Security Midwest Bancorp (SBMW) Operating Expenses (2024 - 2026)
Security Midwest Bancorp's Operating Expenses was $2.18 million in Q2 2026, up 12.7% from $1.94 million a year earlier.
Security Midwest Bancorp (SBMW) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Security Midwest Bancorp's Operating Expenses was $9.37 million through Jun 30, 2026, up 11.4% year-over-year; for FY2025, it was $9.03 million, up 10.4% from FY2024.
- In earlier years, Operating Expenses was $8.18 million in FY2024.
- Quarterly Operating Expenses has moved between $1.77 million (Q1 2024) and $3.18 million (Q4 2025) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Security Midwest Bancorp | 16.19 Mn | -138.12 Mn | - | 2.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.18 Mn |
| Dec 31, 2025 | 3.18 Mn |
| Sep 30, 2025 | 2.06 Mn |
| Jun 30, 2025 | 1.94 Mn |
| Mar 31, 2025 | 1.85 Mn |
| Dec 31, 2024 | 2.83 Mn |
| Sep 30, 2024 | 1.80 Mn |
| Jun 30, 2024 | 1.79 Mn |
| Mar 31, 2024 | 1.77 Mn |
Security Midwest Bancorp Operating 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=operating-expenses&ticker=SBMW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SBMW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();