S&T Bancorp (STBA) Wages, Salaries and Other (2010 - 2026)
S&T Bancorp (STBA) posted Wages, Salaries and Other of $32.68 million for Q2 2026, down 0.7% from $32.91 million a year earlier but up 4.2% from the prior quarter.
S&T Bancorp (STBA) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Wages, Salaries and Other at S&T Bancorp was $128.92 million, up 3.3% year-over-year; for FY2025, it was $127.65 million, up 4.6% from FY2024.
- Annual Wages, Salaries and Other has increased for seven consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, S&T Bancorp's Wages, Salaries and Other was $121.99 million in FY2024 (+9.4%), $111.46 million in FY2023 (+8.0%), $103.22 million in FY2022 (+3.0%) and $100.21 million in FY2021 (+11.2%).
- Quarterly Wages, Salaries and Other has run from a low of $23.71 million in Q1 2022 to a high of $32.91 million in Q2 2025 over five years.
- On a year-over-year basis, Wages, Salaries and Other increased in six of the last eight quarters, with growth averaging 4.5%.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q2 2024, with growth of 19.7%; the weakest was Q2 2026, with a decline of 0.7%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $31.36 million (Q1 2026), $32.71 million (Q4 2025) and $32.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | S&T Bancorp | 1.75 Bn | -3.18 Bn | - | 32.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.68 Mn |
| Mar 31, 2026 | 31.36 Mn |
| Dec 31, 2025 | 32.71 Mn |
| Sep 30, 2025 | 32.18 Mn |
| Jun 30, 2025 | 32.91 Mn |
| Mar 31, 2025 | 29.85 Mn |
| Dec 31, 2024 | 30.82 Mn |
| Sep 30, 2024 | 31.27 Mn |
| Jun 30, 2024 | 30.39 Mn |
| Mar 31, 2024 | 29.51 Mn |
| Dec 31, 2023 | 30.95 Mn |
| Sep 30, 2023 | 27.52 Mn |
| Jun 30, 2023 | 25.39 Mn |
| Mar 31, 2023 | 27.60 Mn |
| Dec 31, 2022 | 28.00 Mn |
| Sep 30, 2022 | 26.70 Mn |
| Jun 30, 2022 | 24.81 Mn |
| Mar 31, 2022 | 23.71 Mn |
| Dec 31, 2021 | 27.14 Mn |
| Sep 30, 2021 | 25.23 Mn |
S&T 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=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();