S&T Bancorp (STBA) Operating Expenses (2010 - 2026)
S&T Bancorp's Operating Expenses was $58.66 million in Q2 2026, up 0.9% from $58.11 million a year earlier and up 3.5% from the prior quarter.
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Analysis
S&T Bancorp (STBA) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, S&T Bancorp's Operating Expenses was $228.92 million through Jun 30, 2026, up 2.2% year-over-year; for FY2025, it came in at $226.76 million, up 3.6% from FY2024.
- Operating Expenses has now increased for seven consecutive years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $218.94 million in FY2024 (+4.1%), $210.33 million in FY2023 (+6.9%), $196.75 million in FY2022 (+4.1%) and $188.93 million in FY2021 (+1.2%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 2.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 9.6%); the worst was Q3 2021 (a decline of 2.1%).
- Per Business Quant data, STBA's Operating Expenses in the three quarters before Q2 2026 was $56.71 million (Q1 2026), $57.18 million (Q4 2025) and $56.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | S&T Bancorp | 1.72 Bn | -3.21 Bn | - | 58.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.66 Mn |
| Mar 31, 2026 | 56.71 Mn |
| Dec 31, 2025 | 57.18 Mn |
| Sep 30, 2025 | 56.38 Mn |
| Jun 30, 2025 | 58.11 Mn |
| Mar 31, 2025 | 55.09 Mn |
| Dec 31, 2024 | 55.45 Mn |
| Sep 30, 2024 | 55.37 Mn |
| Jun 30, 2024 | 53.61 Mn |
| Mar 31, 2024 | 54.52 Mn |
| Dec 31, 2023 | 56.20 Mn |
| Sep 30, 2023 | 52.80 Mn |
| Jun 30, 2023 | 49.63 Mn |
| Mar 31, 2023 | 51.70 Mn |
| Dec 31, 2022 | 51.28 Mn |
| Sep 30, 2022 | 49.63 Mn |
| Jun 30, 2022 | 48.42 Mn |
| Mar 31, 2022 | 47.41 Mn |
| Dec 31, 2021 | 50.19 Mn |
| Sep 30, 2021 | 47.24 Mn |
API Access
S&T 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=STBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();