Monroe Federal Bancorp (MFBI) Provisions (2023 - 2026)
Monroe Federal Bancorp's Provisions was $20,778 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 74.5% from $81,533 a year earlier.
Monroe Federal Bancorp (MFBI) Provisions (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Monroe Federal Bancorp's Provisions was -$132,112 through Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at -$56,944.
- In earlier fiscal years, Provisions was $15,288 in FY2025 and -$143,224 in FY2024.
- Quarterly Provisions has moved between -$90,446 (fiscal Q4 2024) and $81,533 (fiscal Q1 2026) over five years.
- Per Business Quant data, MFBI's Provisions in the three fiscal quarters before Q1 2027 was -$89,673 (Q4 2026), -$80,591 (Q3 2026) and $17,374 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 914.00 Mn |
| 10 | Monroe Federal Bancorp | 6.92 Mn | 6.92 Mn | - | 20,778.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20,778.00 |
| Mar 31, 2026 | -89,673.00 |
| Dec 31, 2025 | -80,591.00 |
| Sep 30, 2025 | 17,374.00 |
| Jun 30, 2025 | 81,533.00 |
| Mar 31, 2025 | -62,097.00 |
| Dec 31, 2024 | 60,932.00 |
| Sep 30, 2024 | -14,724.00 |
| Jun 30, 2024 | 31,949.00 |
| Mar 31, 2024 | -90,446.00 |
| Dec 31, 2023 | -32,051.00 |
| Sep 30, 2023 | 6,988.00 |
| Jun 30, 2023 | -15,358.00 |
Monroe Federal Bancorp Provisions 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=provisions&ticker=MFBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();