Monroe Federal Bancorp, Inc. (MFBI) EBITDA Margin (2023 - 2026)
Monroe Federal Bancorp (MFBI) reported EBITDA Margin of 59.51% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 12.42 percentage points from 47.09% a year earlier and up 31.80 percentage points from the prior quarter.
Monroe Federal Bancorp, Inc. (MFBI) EBITDA Margin (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Monroe Federal Bancorp's EBITDA Margin came in at 50.71%, down 2.11 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 47.58%, down 2.87 percentage points from FY2025.
- By fiscal year, EBITDA Margin came in at 50.45% in FY2025 (-4.68 pp) and 55.13% in FY2024.
- Five-year quarterly EBITDA Margin spans a low of 27.71% in fiscal Q4 2026 and a high of 64.14% in fiscal Q3 2026.
- Year over year, EBITDA Margin gained in four of the last eight quarters, with an average year-over-year change of -1.18 percentage points.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q3 2026 (a gain of 17.62 percentage points); the low point was fiscal Q4 2026 (a drop of 29.82 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 27.71% (Q4 2026), 64.14% (Q3 2026) and 50.86% (Q2 2026).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.33% |
| Mar 31, 2026 | 30.75% |
| Dec 31, 2025 | 67.23% |
| Sep 30, 2025 | 53.98% |
| Jun 30, 2025 | 50.42% |
| Mar 31, 2025 | 60.95% |
| Dec 31, 2024 | 50.23% |
| Sep 30, 2024 | 65.14% |
| Jun 30, 2024 | 42.25% |
| Mar 31, 2024 | 62.55% |
| Dec 31, 2023 | 60.53% |
| Sep 30, 2023 | 63.34% |
| Jun 30, 2023 | 51.98% |
Monroe Federal Bancorp, Inc. EBITDA Margin 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=ebitda-margin&ticker=MFBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();