Intercontinental Exchange (ICE) Other Accumulated Expenses (2012 - 2026)
Intercontinental Exchange (ICE) reported Other Accumulated Expenses of $154 million for Q2 2026, down 11.0% from $173 million a year earlier and down 23.0% from the prior quarter.
Intercontinental Exchange (ICE) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Intercontinental Exchange posted Other Accumulated Expenses of $118 million, down 31.8% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $173 million in FY2024 (+26.3%), $137 million in FY2023 (-25.5%), $184 million in FY2022 (+20.3%) and $153 million in FY2021 (-1.3%).
- Five-year quarterly Other Accumulated Expenses spans a low of $118 million in Q4 2025 and a high of $312 million in Q1 2025.
- Year over year, Other Accumulated Expenses has now declined in each of the last four quarters, with growth averaging 12.3% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q1 2025 (growth of 108.0%); the low point was Q2 2022 (a decline of 61.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $200 million (Q1 2026), $118 million (Q4 2025) and $125 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.00 Mn |
| Mar 31, 2026 | 200.00 Mn |
| Dec 31, 2025 | 118.00 Mn |
| Sep 30, 2025 | 125.00 Mn |
| Jun 30, 2025 | 173.00 Mn |
| Mar 31, 2025 | 312.00 Mn |
| Dec 31, 2024 | 173.00 Mn |
| Sep 30, 2024 | 201.00 Mn |
| Jun 30, 2024 | 130.00 Mn |
| Mar 31, 2024 | 150.00 Mn |
| Dec 31, 2023 | 137.00 Mn |
| Sep 30, 2023 | 136.00 Mn |
| Jun 30, 2023 | 120.00 Mn |
| Mar 31, 2023 | 262.00 Mn |
| Dec 31, 2022 | 184.00 Mn |
| Sep 30, 2022 | 188.00 Mn |
| Jun 30, 2022 | 162.00 Mn |
| Mar 31, 2022 | 259.00 Mn |
| Dec 31, 2021 | 153.00 Mn |
| Sep 30, 2021 | 196.00 Mn |
Intercontinental Exchange Other Accumulated 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-accumulated-expenses&ticker=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();