S&T Bancorp (STBA) Income After Tax (2009 - 2026)
S&T Bancorp (STBA) reported Income After Tax of $36.64 million for Q2 2026, up 14.9% from $31.9 million a year earlier and up 4.5% from the prior quarter.
S&T Bancorp (STBA) Income After Tax (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&T Bancorp's Income After Tax came in at $140.64 million, up 7.4% year-over-year; for FY2025, it came in at $134.23 million, up 2.3% from FY2024.
- Income After Tax has a five-year compound annual growth rate of 44.9% (FY2020 to FY2025).
- By year, Income After Tax came in at $131.27 million in FY2024 (-9.3%), $144.78 million in FY2023 (+6.8%), $135.52 million in FY2022 (+22.8%) and $110.34 million in FY2021 (+424.4%).
- The Q2 2026 figure ranks as the highest quarterly Income After Tax since Q4 2023.
- Year over year, Income After Tax has now increased in each of the last four quarters, with growth averaging 2.0% over the last eight quarters.
- The high point for year-over-year Income After Tax in five years was Q4 2022 (growth of 79.2%); the low point was Q1 2024 (a decline of 21.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.07 million (Q1 2026), $33.97 million (Q4 2025) and $34.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.94 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | S&T Bancorp | 1.81 Bn | -3.09 Bn | - | 38.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.60 Mn |
| Jun 30, 2026 | 36.64 Mn |
| Mar 31, 2026 | 35.07 Mn |
| Dec 31, 2025 | 33.97 Mn |
| Sep 30, 2025 | 34.96 Mn |
| Jun 30, 2025 | 31.90 Mn |
| Mar 31, 2025 | 33.40 Mn |
| Dec 31, 2024 | 33.07 Mn |
| Sep 30, 2024 | 32.59 Mn |
| Jun 30, 2024 | 34.37 Mn |
| Mar 31, 2024 | 31.24 Mn |
| Dec 31, 2023 | 37.05 Mn |
| Sep 30, 2023 | 33.47 Mn |
| Jun 30, 2023 | 34.47 Mn |
| Mar 31, 2023 | 39.80 Mn |
| Dec 31, 2022 | 40.27 Mn |
| Sep 30, 2022 | 37.25 Mn |
| Jun 30, 2022 | 28.86 Mn |
| Mar 31, 2022 | 29.14 Mn |
| Dec 31, 2021 | 22.48 Mn |
S&T Bancorp Income After Tax 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=profit-after-tax&ticker=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();