Marathon Bancorp (MBBC) Return on Sales [ROS] (2019 - 2026)
Marathon Bancorp (MBBC) reported Return on Sales [ROS] of 57.95% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 35.44 percentage points from 22.51% a year earlier but down 8.11 percentage points from the prior quarter.
Marathon Bancorp (MBBC) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marathon Bancorp posted Return on Sales [ROS] of 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] has now increased in each of the last three quarters, with an average year-over-year change of +7.25 percentage points over the last eight quarters.
- 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 Q4 2026 came in at 66.06% (Q3 2026), 65.91% (Q2 2026) and 68.59% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Marathon Bancorp | 44.19 Mn | 44.19 Mn | - | 57.95% |
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 40.26% |
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_KEY
import 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();