Magnolia Bancorp (MGNO) EBIT (2023 - 2026)
Magnolia Bancorp (MGNO) posted EBIT of -$7,000 for Q3 2026, compared with -$13,000 a year earlier.
Magnolia Bancorp (MGNO) EBIT (2023 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBIT at Magnolia Bancorp was -$41,000; 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 -$16,000 (Q2 2026), -$19,000 (Q1 2026) and $1,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 46.15 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 26.78 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 8.97 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 19.42 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 18.35 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 26.03 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 3.57 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 18.49 Bn |
| 10 | Magnolia Bancorp | 12.07 Mn | 12.07 Mn | - | -7,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -7,000.00 |
| 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();