Wsfs Financial (WSFS) Other Non-Current Liabilities (2011 - 2026)
Wsfs Financial's Other Non-Current Liabilities came in at $615.99 million for Q2 2026, down 3.3% from $637.01 million a year earlier but up 3.8% from the prior quarter.
Wsfs Financial (WSFS) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Wsfs Financial's Other Non-Current Liabilities was $621.19 million, down 20.7% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $783.34 million in FY2024 (+10.5%), $709.01 million in FY2023 (-8.8%), $777.23 million in FY2022 (+115.9%) and $360.04 million in FY2021 (+4.2%).
- The five-year range for quarterly Other Non-Current Liabilities is $360.04 million (Q4 2021) to $858.93 million (Q3 2023).
- Year-over-year, Other Non-Current Liabilities has declined for six consecutive quarters, with an average decline of 11.1% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q4 2022 (growth of 115.9%), and the weakest in Q3 2024 (a decline of 22.9%).
- Business Quant data shows WSFS's Other Non-Current Liabilities at $593.7 million (Q1 2026), $621.19 million (Q4 2025) and $590.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 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 | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 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, 2026 | 615.99 Mn |
| Mar 31, 2026 | 593.70 Mn |
| Dec 31, 2025 | 621.19 Mn |
| Sep 30, 2025 | 590.58 Mn |
| Jun 30, 2025 | 637.01 Mn |
| Mar 31, 2025 | 654.64 Mn |
| Dec 31, 2024 | 783.34 Mn |
| Sep 30, 2024 | 662.58 Mn |
| Jun 30, 2024 | 776.15 Mn |
| Mar 31, 2024 | 763.55 Mn |
| Dec 31, 2023 | 709.01 Mn |
| Sep 30, 2023 | 858.93 Mn |
| Jun 30, 2023 | 725.14 Mn |
| Mar 31, 2023 | 672.92 Mn |
| Dec 31, 2022 | 777.23 Mn |
| Sep 30, 2022 | 779.41 Mn |
| Jun 30, 2022 | 594.86 Mn |
| Mar 31, 2022 | 445.65 Mn |
| Dec 31, 2021 | 360.04 Mn |
| Sep 30, 2021 | 462.80 Mn |
Wsfs Financial Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();