Intercontinental Exchange (ICE) Non Operating Interest Expenses (2013 - 2026)
Intercontinental Exchange's Non Operating Interest Expenses was $205 million in Q2 2026, up 2.0% from $201 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Intercontinental Exchange (ICE) Non Operating Interest Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intercontinental Exchange's Non Operating Interest Expenses was $804 million through Jun 30, 2026, down 4.6% year-over-year; for FY2025, it came in at $803 million, down 11.8% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $910 million in FY2024 (+12.6%), $808 million in FY2023 (+31.2%), $616 million in FY2022 (+45.6%) and $423 million in FY2021 (+18.5%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q1 2025.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last eight quarters, with an average decline of 6.6%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2022 (growth of 72.5%); the worst was Q4 2024 (a decline of 15.1%).
- Per Business Quant data, ICE's Non Operating Interest Expenses in the three quarters before Q2 2026 was $203 million (Q1 2026), $204 million (Q4 2025) and $192 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 86.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 13.20 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 101.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205.00 Mn |
| Mar 31, 2026 | 203.00 Mn |
| Dec 31, 2025 | 204.00 Mn |
| Sep 30, 2025 | 192.00 Mn |
| Jun 30, 2025 | 201.00 Mn |
| Mar 31, 2025 | 206.00 Mn |
| Dec 31, 2024 | 213.00 Mn |
| Sep 30, 2024 | 223.00 Mn |
| Jun 30, 2024 | 233.00 Mn |
| Mar 31, 2024 | 241.00 Mn |
| Dec 31, 2023 | 251.00 Mn |
| Sep 30, 2023 | 206.00 Mn |
| Jun 30, 2023 | 175.00 Mn |
| Mar 31, 2023 | 176.00 Mn |
| Dec 31, 2022 | 176.00 Mn |
| Sep 30, 2022 | 176.00 Mn |
| Jun 30, 2022 | 161.00 Mn |
| Mar 31, 2022 | 103.00 Mn |
| Dec 31, 2021 | 102.00 Mn |
| Sep 30, 2021 | 108.00 Mn |
API Access
Intercontinental Exchange Non Operating Interest 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=non-operating-interest-expenses&ticker=ICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();