Canadian Imperial Bank Of Commerce (CM) Operating Expenses (2009 - 2026)
Canadian Imperial Bank Of Commerce (CM) recorded Operating Expenses of $3.36 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 16.1% from $2.89 billion a year earlier and up 9.7% from the prior quarter.
Canadian Imperial Bank Of Commerce (CM) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Canadian Imperial Bank Of Commerce's Operating Expenses came in at $12.56 billion as of Jul 31, 2026, up 13.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $11.43 billion, up 8.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $10.57 billion in FY2024 (-0.1%), $10.58 billion in FY2023 (+9.8%), $9.64 billion in FY2022 (-16.4%) and $11.54 billion in FY2021 (+34.2%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2009.
- On a year-over-year basis, Operating Expenses has increased for ten consecutive quarters, with growth averaging 10.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 43.4% in fiscal Q4 2021, against a decline of 22.5% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.06 billion (Q2 2026), $3.12 billion (Q1 2026) and $3.01 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Canadian Imperial Bank Of Commerce | 102.04 Bn | 61.47 Bn | - | 3.36 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.36 Bn |
| Apr 30, 2026 | 3.06 Bn |
| Jan 31, 2026 | 3.12 Bn |
| Oct 31, 2025 | 3.01 Bn |
| Jul 31, 2025 | 2.89 Bn |
| Apr 30, 2025 | 2.68 Bn |
| Jan 31, 2025 | 2.73 Bn |
| Oct 31, 2024 | 2.78 Bn |
| Jul 31, 2024 | 2.69 Bn |
| Apr 30, 2024 | 2.58 Bn |
| Jan 31, 2024 | 2.56 Bn |
| Oct 31, 2023 | 2.54 Bn |
| Jul 31, 2023 | 2.48 Bn |
| Apr 30, 2023 | 2.32 Bn |
| Jan 31, 2023 | 3.31 Bn |
| Oct 31, 2022 | 2.62 Bn |
| Jul 31, 2022 | 2.47 Bn |
| Apr 30, 2022 | 2.46 Bn |
| Jan 31, 2022 | 2.39 Bn |
| Oct 31, 2021 | 3.14 Bn |
Canadian Imperial Bank Of Commerce Operating 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=operating-expenses&ticker=CM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();