Cme (CME) Other Accumulated Expenses (2009 - 2026)
Cme's Other Accumulated Expenses was $538.6 million in Q2 2026, down 1.1% from $544.5 million a year earlier and down 39.3% from the prior quarter.
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Analysis
Cme (CME) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Cme came in at $568.8 million, down 78.0% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -15.8% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $2.59 billion in FY2024 (-17.4%), $3.13 billion in FY2023 (+36.2%), $2.3 billion in FY2022 (+39.4%) and $1.65 billion in FY2021 (+22.6%).
- Quarterly Other Accumulated Expenses has moved between $405.3 million (Q3 2021) and $3.13 billion (Q4 2023) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 10.0%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q1 2026 (growth of 41.8%); the worst was Q4 2025 (a decline of 78.0%).
- Per Business Quant data, CME's Other Accumulated Expenses in the three quarters before Q2 2026 was $887.1 million (Q1 2026), $568.8 million (Q4 2025) and $471.1 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 538.60 Mn |
| Mar 31, 2026 | 887.10 Mn |
| Dec 31, 2025 | 568.80 Mn |
| Sep 30, 2025 | 471.10 Mn |
| Jun 30, 2025 | 544.50 Mn |
| Mar 31, 2025 | 625.50 Mn |
| Dec 31, 2024 | 2.59 Bn |
| Sep 30, 2024 | 485.20 Mn |
| Jun 30, 2024 | 454.60 Mn |
| Mar 31, 2024 | 767.20 Mn |
| Dec 31, 2023 | 3.13 Bn |
| Sep 30, 2023 | 634.60 Mn |
| Jun 30, 2023 | 593.20 Mn |
| Mar 31, 2023 | 839.70 Mn |
| Dec 31, 2022 | 2.30 Bn |
| Sep 30, 2022 | 488.30 Mn |
| Jun 30, 2022 | 488.80 Mn |
| Mar 31, 2022 | 641.10 Mn |
| Dec 31, 2021 | 1.65 Bn |
| Sep 30, 2021 | 405.30 Mn |
API Access
Cme 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=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "CME", "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=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();