Intercontinental Exchange (ICE) Operating Income (2012 - 2026)
Intercontinental Exchange (ICE) recorded Operating Income of $1.39 billion in Q2 2026, up 7.2% from $1.3 billion a year earlier but down 16.5% from the prior quarter.
Intercontinental Exchange (ICE) Operating Income (2012 - 2026) Analysis & Trends
On a TTM basis, Intercontinental Exchange's Operating Income came in at $5.47 billion as of Jun 30, 2026, up 16.4% year-over-year; for FY2025, it was $4.93 billion, up 14.4% from FY2024.
- Annual Operating Income has increased for 12 straight years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- Across earlier years, Operating Income came in at $4.31 billion in FY2024 (+16.6%), $3.69 billion in FY2023 (+1.5%), $3.64 billion in FY2022 (+5.5%) and $3.45 billion in FY2021 (+13.7%).
- Quarterly Operating Income has ranged from $845 million in Q3 2023 to $1.67 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Income has increased for 11 consecutive quarters, with growth averaging 18.6% over the last eight quarters.
- Peak year-over-year performance for Operating Income in the last five years was growth of 40.0% in Q3 2021, against a decline of 7.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.67 billion (Q1 2026), $1.24 billion (Q4 2025) and $1.17 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | - |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | - |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 1.11 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 1.39 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 712.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | - |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | - |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 476.00 Mn |
| 10 | LPL Financial Holdings | 24.26 Bn | 19.58 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Bn |
| Mar 31, 2026 | 1.67 Bn |
| Dec 31, 2025 | 1.24 Bn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.08 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 31, 2023 | 925.00 Mn |
| Sep 30, 2023 | 845.00 Mn |
| Jun 30, 2023 | 955.00 Mn |
| Mar 31, 2023 | 969.00 Mn |
| Dec 31, 2022 | 864.00 Mn |
| Sep 30, 2022 | 913.00 Mn |
| Jun 30, 2022 | 869.00 Mn |
| Mar 31, 2022 | 992.00 Mn |
| Dec 31, 2021 | 880.00 Mn |
| Sep 30, 2021 | 878.00 Mn |
Intercontinental Exchange Operating Income 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=operating-income&ticker=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();