Wsfs Financial (WSFS) Total Non-Current Liabilities (2011 - 2026)
Wsfs Financial (WSFS) recorded Total Non-Current Liabilities of $19.32 billion in Q2 2026, up 10.7% from $17.45 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Wsfs Financial reported Total Non-Current Liabilities of $17.95 billion, up 2.9% from FY2024.
- Annual Total Non-Current Liabilities has increased for 14 straight years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $17.45 billion in FY2024 (+0.2%), $17.42 billion in FY2023 (+2.8%), $16.94 billion in FY2022 (+25.6%) and $13.48 billion in FY2021 (+10.5%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2011.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 42.6% in Q1 2022, against a decline of 3.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.8 billion (Q1 2026), $17.95 billion (Q4 2025) and $17.5 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 19.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.32 Bn |
| Mar 31, 2026 | 18.80 Bn |
| Dec 31, 2025 | 17.95 Bn |
| Sep 30, 2025 | 17.50 Bn |
| Jun 30, 2025 | 17.45 Bn |
| Mar 31, 2025 | 17.23 Bn |
| Dec 31, 2024 | 17.45 Bn |
| Sep 30, 2024 | 17.58 Bn |
| Jun 30, 2024 | 17.49 Bn |
| Mar 31, 2024 | 17.35 Bn |
| Dec 31, 2023 | 17.42 Bn |
| Sep 30, 2023 | 16.95 Bn |
| Jun 30, 2023 | 17.35 Bn |
| Mar 31, 2023 | 17.34 Bn |
| Dec 31, 2022 | 16.94 Bn |
| Sep 30, 2022 | 17.11 Bn |
| Jun 30, 2022 | 17.64 Bn |
| Mar 31, 2022 | 18.00 Bn |
| Dec 31, 2021 | 13.48 Bn |
| Sep 30, 2021 | 13.01 Bn |
API Access
Wsfs Financial Total 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=total-non-current-liabilities&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();