Monroe Federal Bancorp (MFBI) Price to Book (2025 - 2026)
Monroe Federal Bancorp's Price to Book was 0.51 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 31.8% from 0.74 a year earlier but up 0.2% from the prior quarter.
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Analysis
Monroe Federal Bancorp (MFBI) Price to Book (2025 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Price to Book at Monroe Federal Bancorp came in at 0.50, down 25.7% from FY2025.
- In earlier fiscal years, Price to Book was 0.68 in FY2025.
- Quarterly Price to Book has moved between 0.46 (fiscal Q3 2026) and 0.74 (fiscal Q1 2026) over five years.
- Per Business Quant data, MFBI's Price to Book in the three fiscal quarters before Q1 2027 was 0.50 (Q4 2026), 0.46 (Q3 2026) and 0.51 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | Monroe Federal Bancorp | 6.92 Mn | 6.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.51 |
| Mar 31, 2026 | 0.50 |
| Dec 31, 2025 | 0.46 |
| Sep 30, 2025 | 0.51 |
| Jun 30, 2025 | 0.74 |
| Mar 31, 2025 | 0.68 |
API Access
Monroe Federal Bancorp Price to Book 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=price-to-book&ticker=MFBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();