Security Midwest Bancorp (SBMW) Change in Accured Expenses (2024 - 2025)
Security Midwest Bancorp's Change in Accured Expenses came in at $1.21 million for Q4 2025, compared with $21,418 a year earlier and up 327.1% from the prior quarter.
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Analysis
Security Midwest Bancorp (SBMW) Change in Accured Expenses (2024 - 2025) Analysis & Trends
For FY2025, Security Midwest Bancorp's Change in Accured Expenses was $998,665.
- Going back by year, Change in Accured Expenses was -$293,507 in FY2024.
- The Q4 2025 figure represents the highest quarterly Change in Accured Expenses in data going back to Q1 2024.
- Business Quant data shows SBMW's Change in Accured Expenses at $284,478 (Q3 2025), -$219,260 (Q2 2025) and -$281,527 (Q1 2025) in the three quarters before Q4 2025.
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 | Security Midwest Bancorp | 16.19 Mn | -138.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.21 Mn |
| Sep 30, 2025 | 284,478.00 |
| Jun 30, 2025 | -219,260.00 |
| Mar 31, 2025 | -281,527.00 |
| Dec 31, 2024 | 21,418.00 |
| Sep 30, 2024 | -11,800.00 |
| Jun 30, 2024 | -410,905.00 |
| Mar 31, 2024 | 107,780.00 |
API Access
Security Midwest 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=SBMW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SBMW", "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=SBMW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();