Cme (CME) Non Operating Interest Expenses (2009 - 2026)
Cme (CME) recorded Non Operating Interest Expenses of $43.5 million in Q3 2026, down 1.1% from $44 million a year earlier and down 0.2% from the prior quarter.
Cme (CME) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Cme's Non Operating Interest Expenses came in at $174.4 million as of Sep 30, 2026, up 2.3% year-over-year; for FY2025, it was $173.4 million, up 7.8% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $160.9 million in FY2024 (+0.9%), $159.4 million in FY2023 (-2.0%), $162.7 million in FY2022 (-2.5%) and $166.9 million in FY2021 (+0.4%).
- The Q3 2026 figure is the lowest quarterly Non Operating Interest Expenses since Q1 2025.
- On a year-over-year basis, Non Operating Interest Expenses rose in six of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 9.7% in Q2 2025, against a decline of 6.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.6 million (Q2 2026), $43.6 million (Q1 2026) and $43.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 43.50 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 4.28 Bn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 222.00 Mn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 86.00 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 2.05 Bn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 13.10 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | -1.28 Bn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 1.40 Bn |
| 10 | Tradeweb Markets | 30.09 Bn | 22.61 Bn | - | 522,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.50 Mn |
| Jun 30, 2026 | 43.60 Mn |
| Mar 31, 2026 | 43.60 Mn |
| Dec 31, 2025 | 43.70 Mn |
| Sep 30, 2025 | 44.00 Mn |
| Jun 30, 2025 | 44.00 Mn |
| Mar 31, 2025 | 41.70 Mn |
| Dec 31, 2024 | 40.70 Mn |
| Sep 30, 2024 | 40.20 Mn |
| Jun 30, 2024 | 40.10 Mn |
| Mar 31, 2024 | 39.90 Mn |
| Dec 31, 2023 | 39.70 Mn |
| Sep 30, 2023 | 39.60 Mn |
| Jun 30, 2023 | 40.20 Mn |
| Mar 31, 2023 | 39.90 Mn |
| Dec 31, 2022 | 39.90 Mn |
| Sep 30, 2022 | 40.40 Mn |
| Jun 30, 2022 | 39.90 Mn |
| Mar 31, 2022 | 42.50 Mn |
| Dec 31, 2021 | 41.90 Mn |
Cme 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=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();