Magnolia Bancorp (MGNO) Change in Accured Expenses (2023 - 2026)
Magnolia Bancorp's Change in Accured Expenses came in at $3,000 for Q2 2026, down 50.0% from $6,000 a year earlier and down 90.9% from the prior quarter.
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Analysis
Magnolia Bancorp (MGNO) Change in Accured Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Magnolia Bancorp reported Change in Accured Expenses of $26,000; for FY2025, it came in at -$84,000.
- Going back by year, Change in Accured Expenses was $82,000 in FY2024 and -$119,000 in FY2023.
- The five-year range for quarterly Change in Accured Expenses is -$114,000 (Q3 2024) to $197,000 (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Magnolia Bancorp | 12.44 Mn | 12.44 Mn | - | 3,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,000.00 |
| Mar 31, 2026 | 33,000.00 |
| Sep 30, 2025 | -10,000.00 |
| Jun 30, 2025 | 6,000.00 |
| Mar 31, 2025 | -80,000.00 |
| Dec 31, 2024 | 94,000.00 |
| Sep 30, 2024 | -114,000.00 |
| Jun 30, 2024 | 197,000.00 |
| Mar 31, 2024 | -95,000.00 |
| Dec 31, 2023 | -63,000.00 |
API Access
Magnolia Bancorp Change in Accured 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=change-in-accured-expenses&ticker=MGNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();