S&T Bancorp (STBA) Non Operating Interest Expenses (2010 - 2024)
S&T Bancorp (STBA) recorded Non Operating Interest Expenses of $45.17 million in Q2 2024, up 54.6% from $29.21 million a year earlier and up 2.0% from the prior quarter.
S&T Bancorp (STBA) Non Operating Interest Expenses (2010 - 2024) Analysis & Trends
On a TTM basis, S&T Bancorp's Non Operating Interest Expenses came in at $166.62 million as of Jun 30, 2024, up 133.0% year-over-year; for FY2023, it was $128.49 million, up 414.6% from FY2022.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 18.3% (FY2018 to FY2023).
- Across earlier years, Non Operating Interest Expenses came in at $24.97 million in FY2022 (+89.9%), $13.15 million in FY2021 (-68.0%), $41.08 million in FY2020 (-44.3%) and $73.69 million in FY2019 (+33.0%).
- The Q2 2024 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 313.0% over the last seven quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 830.6% in Q1 2023, against a decline of 76.5% in Q1 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.28 million (Q1 2024), $41.6 million (Q4 2023) and $35.57 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 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 | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 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 | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | S&T Bancorp | 1.71 Bn | -3.22 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 3.27 Mn |
| Mar 31, 2021 | 4.12 Mn |
| Dec 31, 2020 | 5.62 Mn |
| Sep 30, 2020 | 7.57 Mn |
| Jun 30, 2020 | 10.33 Mn |
| Mar 31, 2020 | 17.55 Mn |
| Dec 31, 2019 | 18.05 Mn |
| Sep 30, 2019 | 18.62 Mn |
S&T Bancorp Non Operating 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=non-operating-interest-expenses&ticker=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();