Cme (CME) Tax Provisions (2009 - 2026)
Cme (CME) reported Tax Provisions of $285.9 million for Q2 2026, down 6.3% from $305.2 million a year earlier and down 19.8% from the prior quarter.
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Analysis
Cme (CME) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cme's Tax Provisions came in at $1.31 billion, up 21.0% year-over-year; for FY2025, it came in at $1.26 billion, up 23.9% from FY2024.
- Tax Provisions has increased for six consecutive years, with a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- By year, Tax Provisions came in at $1.02 billion in FY2024 (+9.5%), $927.4 million in FY2023 (+16.0%), $799.3 million in FY2022 (+8.5%) and $736.7 million in FY2021 (+19.7%).
- Five-year quarterly Tax Provisions spans a low of $169.6 million in Q3 2021 and a high of $395.5 million in Q4 2025.
- Year over year, Tax Provisions gained in seven of the last eight quarters, with growth averaging 19.4%.
- The high point for year-over-year Tax Provisions in five years was Q4 2025 (growth of 78.2%); the low point was Q2 2026 (a decline of 6.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $356.6 million (Q1 2026), $395.5 million (Q4 2025) and $269 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 136.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 475.00 Mn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 285.90 Mn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 312.00 Mn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 146.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 305.00 Mn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 118.00 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 272.50 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 141.60 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 136.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285.90 Mn |
| Mar 31, 2026 | 356.60 Mn |
| Dec 31, 2025 | 395.50 Mn |
| Sep 30, 2025 | 269.00 Mn |
| Jun 30, 2025 | 305.20 Mn |
| Mar 31, 2025 | 288.60 Mn |
| Dec 31, 2024 | 222.00 Mn |
| Sep 30, 2024 | 264.10 Mn |
| Jun 30, 2024 | 271.30 Mn |
| Mar 31, 2024 | 258.20 Mn |
| Dec 31, 2023 | 191.40 Mn |
| Sep 30, 2023 | 224.10 Mn |
| Jun 30, 2023 | 238.80 Mn |
| Mar 31, 2023 | 273.10 Mn |
| Dec 31, 2022 | 189.40 Mn |
| Sep 30, 2022 | 200.40 Mn |
| Jun 30, 2022 | 204.20 Mn |
| Mar 31, 2022 | 205.30 Mn |
| Dec 31, 2021 | 174.10 Mn |
| Sep 30, 2021 | 169.60 Mn |
API Access
Cme Tax Provisions 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=tax-provisions&ticker=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();