Magnolia Bancorp (MGNO) Accumulated Expenses (2023 - 2026)
Magnolia Bancorp (MGNO) recorded Accumulated Expenses of $99,000 in Q2 2026, up 26.9% from $78,000 a year earlier and up 3.1% from the prior quarter.
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Analysis
Magnolia Bancorp (MGNO) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Magnolia Bancorp reported Accumulated Expenses of $63,000, down 62.5% from FY2024.
- Across earlier years, Accumulated Expenses came in at $168,000 in FY2024 (+175.4%) and $61,000 in FY2023.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses since Q4 2024.
- On a year-over-year basis, Accumulated Expenses rose in four of the last five quarters, with growth averaging 40.9%.
- Per Business Quant, the preceding three quarters came in at $96,000 (Q1 2026), $63,000 (Q4 2025) and $80,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 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 | - |
| 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 | - |
| 10 | Magnolia Bancorp | 12.57 Mn | 12.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99,000.00 |
| Mar 31, 2026 | 96,000.00 |
| Dec 31, 2025 | 63,000.00 |
| Sep 30, 2025 | 80,000.00 |
| Jun 30, 2025 | 78,000.00 |
| Mar 31, 2025 | 66,000.00 |
| Dec 31, 2024 | 168,000.00 |
| Sep 30, 2024 | 67,000.00 |
| Dec 31, 2023 | 61,000.00 |
API Access
Magnolia Bancorp Accumulated Expenses 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=accumulated-expenses&ticker=MGNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();