Monroe Federal Bancorp (MFBI) Accumulated Expenses (2024 - 2026)
Monroe Federal Bancorp (MFBI) recorded Accumulated Expenses of $573,609 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 11.2% from $645,621 a year earlier and down 7.9% from the prior quarter.
Monroe Federal Bancorp (MFBI) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Monroe Federal Bancorp reported Accumulated Expenses of $622,770, down 9.5% from FY2025.
- Across earlier fiscal years, Accumulated Expenses came in at $687,889 in FY2025 (+17.0%) and $588,099 in FY2024.
- The fiscal Q1 2027 figure is the lowest quarterly Accumulated Expenses since fiscal Q2 2025.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with an average decline of 9.6% over the last six quarters.
- Per Business Quant, the preceding three fiscal quarters came in at $622,770 (Q4 2026), $618,452 (Q3 2026) and $676,926 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Monroe Federal Bancorp | 6.92 Mn | 6.92 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 573,609.00 |
| Mar 31, 2026 | 622,770.00 |
| Dec 31, 2025 | 618,452.00 |
| Sep 30, 2025 | 676,926.00 |
| Jun 30, 2025 | 645,621.00 |
| Mar 31, 2025 | 687,889.00 |
| Dec 31, 2024 | 1.13 Mn |
| Sep 30, 2024 | 567,155.00 |
| Jun 30, 2024 | 898,905.00 |
| Mar 31, 2024 | 588,099.00 |
Monroe Federal Bancorp Accumulated 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=accumulated-expenses&ticker=MFBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MFBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();