S&T Bancorp (STBA) Change in Net Loans (2010 - 2026)
S&T Bancorp's Change in Net Loans was $106.96 million in Q2 2026, up 8.1% from $98.98 million a year earlier.
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Analysis
S&T Bancorp (STBA) Change in Net Loans (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, S&T Bancorp's Change in Net Loans was $164.19 million through Jun 30, 2026, down 26.5% year-over-year; for FY2025, it came in at $360.47 million, up 239.3% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier years, Change in Net Loans was $106.24 million in FY2024 (-78.4%), $492.8 million in FY2023 (+156.1%), $192.4 million in FY2022 and -$173.4 million in FY2021.
- Quarterly Change in Net Loans has moved between -$110.95 million (Q1 2026) and $199.74 million (Q3 2023) over five years.
- Compared with a year earlier, Change in Net Loans was higher in four of the last five quarters, with growth averaging 111.8%.
- The best year-over-year quarter for Change in Net Loans over five years was Q1 2025 (growth of 418.3%); the worst was Q1 2024 (a decline of 71.7%).
- Per Business Quant data, STBA's Change in Net Loans in the three quarters before Q2 2026 was -$110.95 million (Q1 2026), $119.02 million (Q4 2025) and $49.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | S&T Bancorp | 1.71 Bn | -3.22 Bn | - | 106.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.96 Mn |
| Mar 31, 2026 | -110.95 Mn |
| Dec 31, 2025 | 119.02 Mn |
| Sep 30, 2025 | 49.16 Mn |
| Jun 30, 2025 | 98.98 Mn |
| Mar 31, 2025 | 93.31 Mn |
| Dec 31, 2024 | 53.70 Mn |
| Sep 30, 2024 | -22.47 Mn |
| Jun 30, 2024 | 57.01 Mn |
| Mar 31, 2024 | 18.00 Mn |
| Dec 31, 2023 | 143.95 Mn |
| Sep 30, 2023 | 199.74 Mn |
| Jun 30, 2023 | 85.46 Mn |
| Mar 31, 2023 | 63.65 Mn |
| Dec 31, 2022 | 90.48 Mn |
| Sep 30, 2022 | 56.48 Mn |
| Jun 30, 2022 | 83.89 Mn |
| Mar 31, 2022 | -38.45 Mn |
| Dec 31, 2021 | 47.45 Mn |
| Sep 30, 2021 | -19.31 Mn |
API Access
S&T Bancorp Change in Net Loans 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=change-in-net-loans&ticker=STBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();