Monroe Federal Bancorp (MFBI) EV to EBITDA (2025 - 2026)
Monroe Federal Bancorp's EV to EBITDA came in at 2.93 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 31.1% from 4.26 a year earlier and down 6.6% from the prior quarter.
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Analysis
Monroe Federal Bancorp (MFBI) EV to EBITDA (2025 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Monroe Federal Bancorp's EV to EBITDA was 3.14, down 22.0% from FY2025.
- Going back by fiscal year, EV to EBITDA was 4.03 in FY2025.
- The five-year range for quarterly EV to EBITDA is 2.57 (fiscal Q3 2026) to 4.26 (fiscal Q1 2026).
- Business Quant data shows MFBI's EV to EBITDA at 3.14 (Q4 2026), 2.57 (Q3 2026) and 3.03 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Monroe Federal Bancorp | 6.92 Mn | 6.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.93 |
| Mar 31, 2026 | 3.14 |
| Dec 31, 2025 | 2.57 |
| Sep 30, 2025 | 3.03 |
| Jun 30, 2025 | 4.26 |
| Mar 31, 2025 | 4.03 |
API Access
Monroe Federal Bancorp EV to EBITDA 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=ev-to-ebitda&ticker=MFBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();