S&T Bancorp (STBA) Loans - Loss Allowance (2010 - 2026)
S&T Bancorp's Loans - Loss Allowance came in at $93.32 million for Q2 2026, down 5.3% from $98.58 million a year earlier but up 0.1% from the prior quarter.
S&T Bancorp (STBA) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, S&T Bancorp's Loans - Loss Allowance was $93.18 million, down 8.2% from FY2024.
- Loans - Loss Allowance carries a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- Going back by year, Loans - Loss Allowance was $101.49 million in FY2024 (-6.0%), $107.97 million in FY2023 (+6.5%), $101.34 million in FY2022 (+2.8%) and $98.58 million in FY2021 (-16.2%).
- The five-year range for quarterly Loans - Loss Allowance is $93.18 million (Q4 2025) to $108.35 million (Q3 2021).
- Year-over-year, Loans - Loss Allowance has declined for eight consecutive quarters, with an average decline of 5.9% over the last eight quarters.
- The fastest year-over-year change in Loans - Loss Allowance over five years came in Q3 2023 (growth of 8.5%), and the weakest in Q4 2021 (a decline of 16.2%).
- Business Quant data shows STBA's Loans - Loss Allowance at $93.27 million (Q1 2026), $93.18 million (Q4 2025) and $98.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 347,603.00 |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.91 Bn |
| 10 | S&T Bancorp | 1.72 Bn | -3.21 Bn | - | 93.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.32 Mn |
| Mar 31, 2026 | 93.27 Mn |
| Dec 31, 2025 | 93.18 Mn |
| Sep 30, 2025 | 98.16 Mn |
| Jun 30, 2025 | 98.58 Mn |
| Mar 31, 2025 | 99.01 Mn |
| Dec 31, 2024 | 101.49 Mn |
| Sep 30, 2024 | 104.32 Mn |
| Jun 30, 2024 | 106.15 Mn |
| Mar 31, 2024 | 104.80 Mn |
| Dec 31, 2023 | 107.97 Mn |
| Sep 30, 2023 | 108.21 Mn |
| Jun 30, 2023 | 105.76 Mn |
| Mar 31, 2023 | 108.11 Mn |
| Dec 31, 2022 | 101.34 Mn |
| Sep 30, 2022 | 99.69 Mn |
| Jun 30, 2022 | 98.09 Mn |
| Mar 31, 2022 | 99.92 Mn |
| Dec 31, 2021 | 98.58 Mn |
| Sep 30, 2021 | 108.35 Mn |
S&T Bancorp Loans - Loss Allowance 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=loans-loss-allowance&ticker=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();