Intercontinental Exchange (ICE) Income Taxes Paid (2013 - 2026)
Intercontinental Exchange (ICE) posted Income Taxes Paid of $390 million for Q2 2026, down 25.6% from $524 million a year earlier but up 490.9% from the prior quarter.
Intercontinental Exchange (ICE) Income Taxes Paid (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income Taxes Paid at Intercontinental Exchange was $834 million, down 26.3% year-over-year; for FY2025, it was $1.07 billion, up 11.6% from FY2024.
- Annual Income Taxes Paid has increased for three consecutive years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In prior years, Intercontinental Exchange's Income Taxes Paid was $957 million in FY2024 (+5.3%), $909 million in FY2023 (+3.1%), $882 million in FY2022 (-16.6%) and $1.06 billion in FY2021 (+64.6%).
- Quarterly Income Taxes Paid has run from a low of $66 million in Q1 2026 to a high of $524 million in Q2 2025 over five years.
- On a year-over-year basis, Income Taxes Paid increased in four of the last eight quarters, with growth averaging 4.4%.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was Q3 2021, with growth of 375.9%; the weakest was Q1 2026, with a decline of 60.2%.
- According to Business Quant data, Income Taxes Paid for the three prior quarters was $66 million (Q1 2026), $199 million (Q4 2025) and $179 million (Q3 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 292.00 Mn |
| Jun 30, 2026 | 390.00 Mn |
| Mar 31, 2026 | 66.00 Mn |
| Dec 31, 2025 | 199.00 Mn |
| Sep 30, 2025 | 179.00 Mn |
| Jun 30, 2025 | 524.00 Mn |
| Mar 31, 2025 | 166.00 Mn |
| Dec 31, 2024 | 181.00 Mn |
| Sep 30, 2024 | 260.00 Mn |
| Jun 30, 2024 | 374.00 Mn |
| Mar 31, 2024 | 142.00 Mn |
| Dec 31, 2023 | 251.00 Mn |
| Sep 30, 2023 | 122.00 Mn |
| Jun 30, 2023 | 387.00 Mn |
| Mar 31, 2023 | 149.00 Mn |
| Dec 31, 2022 | 172.00 Mn |
| Sep 30, 2022 | 186.00 Mn |
| Jun 30, 2022 | 434.00 Mn |
| Mar 31, 2022 | 90.00 Mn |
| Dec 31, 2021 | 248.00 Mn |
Intercontinental Exchange 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=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "ticker": "ICE", "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=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();