Bank Of Montreal (BMO) Return on Sales [ROS] (2010 - 2026)
Bank Of Montreal's Return on Sales [ROS] was 80.55% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 4.14 percentage points from 84.69% a year earlier and down 7.66 percentage points from the prior quarter.
Bank Of Montreal (BMO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank Of Montreal's Return on Sales [ROS] was 84.36% through Jul 31, 2026, down 0.39 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 84.36%, down 0.59 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +17.06 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 84.95% in FY2024 (+7.86 pp), 77.09% in FY2023 (-30.35 pp), 107.44% in FY2022 (+27.81 pp) and 79.62% in FY2021 (+12.32 pp).
- The fiscal Q3 2026 figure marks the lowest quarterly Return on Sales [ROS] since fiscal Q3 2023.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +0.15 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2022 (a gain of 76.49 percentage points); the worst was fiscal Q2 2023 (a drop of 70.31 percentage points).
- Per Business Quant data, BMO's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was 88.21% (Q2 2026), 84.71% (Q1 2026) and 84.11% (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 | Bank Of Montreal | 122.47 Bn | 122.47 Bn | - | 36.86% |
Historic Data
| Date | Value |
|---|---|
| Aug 25, 2026 | 36.86% |
| May 27, 2026 | 36.25% |
| Oct 31, 2025 | 84.11% |
| Jul 31, 2025 | 84.69% |
| Apr 30, 2025 | 84.09% |
| Oct 31, 2024 | 85.58% |
| Jul 31, 2024 | 86.28% |
| Apr 30, 2024 | 87.07% |
| Oct 31, 2023 | 82.39% |
| Jul 31, 2023 | 80.32% |
| Apr 30, 2023 | 74.25% |
| Jan 31, 2023 | 69.04% |
| Oct 31, 2022 | 123.78% |
| Jul 31, 2022 | 64.42% |
| Apr 30, 2022 | 144.56% |
| Jan 31, 2022 | 65.80% |
| Oct 31, 2021 | 80.97% |
| Jul 31, 2021 | 88.62% |
| Apr 30, 2021 | 68.07% |
| Jan 31, 2021 | 80.78% |
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();