Marathon Bancorp (MBBC) Operating Expenses (2019 - 2026)
Marathon Bancorp (MBBC) posted Operating Expenses of $1.92 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 15.9% from $2.28 million a year earlier but up 13.4% from the prior quarter.
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Analysis
Marathon Bancorp (MBBC) Operating Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marathon Bancorp's Operating Expenses came in at $6.87 million, down 0.1% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In prior fiscal years, Marathon Bancorp's Operating Expenses was $6.87 million in FY2025 (-1.8%), $7 million in FY2024 (+19.0%), $5.88 million in FY2023 (+5.9%) and $5.56 million in FY2022 (+2.2%).
- Quarterly Operating Expenses has run from a low of $1.37 million in fiscal Q4 2022 to a high of $2.51 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 3.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2024, with growth of 68.8%; the weakest was fiscal Q3 2025, with a decline of 39.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.69 million (Q3 2026), $1.63 million (Q2 2026) and $1.64 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Marathon Bancorp | 45.15 Mn | 45.15 Mn | - | 1.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.92 Mn |
| Mar 31, 2026 | 1.69 Mn |
| Dec 31, 2025 | 1.63 Mn |
| Sep 30, 2025 | 1.64 Mn |
| Jun 30, 2025 | 2.28 Mn |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 1.53 Mn |
| Sep 30, 2024 | 1.55 Mn |
| Jun 30, 2024 | 1.48 Mn |
| Mar 31, 2024 | 2.51 Mn |
| Dec 31, 2023 | 1.55 Mn |
| Sep 30, 2023 | 1.46 Mn |
| Jun 30, 2023 | 1.46 Mn |
| Mar 31, 2023 | 1.49 Mn |
| Dec 31, 2022 | 1.49 Mn |
| Sep 30, 2022 | 1.45 Mn |
| Jun 30, 2022 | 1.37 Mn |
| Mar 31, 2022 | 1.40 Mn |
| Dec 31, 2021 | 1.38 Mn |
| Sep 30, 2021 | 1.40 Mn |
API Access
Marathon Bancorp Operating Expenses 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=operating-expenses&ticker=MBBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MBBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();