Monroe Federal Bancorp (MFBI) Debt Ratio (2024 - 2026)
Monroe Federal Bancorp's (MFBI) Debt Ratio stood at 0.05 in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 15.9% from 0.04 a year earlier and up 91.6% from the prior quarter.
Monroe Federal Bancorp (MFBI) Debt Ratio (2024 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Monroe Federal Bancorp's Debt Ratio came in at 0.03, down 61.0% from FY2025.
- Across earlier fiscal years, Debt Ratio came in at 0.07 in FY2025 (+257.8%) and 0.02 in FY2024.
- Quarterly Debt Ratio has ranged from 0.01 in fiscal Q3 2025 to 0.08 in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Debt Ratio rose in four of the last six quarters, with growth averaging 94.7%.
- Per Business Quant, the preceding three fiscal quarters came in at 0.03 (Q4 2026), 0.03 (Q3 2026) and 0.08 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 0.01 |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 0.05 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 0.02 |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 0.02 |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 0.22 |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 0.04 |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 0.21 |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 0.01 |
| 10 | Monroe Federal Bancorp | 6.92 Mn | 6.92 Mn | - | 0.05 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.05 |
| Mar 31, 2026 | 0.03 |
| Dec 31, 2025 | 0.03 |
| Sep 30, 2025 | 0.08 |
| Jun 30, 2025 | 0.04 |
| Mar 31, 2025 | 0.07 |
| Dec 31, 2024 | 0.01 |
| Sep 30, 2024 | 0.07 |
| Jun 30, 2024 | 0.05 |
| Mar 31, 2024 | 0.02 |
Monroe Federal Bancorp Debt Ratio 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=debt-ratio&ticker=MFBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=MFBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();