Monroe Federal Bancorp (MFBI) Return on Sales [ROS] (2023 - 2026)
Monroe Federal Bancorp (MFBI) posted Return on Sales [ROS] of 53.90% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.03 percentage points from 40.87% a year earlier and up 32.53 percentage points from the prior quarter.
Monroe Federal Bancorp (MFBI) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Monroe Federal Bancorp was 44.97%, down 1.27 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 41.69%, down 2.24 percentage points from FY2025.
- In prior fiscal years, Monroe Federal Bancorp's Return on Sales [ROS] was 43.94% in FY2025 (-4.96 pp) and 48.89% in FY2024.
- Quarterly Return on Sales [ROS] has run from a low of 21.37% in fiscal Q4 2026 to a high of 58.46% in fiscal Q3 2026 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.94 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2026, with a gain of 18.21 percentage points; the weakest was fiscal Q4 2026, with a drop of 29.24 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 21.37% (Q4 2026), 58.46% (Q3 2026) and 45.49% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Monroe Federal Bancorp | 6.92 Mn | 6.92 Mn | - | 53.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.90% |
| Mar 31, 2026 | 21.37% |
| Dec 31, 2025 | 58.46% |
| Sep 30, 2025 | 45.49% |
| Jun 30, 2025 | 40.87% |
| Mar 31, 2025 | 50.61% |
| Dec 31, 2024 | 40.25% |
| Sep 30, 2024 | 53.87% |
| Jun 30, 2024 | 32.56% |
| Mar 31, 2024 | 52.16% |
| Dec 31, 2023 | 49.39% |
| Sep 30, 2023 | 52.60% |
| Jun 30, 2023 | 41.71% |
Monroe Federal 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=MFBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MFBI", "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=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();