VersaBank (VBNK) Return on Sales [ROS] (2021 - 2026)
VersaBank's Return on Sales [ROS] was 172.23% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 4.54 percentage points from 167.69% a year earlier and up 21.39 percentage points from the prior quarter.
VersaBank (VBNK) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, VersaBank's Return on Sales [ROS] was 162.65% through Jul 31, 2026, down 27.90 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 176.63%, down 36.17 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -58872.47 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 212.80% in FY2024 (+40.73 pp), 172.07% in FY2023 (+71.70 pp), 100.37% in FY2022 (-44824.87 pp) and 44925.24% in FY2021 (-14123.85 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -23.61 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2023 (a gain of 78.87 percentage points); the worst was fiscal Q4 2022 (a drop of 160642.08 percentage points).
- Per Business Quant data, VBNK's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was 150.84% (Q2 2026), 171.45% (Q1 2026) and 155.99% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | VersaBank | 742.73 Mn | -904.14 Mn | - | 172.23% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 172.23% |
| Apr 30, 2026 | 150.84% |
| Jan 31, 2026 | 171.45% |
| Oct 31, 2025 | 155.99% |
| Jul 31, 2025 | 167.69% |
| Apr 30, 2025 | 181.42% |
| Jan 31, 2025 | 210.68% |
| Oct 31, 2024 | 206.75% |
| Jul 31, 2024 | 222.87% |
| Apr 30, 2024 | 215.08% |
| Jan 31, 2024 | 206.85% |
| Oct 31, 2023 | 194.58% |
| Jul 31, 2023 | 182.32% |
| Apr 30, 2023 | 160.04% |
| Jan 31, 2023 | 148.49% |
| Oct 31, 2022 | 123.16% |
| Jul 31, 2022 | 103.45% |
| Apr 30, 2022 | 82.62% |
| Jan 31, 2022 | 84.65% |
| Oct 31, 2021 | 87.28% |
VersaBank 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=VBNK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VBNK", "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=VBNK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();