Magnolia Bancorp (MGNO) EBIT (2023 - 2026)
Magnolia Bancorp (MGNO) posted EBIT of -$16,000 for Q2 2026, compared with $18,000 a year earlier.
Magnolia Bancorp (MGNO) EBIT (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Magnolia Bancorp was -$47,000; for FY2025, it came in at $49,000, down 81.4% from FY2024.
- In prior years, Magnolia Bancorp's EBIT was $263,000 in FY2024 (-2.2%) and $269,000 in FY2023.
- Quarterly EBIT has run from a low of -$19,000 in Q1 2026 to a high of $88,000 in Q2 2024 over five years.
- According to Business Quant data, EBIT for the three prior quarters was -$19,000 (Q1 2026), $1,000 (Q4 2025) and -$13,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 19.01 Bn |
| 10 | Magnolia Bancorp | 12.57 Mn | 12.57 Mn | - | -16,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16,000.00 |
| Mar 31, 2026 | -19,000.00 |
| Dec 31, 2025 | 1,000.00 |
| Sep 30, 2025 | -13,000.00 |
| Jun 30, 2025 | 18,000.00 |
| Mar 31, 2025 | 43,000.00 |
| Dec 31, 2024 | 49,000.00 |
| Sep 30, 2024 | 61,000.00 |
| Jun 30, 2024 | 88,000.00 |
| Mar 31, 2024 | 65,000.00 |
| Dec 31, 2023 | 81,000.00 |
| Sep 30, 2023 | 71,000.00 |
Magnolia Bancorp EBIT 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=ebit&ticker=MGNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();