Intercontinental Exchange (ICE) Change in Taxes (2013 - 2026)
Intercontinental Exchange's Change in Taxes was $151 million in Q2 2020, up 54.1% from $98 million a year earlier and up 459.3% from the prior quarter.
Intercontinental Exchange (ICE) Change in Taxes (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intercontinental Exchange's Change in Taxes was $143 million through Jun 30, 2020; for FY2013, it came in at -$15 million.
- In earlier years, Change in Taxes was $15 million in FY2012 (-65.1%) and $43 million in FY2011.
- The Q2 2020 figure marks the highest quarterly Change in Taxes in data going back to Q1 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | -9.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 283.00 Mn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | - |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | -4.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | - |
| 10 | Tradeweb Markets | 30.09 Bn | 22.61 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 283.00 Mn |
| Jun 30, 2026 | 288.00 Mn |
| Jun 30, 2025 | 150.00 Mn |
| Mar 31, 2025 | 262.00 Mn |
| Dec 31, 2024 | 242.00 Mn |
| Sep 30, 2024 | 232.00 Mn |
| Jun 30, 2024 | 138.00 Mn |
| Mar 31, 2024 | 67.00 Mn |
| Dec 31, 2023 | 62.00 Mn |
| Sep 30, 2023 | 56.00 Mn |
| Jun 30, 2023 | 56.00 Mn |
| Mar 31, 2023 | 119.00 Mn |
| Dec 31, 2022 | 167.00 Mn |
| Sep 30, 2022 | 158.00 Mn |
| Jun 30, 2022 | 123.00 Mn |
| Mar 31, 2022 | 51.00 Mn |
| Dec 31, 2021 | 44.00 Mn |
| Sep 30, 2021 | 38.00 Mn |
| Jun 30, 2021 | 41.00 Mn |
| Mar 31, 2021 | 125.00 Mn |
Intercontinental Exchange Change in Taxes 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=change-in-taxes&ticker=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();