Steele Bancorp (STLE) Wages, Salaries and Other (2024 - 2026)
Steele Bancorp's Wages, Salaries and Other came in at $4.44 million for Q3 2026, up 2.9% from $4.31 million a year earlier and unchanged from the prior quarter.
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Analysis
Steele Bancorp (STLE) Wages, Salaries and Other (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Steele Bancorp reported Wages, Salaries and Other of $16.43 million, up 61.8% year-over-year; for FY2025, it came in at $11.24 million, up 50.6% from FY2024.
- Going back by year, Wages, Salaries and Other was $7.46 million in FY2024.
- The five-year range for quarterly Wages, Salaries and Other is $1.75 million (Q1 2024) to $4.44 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 14.77 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 10.97 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.00 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.51 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.12 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 8.75 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Steele Bancorp | 172.09 Mn | 172.09 Mn | - | 4.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.44 Mn |
| Jun 30, 2026 | 4.44 Mn |
| Mar 31, 2026 | 4.43 Mn |
| Dec 31, 2025 | 3.24 Mn |
| Sep 30, 2025 | 4.31 Mn |
| Jun 30, 2025 | 1.89 Mn |
| Mar 31, 2025 | 1.80 Mn |
| Dec 31, 2024 | 2.16 Mn |
| Sep 30, 2024 | 1.78 Mn |
| Jun 30, 2024 | 1.77 Mn |
| Mar 31, 2024 | 1.75 Mn |
API Access
Steele Bancorp Wages, Salaries and Other 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=wages-salaries-and-other&ticker=STLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=STLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();