Mercer Bancorp (MSBB) Return on Sales [ROS] (2022 - 2026)
Mercer Bancorp's Return on Sales [ROS] was 45.43% in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 6.31 percentage points from 39.12% a year earlier and up 2.39 percentage points from the prior quarter.
Mercer Bancorp (MSBB) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mercer Bancorp's Return on Sales [ROS] was 49.69% through Mar 31, 2026, down 3.32 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 52.92%, up 1.21 percentage points from FY2024.
- Return on Sales [ROS] shows a three-year change of +25.58 percentage points (FY2022 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 51.72% in FY2024 (+26.63 pp), 25.09% in FY2023 (-2.26 pp) and 27.35% in FY2022.
- Quarterly Return on Sales [ROS] has moved between 1.22% (fiscal Q4 2023) and 62.22% (fiscal Q1 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +8.55 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2024 (a gain of 58.33 percentage points); the worst was fiscal Q4 2023 (a drop of 32.50 percentage points).
- Per Business Quant data, MSBB's Return on Sales [ROS] in the three fiscal quarters before Q2 2026 was 43.04% (Q1 2026), 53.45% (Q4 2025) and 56.96% (Q3 2025).
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 | Mercer Bancorp | 22.52 Mn | 2.63 Mn | - | 45.43% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 45.43% |
| Dec 31, 2025 | 43.04% |
| Sep 30, 2025 | 53.45% |
| Jun 30, 2025 | 56.96% |
| Mar 31, 2025 | 39.12% |
| Dec 31, 2024 | 62.22% |
| Sep 30, 2024 | 59.55% |
| Jun 30, 2024 | 51.04% |
| Mar 31, 2024 | 48.57% |
| Dec 31, 2023 | 46.24% |
| Sep 30, 2023 | 1.22% |
| Jun 30, 2023 | 34.43% |
| Mar 31, 2023 | 34.53% |
| Dec 31, 2022 | 31.45% |
| Sep 30, 2022 | 33.72% |
| Jun 30, 2022 | 28.45% |
| Mar 31, 2022 | 20.75% |
Mercer Bancorp 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=MSBB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MSBB", "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=MSBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();