Cme (CME) Income Taxes Paid (2010 - 2026)
Cme (CME) reported Income Taxes Paid of $332.9 million for Q3 2026, up 20.8% from $275.6 million a year earlier but down 48.5% from the prior quarter.
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Analysis
Cme (CME) Income Taxes Paid (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Cme's Income Taxes Paid came in at $1.33 billion, up 19.6% year-over-year; for FY2025, it was $1.16 billion, down 2.7% from FY2024.
- Income Taxes Paid has a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- By year, Income Taxes Paid came in at $1.2 billion in FY2024 (+11.6%), $1.07 billion in FY2023 (+10.1%), $973.4 million in FY2022 (+28.9%) and $755 million in FY2021 (+15.7%).
- Five-year quarterly Income Taxes Paid spans a low of $12.7 million in Q1 2025 and a high of $647 million in Q2 2026.
- Year over year, Income Taxes Paid has now increased in each of the last four quarters, with growth averaging 30.0% over the last eight quarters.
- The high point for year-over-year Income Taxes Paid in five years was Q1 2024 (growth of 271.5%); the low point was Q1 2025 (a decline of 88.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $647 million (Q2 2026), $42.7 million (Q1 2026) and $308.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 332.90 Mn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 379.00 Mn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 292.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 59.00 Mn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 66.00 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | 135.00 Mn |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 136.40 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 103.00 Mn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 202.90 Mn |
| 10 | Tradeweb Markets | 27.14 Bn | 18.94 Bn | - | 23.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 332.90 Mn |
| Jun 30, 2026 | 647.00 Mn |
| Mar 31, 2026 | 42.70 Mn |
| Dec 31, 2025 | 308.80 Mn |
| Sep 30, 2025 | 275.60 Mn |
| Jun 30, 2025 | 566.90 Mn |
| Mar 31, 2025 | 12.70 Mn |
| Dec 31, 2024 | 257.90 Mn |
| Sep 30, 2024 | 288.90 Mn |
| Jun 30, 2024 | 534.90 Mn |
| Mar 31, 2024 | 114.80 Mn |
| Dec 31, 2023 | 188.40 Mn |
| Sep 30, 2023 | 271.60 Mn |
| Jun 30, 2023 | 580.80 Mn |
| Mar 31, 2023 | 30.90 Mn |
| Dec 31, 2022 | 169.40 Mn |
| Sep 30, 2022 | 324.60 Mn |
| Jun 30, 2022 | 434.80 Mn |
| Mar 31, 2022 | 44.60 Mn |
| Dec 31, 2021 | 142.50 Mn |
API Access
Cme Income Taxes Paid 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=income-taxes-paid&ticker=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();