S&T Bancorp (STBA) Interest Expenses (2010 - 2026)
S&T Bancorp (STBA) reported Interest Expenses of $37.68 million for Q2 2026, down 11.0% from $42.33 million a year earlier and down 0.6% from the prior quarter.
S&T Bancorp (STBA) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&T Bancorp's Interest Expenses came in at $158.11 million, down 9.9% year-over-year; for FY2025, it was $166.39 million, down 8.1% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- By year, Interest Expenses came in at $181.07 million in FY2024 (+40.9%), $128.49 million in FY2023 (+414.6%), $24.97 million in FY2022 (+89.9%) and $13.15 million in FY2021 (-68.0%).
- The Q2 2026 figure ranks as the lowest quarterly Interest Expenses since Q3 2023.
- Year over year, Interest Expenses has now declined in each of the last six quarters, with an average decline of 1.6% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 830.6%); the low point was Q3 2021 (a decline of 59.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.9 million (Q1 2026), $40.15 million (Q4 2025) and $42.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | S&T Bancorp | 1.71 Bn | -3.22 Bn | - | 37.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.68 Mn |
| Mar 31, 2026 | 37.90 Mn |
| Dec 31, 2025 | 40.15 Mn |
| Sep 30, 2025 | 42.38 Mn |
| Jun 30, 2025 | 42.33 Mn |
| Mar 31, 2025 | 41.53 Mn |
| Dec 31, 2024 | 44.62 Mn |
| Sep 30, 2024 | 47.00 Mn |
| Jun 30, 2024 | 45.17 Mn |
| Mar 31, 2024 | 44.28 Mn |
| Dec 31, 2023 | 41.60 Mn |
| Sep 30, 2023 | 35.57 Mn |
| Jun 30, 2023 | 29.21 Mn |
| Mar 31, 2023 | 22.11 Mn |
| Dec 31, 2022 | 14.15 Mn |
| Sep 30, 2022 | 6.04 Mn |
| Jun 30, 2022 | 2.41 Mn |
| Mar 31, 2022 | 2.38 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Sep 30, 2021 | 3.06 Mn |
S&T Bancorp Interest Expenses 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=interest-expenses&ticker=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();