Steele Bancorp (STLE) Operating Expenses (2024 - 2026)
Steele Bancorp (STLE) recorded Operating Expenses of $7.99 million in Q2 2026, up 155.0% from $3.13 million a year earlier.
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Analysis
Steele Bancorp (STLE) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Steele Bancorp's Operating Expenses came in at $30.56 million as of Jun 30, 2026, up 132.1% year-over-year; for FY2025, it was $25.66 million, up 103.9% from FY2024.
- Across earlier years, Operating Expenses came in at $12.59 million in FY2024.
- Quarterly Operating Expenses has ranged from $2.82 million in Q1 2024 to $10.92 million in Q3 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Steele Bancorp | 172.09 Mn | 165.52 Mn | - | 7.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.99 Mn |
| Dec 31, 2025 | 8.52 Mn |
| Sep 30, 2025 | 10.92 Mn |
| Jun 30, 2025 | 3.13 Mn |
| Mar 31, 2025 | 3.10 Mn |
| Dec 31, 2024 | 4.03 Mn |
| Sep 30, 2024 | 2.91 Mn |
| Jun 30, 2024 | 2.85 Mn |
| Mar 31, 2024 | 2.82 Mn |
API Access
Steele 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=STLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=STLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();