Security Midwest Bancorp (SBMW) Interest Expenses (2024 - 2026)
Security Midwest Bancorp's Interest Expenses came in at $886,911 for Q2 2026, up 62.1% from $547,016 a year earlier.
Security Midwest Bancorp (SBMW) Interest Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Security Midwest Bancorp reported Interest Expenses of $2.71 million, up 3.9% year-over-year; for FY2025, it was $2.4 million, down 16.5% from FY2024.
- Going back by year, Interest Expenses was $2.87 million in FY2024.
- The Q2 2026 figure represents the highest quarterly Interest Expenses in data going back to Q1 2024.
- Year-over-year, Interest Expenses increased in two of the last five quarters, with an average year-over-year change of 0.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Security Midwest Bancorp | 16.19 Mn | -138.12 Mn | - | 886,911.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 886,911.00 |
| Dec 31, 2025 | 739,031.00 |
| Sep 30, 2025 | 541,598.00 |
| Jun 30, 2025 | 547,016.00 |
| Mar 31, 2025 | 572,117.00 |
| Dec 31, 2024 | 708,885.00 |
| Sep 30, 2024 | 783,895.00 |
| Jun 30, 2024 | 772,561.00 |
| Mar 31, 2024 | 609,343.00 |
Security Midwest Bancorp Interest 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=interest-expenses&ticker=SBMW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=SBMW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();