Magnolia Bancorp (MGNO) Net Income (2023 - 2026)
Magnolia Bancorp (MGNO) recorded Net Income of -$65,000 in Q2 2026, compared with -$36,000 a year earlier.
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Analysis
Magnolia Bancorp (MGNO) Net Income (2023 - 2026) Analysis & Trends
On a TTM basis, Magnolia Bancorp's Net Income came in at -$238,000 as of Jun 30, 2026; for FY2025, it came in at -$170,000.
- Across earlier years, Net Income came in at -$100,000 in FY2024 and $85,783 in FY2023.
- Quarterly Net Income has ranged from -$69,000 in Q1 2026 to $16,000 in Q3 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$69,000 (Q1 2026), -$56,000 (Q4 2025) and -$48,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 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 | -56,000.00 |
| Sep 30, 2025 | -48,000.00 |
| Jun 30, 2025 | -36,000.00 |
| Mar 31, 2025 | -30,000.00 |
| Dec 31, 2024 | -40,000.00 |
| Sep 30, 2024 | -36,000.00 |
| Jun 30, 2024 | -6,000.00 |
| Mar 31, 2024 | -18,000.00 |
| Dec 31, 2023 | 5,783.00 |
| Sep 30, 2023 | 16,000.00 |
API Access
Magnolia Bancorp Net Income 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=net-income&ticker=MGNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();