Wsfs Financial (WSFS) Interest Expenses (2010 - 2026)
Wsfs Financial (WSFS) reported Interest Expenses of $64.34 million for Q2 2026, down 12.7% from $73.7 million a year earlier but up 0.4% from the prior quarter.
Powered by 
Analysis
Wsfs Financial (WSFS) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Wsfs Financial's Interest Expenses came in at $272.65 million, down 17.5% year-over-year; for FY2025, it came in at $293.6 million, down 18.0% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 43.4% (FY2020 to FY2025).
- By year, Interest Expenses came in at $358.14 million in FY2024 (+42.4%), $251.42 million in FY2023 (+514.3%), $40.93 million in FY2022 (+80.1%) and $22.72 million in FY2021 (-53.1%).
- Five-year quarterly Interest Expenses spans a low of $4.51 million in Q4 2021 and a high of $95.88 million in Q3 2024.
- Year over year, Interest Expenses has now declined in each of the last six quarters, with an average decline of 6.5% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q2 2023 (growth of 835.6%); the low point was Q3 2021 (a decline of 51.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.07 million (Q1 2026), $69.85 million (Q4 2025) and $74.4 million (Q3 2025).
Peer Set
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 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - | 64.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.34 Mn |
| Mar 31, 2026 | 64.07 Mn |
| Dec 31, 2025 | 69.85 Mn |
| Sep 30, 2025 | 74.40 Mn |
| Jun 30, 2025 | 73.70 Mn |
| Mar 31, 2025 | 75.66 Mn |
| Dec 31, 2024 | 85.13 Mn |
| Sep 30, 2024 | 95.88 Mn |
| 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 |
API Access
Wsfs Financial 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=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();