Magnolia Bancorp (MGNO) EBITDA (2023 - 2026)
Magnolia Bancorp (MGNO) recorded EBITDA of -$5,000 in Q2 2026, compared with $34,000 a year earlier.
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Analysis
Magnolia Bancorp (MGNO) EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Magnolia Bancorp's EBITDA came in at $2,000 as of Jun 30, 2026, down 99.2% year-over-year; for FY2025, it was $105,000, down 69.1% from FY2024.
- Across earlier years, EBITDA came in at $340,000 in FY2024 (-1.7%) and $346,000 in FY2023.
- Quarterly EBITDA has ranged from -$8,000 in Q1 2026 to $108,000 in Q2 2024 over the past five years.
- On a year-over-year basis, EBITDA rose in 1 of the last six quarters, with an average decline of 51.1%.
- Per Business Quant, the preceding three quarters came in at -$8,000 (Q1 2026), $14,000 (Q4 2025) and $1,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Magnolia Bancorp | 12.57 Mn | 12.57 Mn | - | -5,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,000.00 |
| Mar 31, 2026 | -8,000.00 |
| Dec 31, 2025 | 14,000.00 |
| Sep 30, 2025 | 1,000.00 |
| Jun 30, 2025 | 34,000.00 |
| Mar 31, 2025 | 56,000.00 |
| Dec 31, 2024 | 68,000.00 |
| Sep 30, 2024 | 80,000.00 |
| Jun 30, 2024 | 108,000.00 |
| Mar 31, 2024 | 84,000.00 |
| Dec 31, 2023 | 98,000.00 |
| Sep 30, 2023 | 77,000.00 |
API Access
Magnolia Bancorp EBITDA 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=ebitda&ticker=MGNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();