Bank Of Montreal (BMO) Return on Sales [ROS] (2009 - 2026)
Bank Of Montreal's Return on Sales [ROS] was 138.43% in fiscal Q2 2026 (quarter ended Apr 30, 2026), down 13.23 percentage points from 151.66% a year earlier but up 7.68 percentage points from the prior quarter.
Bank Of Montreal (BMO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank Of Montreal's Return on Sales [ROS] was 111.95% through Apr 30, 2026, down 48.95 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 147.76%, down 23.15 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +117.39 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 170.92% in FY2024 (+24.50 pp), 146.42% in FY2023 (+60.69 pp), 85.73% in FY2022 (+27.48 pp) and 58.25% in FY2021 (+27.87 pp).
- Quarterly Return on Sales [ROS] has moved between 31.32% (fiscal Q3 2025) and 180.13% (fiscal Q3 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -8.07 percentage points over the last seven quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2023 (a gain of 88.15 percentage points); the worst was fiscal Q2 2025 (a drop of 24.83 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 84.05% |
| 10 | Bank Of Montreal | 237.11 Mn | 237.11 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 138.43% |
| Jan 31, 2026 | 130.75% |
| Oct 31, 2025 | 139.73% |
| Jun 30, 2025 | 31.32% |
| Apr 30, 2025 | 151.66% |
| Jan 31, 2025 | 151.66% |
| Oct 31, 2024 | 161.14% |
| Jul 31, 2024 | 180.13% |
| Apr 30, 2024 | 176.50% |
| Jan 31, 2024 | 166.70% |
| Oct 31, 2023 | 154.50% |
| Jul 31, 2023 | 147.84% |
| Apr 30, 2023 | 131.38% |
| Jan 31, 2023 | 153.95% |
| Oct 31, 2022 | 106.85% |
| Jul 31, 2022 | 74.41% |
| Apr 30, 2022 | 85.68% |
| Jan 31, 2022 | 65.80% |
| Oct 31, 2021 | 61.94% |
| Jul 31, 2021 | 57.37% |
Bank Of Montreal 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=BMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BMO", "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=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();