Wsfs Financial (WSFS) Non Operating Interest Expenses (2010 - 2024)
Wsfs Financial (WSFS) posted Non Operating Interest Expenses of $90.79 million for Q2 2024, up 51.5% from $59.93 million a year earlier and up 5.1% from the prior quarter.
Wsfs Financial (WSFS) Non Operating Interest Expenses (2010 - 2024) Analysis & Trends
For the trailing twelve months through Jun 30, 2024, Non Operating Interest Expenses at Wsfs Financial was $324.77 million, up 144.7% year-over-year; for FY2023, it was $251.42 million, up 514.3% from FY2022.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 40.1% (FY2018 to FY2023).
- In prior years, Wsfs Financial's Non Operating Interest Expenses was $40.93 million in FY2022 (+80.1%), $22.72 million in FY2021 (-53.1%), $48.45 million in FY2020 (-36.4%) and $76.14 million in FY2019 (+63.8%).
- The Q2 2024 figure stands as 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 in each of the last nine quarters, with growth averaging 376.0% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2023, with growth of 835.6%; the weakest was Q1 2021, with a decline of 59.9%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $86.34 million (Q1 2024), $79.1 million (Q4 2023) and $68.54 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 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 90.79 Mn |
| Mar 31, 2024 | 86.34 Mn |
| Dec 31, 2023 | 79.10 Mn |
| Sep 30, 2023 | 68.54 Mn |
| Jun 30, 2023 | 59.93 Mn |
| Mar 31, 2023 | 43.85 Mn |
| Dec 31, 2022 | 19.21 Mn |
| Sep 30, 2022 | 9.73 Mn |
| Jun 30, 2022 | 6.41 Mn |
| Mar 31, 2022 | 5.58 Mn |
| Dec 31, 2021 | 4.51 Mn |
| Sep 30, 2021 | 4.96 Mn |
| Jun 30, 2021 | 6.15 Mn |
| Mar 31, 2021 | 7.10 Mn |
| Dec 31, 2020 | 8.30 Mn |
| Sep 30, 2020 | 10.32 Mn |
| Jun 30, 2020 | 12.13 Mn |
| Mar 31, 2020 | 17.71 Mn |
| Dec 31, 2019 | 19.78 Mn |
| Sep 30, 2019 | 20.43 Mn |
Wsfs Financial 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=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "WSFS", "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=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();