Steele Bancorp (STLE) Other Operating Expenses (2024 - 2026)
Steele Bancorp (STLE) reported Other Operating Expenses of $1.2 million for Q2 2026, up 175.7% from $436,000 a year earlier.
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Analysis
Steele Bancorp (STLE) Other Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Steele Bancorp's Other Operating Expenses came in at $4.41 million, up 139.7% year-over-year; for FY2025, it was $3.61 million, up 112.2% from FY2024.
- By year, Other Operating Expenses came in at $1.7 million in FY2024.
- Five-year quarterly Other Operating Expenses spans a low of $337,000 in Q1 2024 and a high of $1.58 million in Q4 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 | Steele Bancorp | 159.05 Mn | 165.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Dec 31, 2025 | 1.58 Mn |
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 436,000.00 |
| Mar 31, 2025 | 400,000.00 |
| Dec 31, 2024 | 658,000.00 |
| Sep 30, 2024 | 345,000.00 |
| Jun 30, 2024 | 360,000.00 |
| Mar 31, 2024 | 337,000.00 |
API Access
Steele Bancorp Other 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=other-operating-expenses&ticker=STLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "STLE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=STLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();