.60 Mn |
| Sep 30, 2024 | 912.80 Mn |
| Jun 30, 2024 | 883.20 Mn |
| Mar 31, 2024 | 855.20 Mn |
| Dec 31, 2023 | 814.60 Mn |
| Sep 30, 2023 | 750.20 Mn |
| Jun 30, 2023 | 777.60 Mn |
| Mar 31, 2023 | 883.80 Mn |
| Dec 31, 2022 | 637.90 Mn |
| Sep 30, 2022 | 679.60 Mn |
| Jun 30, 2022 | 662.50 Mn |
| Mar 31, 2022 | 711.00 Mn |
| Dec 31, 2021 | 625.20 Mn |
| Sep 30, 2021 | 926.30 Mn |
Cme Profit After Tax API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=profit-after-tax&ticker=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "ticker": "CME", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=profit-after-tax&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();