Steele Bancorp (STLE) Professional Fees (2024 - 2026)
Steele Bancorp (STLE) recorded Professional Fees of $100,000 in Q3 2026, down 10.7% from $112,000 a year earlier and down 45.7% from the prior quarter.
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Analysis
Steele Bancorp (STLE) Professional Fees (2024 - 2026) Analysis & Trends
On a TTM basis, Steele Bancorp's Professional Fees came in at $520,000 as of Sep 30, 2026, up 82.5% year-over-year; for FY2025, it came in at $315,000, up 55.9% from FY2024.
- Across earlier years, Professional Fees came in at $202,000 in FY2024.
- The Q3 2026 figure is the lowest quarterly Professional Fees since Q2 2025.
- On a year-over-year basis, Professional Fees rose in four of the last six quarters, with growth averaging 126.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Steele Bancorp | 172.09 Mn | 165.52 Mn | - | 184,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184,000.00 |
| Dec 31, 2025 | 124,000.00 |
| Sep 30, 2025 | 112,000.00 |
| Jun 30, 2025 | 33,000.00 |
| Mar 31, 2025 | 46,000.00 |
| Dec 31, 2024 | 94,000.00 |
| Sep 30, 2024 | 30,000.00 |
| Jun 30, 2024 | 29,000.00 |
| Mar 31, 2024 | 49,000.00 |
API Access
Steele Bancorp Professional Fees 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=professional-fees&ticker=STLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=STLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();