Monroe Federal Bancorp (MFBI) Shares Outstanding (Diluted) (2025 - 2026)
Monroe Federal Bancorp (MFBI) posted Shares Outstanding (Diluted) of 493,968 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.4% from 492,126 a year earlier and unchanged from the prior quarter.
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Analysis
Monroe Federal Bancorp (MFBI) Shares Outstanding (Diluted) (2025 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Monroe Federal Bancorp's Shares Outstanding (Diluted) came in at 494,213.
- Quarterly Shares Outstanding (Diluted) has run from a low of 492,126 in fiscal Q1 2026 to a high of 494,213 in fiscal Q4 2026 over five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 494,213 (Q4 2026), 494,213 (Q3 2026) and 492,126 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Monroe Federal Bancorp | 6.92 Mn | 6.92 Mn | - | 493,968.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 493,968.00 |
| Mar 31, 2026 | 494,213.00 |
| Dec 31, 2025 | 494,213.00 |
| Sep 30, 2025 | 492,126.00 |
| Jun 30, 2025 | 492,126.00 |
API Access
Monroe Federal Bancorp Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MFBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();