Marathon Bancorp (MBBC) Professional Fees (2019 - 2026)
Marathon Bancorp's Professional Fees was $274,968 in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 42.8% from $192,521 a year earlier and up 19.6% from the prior quarter.
Marathon Bancorp (MBBC) Professional Fees (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marathon Bancorp's Professional Fees was $937,992 through Sep 30, 2026, up 27.3% year-over-year; for FY2026 (ended Jun 30, 2026), it was $855,545, up 22.1% from FY2025.
- Professional Fees shows a five-year compound annual growth rate of 18.5% (FY2021 to FY2026).
- In earlier fiscal years, Professional Fees was $700,730 in FY2025 (-7.2%), $754,806 in FY2024 (+6.0%), $712,246 in FY2023 (+8.4%) and $656,954 in FY2022 (+79.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Professional Fees in data going back to fiscal Q2 2020.
- Compared with a year earlier, Professional Fees was higher in five of the last eight quarters, with growth averaging 14.0%.
- The best year-over-year quarter for Professional Fees over five years was fiscal Q2 2022 (growth of 129.1%); the worst was fiscal Q2 2025 (a decline of 14.8%).
- Per Business Quant data, MBBC's Professional Fees in the three fiscal quarters before Q1 2027 was $229,991 (Q4 2026), $175,797 (Q3 2026) and $257,236 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 424.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.17 Bn |
| 10 | Marathon Bancorp | 42.37 Mn | -20.34 Mn | - | 274,968.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 274,968.00 |
| Jun 30, 2026 | 229,991.00 |
| Mar 31, 2026 | 175,797.00 |
| Dec 31, 2025 | 257,236.00 |
| Sep 30, 2025 | 192,521.00 |
| Jun 30, 2025 | 181,192.00 |
| Mar 31, 2025 | 177,909.00 |
| Dec 31, 2024 | 185,010.00 |
| Sep 30, 2024 | 156,619.00 |
| Jun 30, 2024 | 195,136.00 |
| Mar 31, 2024 | 171,847.00 |
| Dec 31, 2023 | 217,087.00 |
| Sep 30, 2023 | 170,736.00 |
| Jun 30, 2023 | 178,471.00 |
| Mar 31, 2023 | 159,867.00 |
| Dec 31, 2022 | 188,841.00 |
| Sep 30, 2022 | 185,067.00 |
| Jun 30, 2022 | 163,547.00 |
| Mar 31, 2022 | 163,873.00 |
| Dec 31, 2021 | 172,057.00 |
Marathon Bancorp Professional Fees 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=professional-fees&ticker=MBBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=MBBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();