Cme (CME) Interest Expenses (2009 - 2026)
Cme's Interest Expenses was $43.6 million in Q2 2026, down 0.9% from $44 million a year earlier and unchanged from the prior quarter.
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Analysis
Cme (CME) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cme's Interest Expenses was $174.9 million through Jun 30, 2026, up 5.0% year-over-year; for FY2025, it came in at $173.4 million, up 7.8% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $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%).
- Quarterly Interest Expenses has moved between $39.6 million (Q3 2023) and $44 million (Q3 2025) over five years.
- Compared with a year earlier, Interest Expenses was higher in seven of the last eight quarters, with growth averaging 4.8%.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2025 (growth of 9.7%); the worst was Q1 2023 (a decline of 6.1%).
- Per Business Quant data, CME's Interest Expenses in the three quarters before Q2 2026 was $43.6 million (Q1 2026), $43.7 million (Q4 2025) and $44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 159.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 4.49 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 | - | 1.98 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 1.18 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 1.51 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 | 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 |
| Sep 30, 2021 | 41.80 Mn |
API Access
Cme 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=interest-expenses&ticker=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();