Intercontinental Exchange (ICE) Other Operating Expenses (2013 - 2026)
Intercontinental Exchange (ICE) recorded Other Operating Expenses of $242 million in Q2 2026, up 12.6% from $215 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Intercontinental Exchange (ICE) Other Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Intercontinental Exchange's Other Operating Expenses came in at $922 million as of Jun 30, 2026, up 7.6% year-over-year; for FY2025, it was $870 million, up 2.6% from FY2024.
- Annual Other Operating Expenses has increased for 13 straight years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $848 million in FY2024 (+15.5%), $734 million in FY2023 (+7.5%), $683 million in FY2022 (+2.6%) and $666 million in FY2021 (+21.3%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q1 2013.
- On a year-over-year basis, Other Operating Expenses has increased for 13 consecutive quarters, with growth averaging 7.0% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 28.2% in Q3 2021, against a decline of 1.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $238 million (Q1 2026), $223 million (Q4 2025) and $219 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.61 Bn | 94.70 Bn | - |
| 2 | Robinhood Markets | 91.70 Bn | 72.73 Bn | - |
| 3 | Intercontinental Exchange | 88.95 Bn | 82.69 Bn | - |
| 4 | Nasdaq | 54.22 Bn | 51.65 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 38.25 Bn | 15.37 Bn | - |
| 6 | Cboe Global Markets | 33.42 Bn | 25.08 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - |
| 8 | Tradeweb Markets | 25.45 Bn | 17.47 Bn | - |
| 9 | Circle Internet | 22.26 Bn | 16.14 Bn | 288.85 Mn |
| 10 | Xp | 16.07 Bn | -5.76 Bn | 105.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.16 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.15 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.13 Bn |
| Jun 30, 2024 | 1.11 Bn |
| Mar 31, 2024 | 1.08 Bn |
| Dec 31, 2023 | 1.11 Bn |
| Sep 30, 2023 | 924.00 Mn |
| Jun 30, 2023 | 820.00 Mn |
| Mar 31, 2023 | 812.00 Mn |
| Dec 31, 2022 | 812.00 Mn |
| Sep 30, 2022 | 803.00 Mn |
| Jun 30, 2022 | 815.00 Mn |
| Mar 31, 2022 | 822.00 Mn |
| Dec 31, 2021 | 825.00 Mn |
| Sep 30, 2021 | 838.00 Mn |
API Access
Intercontinental Exchange Other Operating Expenses 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=other-operating-expenses&ticker=ICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();