Marathon Bancorp (MBBC) Retained Earnings (2020 - 2026)
Marathon Bancorp's Retained Earnings came in at $27.36 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.0% from $25.57 million a year earlier and up 1.3% from the prior quarter.
Marathon Bancorp (MBBC) Retained Earnings (2020 - 2026) Analysis & Trends
Going back to fiscal Q4 2020, Marathon Bancorp's Retained Earnings data covers 24 quarters.
- Retained Earnings carries a five-year compound annual growth rate of 4.4% (FY2021 to FY2026).
- Going back by fiscal year, Retained Earnings was $25.57 million in FY2025 (+0.2%), $25.52 million in FY2024 (-0.2%), $25.58 million in FY2023 (+7.0%) and $23.91 million in FY2022 (+8.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Retained Earnings in data going back to fiscal Q4 2020.
- Year-over-year, Retained Earnings has increased for six consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in fiscal Q3 2022 (growth of 8.4%), and the weakest in fiscal Q2 2025 (a decline of 1.2%).
- Business Quant data shows MBBC's Retained Earnings at $27 million (Q3 2026), $26.51 million (Q2 2026) and $26.01 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Marathon Bancorp | 45.15 Mn | 45.15 Mn | - | 27.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.36 Mn |
| Mar 31, 2026 | 27.00 Mn |
| Dec 31, 2025 | 26.51 Mn |
| Sep 30, 2025 | 26.01 Mn |
| Jun 30, 2025 | 25.57 Mn |
| Mar 31, 2025 | 25.90 Mn |
| Dec 31, 2024 | 25.75 Mn |
| Sep 30, 2024 | 25.70 Mn |
| Jun 30, 2024 | 25.52 Mn |
| Mar 31, 2024 | 25.44 Mn |
| Dec 31, 2023 | 26.07 Mn |
| Sep 30, 2023 | 25.80 Mn |
| Jun 30, 2023 | 25.58 Mn |
| Mar 31, 2023 | 25.08 Mn |
| Dec 31, 2022 | 24.72 Mn |
| Sep 30, 2022 | 24.42 Mn |
| Jun 30, 2022 | 23.91 Mn |
| Mar 31, 2022 | 23.52 Mn |
| Dec 31, 2021 | 23.27 Mn |
| Sep 30, 2021 | 22.99 Mn |
Marathon Bancorp Retained Earnings 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=retained-earnings&ticker=MBBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MBBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();