S&T Bancorp (STBA) Cash from Operations (2009 - 2026)
S&T Bancorp (STBA) reported Cash from Operations of $27.81 million for Q2 2026, down 1.7% from $28.28 million a year earlier and down 34.6% from the prior quarter.
S&T Bancorp (STBA) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&T Bancorp's Cash from Operations came in at $146.75 million, up 5.2% year-over-year; for FY2025, it came in at $133.62 million, down 22.9% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- By year, Cash from Operations came in at $173.37 million in FY2024 (+0.9%), $171.75 million in FY2023 (-28.6%), $240.53 million in FY2022 (+11.9%) and $214.85 million in FY2021 (+316.8%).
- The Q2 2026 figure ranks as the lowest quarterly Cash from Operations since Q3 2024.
- Year over year, Cash from Operations gained in three of the last eight quarters, with growth averaging 0.9%.
- The high point for year-over-year Cash from Operations in five years was Q4 2024 (growth of 76.9%); the low point was Q3 2024 (a decline of 52.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $42.53 million (Q1 2026), $36.15 million (Q4 2025) and $40.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 33.16 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | -6.50 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | -46.02 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 25.17 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 4.18 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 8.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | S&T Bancorp | 1.81 Bn | -3.09 Bn | - | 67.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 67.90 Mn |
| Jun 30, 2026 | 27.81 Mn |
| Mar 31, 2026 | 42.53 Mn |
| Dec 31, 2025 | 34.77 Mn |
| Sep 30, 2025 | 41.65 Mn |
| Jun 30, 2025 | 28.28 Mn |
| Mar 31, 2025 | 28.91 Mn |
| Dec 31, 2024 | 54.61 Mn |
| Sep 30, 2024 | 27.64 Mn |
| Jun 30, 2024 | 44.75 Mn |
| Mar 31, 2024 | 46.38 Mn |
| Dec 31, 2023 | 30.88 Mn |
| Sep 30, 2023 | 57.83 Mn |
| Jun 30, 2023 | 38.79 Mn |
| Mar 31, 2023 | 44.26 Mn |
| Dec 31, 2022 | 35.29 Mn |
| Sep 30, 2022 | 51.94 Mn |
| Jun 30, 2022 | 66.71 Mn |
| Mar 31, 2022 | 86.60 Mn |
| Dec 31, 2021 | 43.11 Mn |
S&T Bancorp Cash from Operations 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=cash-from-operations&ticker=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();