Magnolia Bancorp (MGNO) EBT (2023 - 2026)
Magnolia Bancorp's EBT was -$65,000 in Q2 2026, compared with -$44,000 a year earlier.
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Analysis
Magnolia Bancorp (MGNO) EBT (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Magnolia Bancorp's EBT was -$243,000 through Jun 30, 2026; for FY2025, it came in at -$191,000.
- In earlier years, EBT was -$127,000 in FY2024 and $109,000 in FY2023.
- Quarterly EBT has moved between -$69,000 (Q1 2026) and $20,000 (Q3 2023) over five years.
- Per Business Quant data, MGNO's EBT in the three quarters before Q2 2026 was -$69,000 (Q1 2026), -$49,000 (Q4 2025) and -$60,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 279.77 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 11.57 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 7.35 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 5.56 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 7.02 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 8.56 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 8.05 Bn |
| 10 | Magnolia Bancorp | 12.57 Mn | 12.57 Mn | - | -65,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -65,000.00 |
| Mar 31, 2026 | -69,000.00 |
| Dec 31, 2025 | -49,000.00 |
| Sep 30, 2025 | -60,000.00 |
| Jun 30, 2025 | -44,000.00 |
| Mar 31, 2025 | -38,000.00 |
| Dec 31, 2024 | -50,000.00 |
| Sep 30, 2024 | -46,000.00 |
| Jun 30, 2024 | -8,000.00 |
| Mar 31, 2024 | -23,000.00 |
| Dec 31, 2023 | 7,000.00 |
| Sep 30, 2023 | 20,000.00 |
API Access
Magnolia Bancorp EBT 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=ebt&ticker=MGNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "ticker": "MGNO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebt&ticker=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();