S&T Bancorp (STBA) Provision for Credit Losses (2009 - 2026)
S&T Bancorp (STBA) posted Provision for Credit Losses of $1.11 million for Q2 2026, down 43.7% from $1.97 million a year earlier and down 37.5% from the prior quarter.
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Analysis
S&T Bancorp (STBA) Provision for Credit Losses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Credit Losses at S&T Bancorp was $11.38 million; for FY2025, it was $7.42 million, up 310.3% from FY2024.
- Annual Provision for Credit Losses shows a five-year compound annual growth rate of -43.7% (FY2020 to FY2025).
- In prior years, S&T Bancorp's Provision for Credit Losses was $1.81 million in FY2024 (-90.6%), $19.24 million in FY2023 (+130.0%), $8.37 million in FY2022 (-48.4%) and $16.22 million in FY2021 (-87.7%).
- The Q2 2026 figure stands as the lowest quarterly Provision for Credit Losses since Q1 2025.
- The strongest year-over-year quarter for Provision for Credit Losses in the past five years was Q2 2023, with growth of 228.6%; the weakest was Q2 2024, with a decline of 90.9%.
- According to Business Quant data, Provision for Credit Losses for the three prior quarters was $1.78 million (Q1 2026), $5.7 million (Q4 2025) and $2.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | S&T Bancorp | 1.81 Bn | -3.09 Bn | - | 1.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.99 Mn |
| Jun 30, 2026 | 1.11 Mn |
| Mar 31, 2026 | 1.78 Mn |
| Dec 31, 2025 | 5.70 Mn |
| Sep 30, 2025 | 2.79 Mn |
| Jun 30, 2025 | 1.97 Mn |
| Mar 31, 2025 | -3.04 Mn |
| Dec 31, 2024 | -2.46 Mn |
| Sep 30, 2024 | -454,000.00 |
| Jun 30, 2024 | 960,000.00 |
| Mar 31, 2024 | 3.43 Mn |
| Dec 31, 2023 | 943,000.00 |
| Sep 30, 2023 | 6.16 Mn |
| Jun 30, 2023 | 10.53 Mn |
| Mar 31, 2023 | 1.09 Mn |
| Dec 31, 2022 | 3.18 Mn |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | 3.20 Mn |
| Mar 31, 2022 | -698,000.00 |
| Dec 31, 2021 | 7.13 Mn |
API Access
S&T Bancorp Provision for Credit Losses 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=provision-for-credit-losses&ticker=STBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();