Canadian Imperial Bank Of Commerce (CM) Return on Sales [ROS] (2009 - 2026)
Canadian Imperial Bank Of Commerce (CM) reported Return on Sales [ROS] of 131.38% for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 86.91 percentage points from 44.47% a year earlier and up 0.70 percentage points from the prior quarter.
Canadian Imperial Bank Of Commerce (CM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Canadian Imperial Bank Of Commerce's Return on Sales [ROS] came in at 110.78%, up 10.54 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 45.13%, up 1.13 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -15.53 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 44.00% in FY2024 (-0.25 pp), 44.25% in FY2023 (-35.95 pp), 80.20% in FY2022 (+34.10 pp) and 46.11% in FY2021 (-14.55 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -3.13 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q2 2023 (a gain of 110.71 percentage points); the low point was fiscal Q3 2024 (a drop of 128.92 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 130.68% (Q2 2026), 130.92% (Q1 2026) and 44.53% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Canadian Imperial Bank Of Commerce | 107.27 Bn | 66.56 Bn | - | 131.38% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 131.38% |
| Apr 30, 2026 | 130.68% |
| Jan 31, 2026 | 130.92% |
| Oct 31, 2025 | 141.95% |
| Jul 31, 2025 | 148.33% |
| Apr 30, 2025 | 151.94% |
| Jan 31, 2025 | 161.35% |
| Oct 31, 2024 | 181.43% |
| Jul 31, 2024 | 187.07% |
| Apr 30, 2024 | 188.85% |
| Jan 31, 2024 | 187.37% |
| Oct 31, 2023 | 190.29% |
| Jul 31, 2023 | 174.16% |
| Apr 30, 2023 | 168.69% |
| Jan 31, 2023 | 138.76% |
| Oct 31, 2022 | 120.19% |
| Jul 31, 2022 | 84.53% |
| Apr 30, 2022 | 57.98% |
| Jan 31, 2022 | 58.37% |
| Oct 31, 2021 | 51.50% |
Canadian Imperial Bank Of Commerce Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();