Monroe Federal Bancorp, Inc. (MFBI) Operating Expenses (2023 - 2026)
Monroe Federal Bancorp (MFBI) recorded Operating Expenses of $1.07 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.9% from $1.1 million a year earlier and down 28.6% from the prior quarter.
Monroe Federal Bancorp, Inc. (MFBI) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, Monroe Federal Bancorp's Operating Expenses came in at $4.91 million as of Jun 30, 2026, up 12.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $4.94 million, up 10.5% from FY2025.
- Across earlier fiscal years, Operating Expenses came in at $4.47 million in FY2025 (+6.6%) and $4.19 million in FY2024.
- The fiscal Q1 2027 figure is the lowest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 6.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 33.7% in fiscal Q4 2026, against a decline of 7.8% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.5 million (Q4 2026), $1.14 million (Q3 2026) and $1.19 million (Q2 2026).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Mn |
| Mar 31, 2026 | 1.50 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 1.12 Mn |
| Dec 31, 2024 | 1.09 Mn |
| Sep 30, 2024 | 1.06 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 1.09 Mn |
| Dec 31, 2023 | 1.07 Mn |
| Sep 30, 2023 | 991,773.00 |
| Jun 30, 2023 | 1.05 Mn |
Monroe Federal Bancorp, Inc. 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=MFBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();