Marathon Bancorp (MBBC) Return on Sales [ROS] (2019 - 2026)
Marathon Bancorp (MBBC) reported Return on Sales [ROS] of 67.17% for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 1.42 percentage points from 68.59% a year earlier but up 9.22 percentage points from the prior quarter.
Marathon Bancorp (MBBC) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Marathon Bancorp's Return on Sales [ROS] came in at 64.29%, up 11.28 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it came in at 64.52%, up 12.70 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of +24.16 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 51.82% in FY2025 (+0.88 pp), 50.94% in FY2024 (-4.00 pp), 54.94% in FY2023 (+17.82 pp) and 37.12% in FY2022 (-3.25 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 5.30% in fiscal Q3 2024 and a high of 69.75% in fiscal Q2 2024.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +6.37 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2025 (a gain of 58.50 percentage points); the low point was fiscal Q3 2024 (a drop of 50.25 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 57.95% (Q4 2026), 66.06% (Q3 2026) and 65.91% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 138.04% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 139.33% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 70.61% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 84.54% |
| 10 | Marathon Bancorp | 42.37 Mn | -20.34 Mn | - | 67.17% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 67.17% |
| Jun 30, 2026 | 57.95% |
| Mar 31, 2026 | 66.06% |
| Dec 31, 2025 | 65.91% |
| Sep 30, 2025 | 68.59% |
| Jun 30, 2025 | 22.51% |
| Mar 31, 2025 | 63.80% |
| Dec 31, 2024 | 57.60% |
| Sep 30, 2024 | 68.65% |
| Jun 30, 2024 | 62.40% |
| Mar 31, 2024 | 5.30% |
| Dec 31, 2023 | 69.75% |
| Sep 30, 2023 | 63.05% |
| Jun 30, 2023 | 67.63% |
| Mar 31, 2023 | 55.55% |
| Dec 31, 2022 | 50.36% |
| Sep 30, 2022 | 45.44% |
| Jun 30, 2022 | 41.08% |
| Mar 31, 2022 | 31.62% |
| Dec 31, 2021 | 34.78% |
Marathon 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=MBBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MBBC", "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=MBBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();