S&T Bancorp (STBA) Professional Fees (2010 - 2026)
S&T Bancorp's Professional Fees was $1.43 million in Q3 2026, up 19.4% from $1.2 million a year earlier and up 11.4% from the prior quarter.
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Analysis
S&T Bancorp (STBA) Professional Fees (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, S&T Bancorp's Professional Fees was $5.19 million through Sep 30, 2026, down 2.8% year-over-year; for FY2025, it came in at $5.45 million, down 0.3% from FY2024.
- Professional Fees has now declined for three consecutive years, with a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- In earlier years, Professional Fees was $5.47 million in FY2024 (-30.1%), $7.82 million in FY2023 (-6.0%), $8.32 million in FY2022 (+30.6%) and $6.37 million in FY2021 (-0.4%).
- The Q3 2026 figure marks the highest quarterly Professional Fees since Q2 2025.
- Compared with a year earlier, Professional Fees was higher in three of the last eight quarters, with an average decline of 5.8%.
- The best year-over-year quarter for Professional Fees over five years was Q2 2022 (growth of 45.4%); the worst was Q4 2024 (a decline of 43.3%).
- Per Business Quant data, STBA's Professional Fees in the three quarters before Q3 2026 was $1.29 million (Q2 2026), $1.25 million (Q1 2026) and $1.23 million (Q4 2025).
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 | S&T Bancorp | 1.80 Bn | -3.10 Bn | - | 1.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.43 Mn |
| Jun 30, 2026 | 1.29 Mn |
| Mar 31, 2026 | 1.25 Mn |
| Dec 31, 2025 | 1.23 Mn |
| Sep 30, 2025 | 1.20 Mn |
| Jun 30, 2025 | 1.74 Mn |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Sep 30, 2024 | 1.23 Mn |
| Jun 30, 2024 | 1.40 Mn |
| Mar 31, 2024 | 1.72 Mn |
| Dec 31, 2023 | 1.97 Mn |
| Sep 30, 2023 | 1.97 Mn |
| Jun 30, 2023 | 2.07 Mn |
| Mar 31, 2023 | 1.82 Mn |
| Dec 31, 2022 | 2.14 Mn |
| Sep 30, 2022 | 1.85 Mn |
| Jun 30, 2022 | 2.38 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 1.65 Mn |
API Access
S&T 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=STBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "STBA", "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=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();