Magnolia Bancorp (MGNO) Loans - Gross (2023 - 2026)
Magnolia Bancorp (MGNO) reported Loans - Gross of $30.26 million for Q2 2026, down 2.8% from $31.14 million a year earlier and down 1.2% from the prior quarter.
Magnolia Bancorp (MGNO) Loans - Gross (2023 - 2026) Analysis & Trends
At the end of FY2025, Magnolia Bancorp posted Loans - Gross of $30.9 million, up 0.3% from FY2024.
- By year, Loans - Gross came in at $30.81 million in FY2024 (-4.3%) and $32.18 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Loans - Gross in data going back to Q4 2023.
- Year over year, Loans - Gross gained in two of the last five quarters, with an average decline of 1.3%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $30.62 million (Q1 2026), $30.9 million (Q4 2025) and $31.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Gross (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1,542.46 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1,217.62 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 800.51 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 | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1,031.12 Bn |
| 10 | Magnolia Bancorp | 12.57 Mn | 12.57 Mn | - | 30.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.26 Mn |
| Mar 31, 2026 | 30.62 Mn |
| Dec 31, 2025 | 30.90 Mn |
| Sep 30, 2025 | 31.46 Mn |
| Jun 30, 2025 | 31.14 Mn |
| Mar 31, 2025 | 31.00 Mn |
| Dec 31, 2024 | 30.81 Mn |
| Sep 30, 2024 | 30.99 Mn |
| Dec 31, 2023 | 32.18 Mn |
Magnolia Bancorp Loans - Gross 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=loans-gross&ticker=MGNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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=loans-gross&ticker=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();