Wsfs Financial (WSFS) Total Liabilities (2010 - 2026)
Wsfs Financial's Total Liabilities came in at $19.93 billion for Q2 2026, up 10.2% from $18.09 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Wsfs Financial's Total Liabilities was $18.58 billion, up 1.9% from FY2024.
- Total Liabilities has increased in each of the last 15 years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $18.23 billion in FY2024 (+0.6%), $18.12 billion in FY2023 (+2.3%), $17.71 billion in FY2022 (+28.0%) and $13.84 billion in FY2021 (+10.3%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 42.3%), and the weakest in Q1 2023 (a decline of 2.3%).
- Business Quant data shows WSFS's Total Liabilities at $19.39 billion (Q1 2026), $18.58 billion (Q4 2025) and $18.09 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 19.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.93 Bn |
| Mar 31, 2026 | 19.39 Bn |
| Dec 31, 2025 | 18.58 Bn |
| Sep 30, 2025 | 18.09 Bn |
| Jun 30, 2025 | 18.09 Bn |
| Mar 31, 2025 | 17.89 Bn |
| Dec 31, 2024 | 18.23 Bn |
| Sep 30, 2024 | 18.24 Bn |
| Jun 30, 2024 | 18.27 Bn |
| Mar 31, 2024 | 18.11 Bn |
| Dec 31, 2023 | 18.12 Bn |
| Sep 30, 2023 | 17.81 Bn |
| Jun 30, 2023 | 18.08 Bn |
| Mar 31, 2023 | 18.02 Bn |
| Dec 31, 2022 | 17.71 Bn |
| Sep 30, 2022 | 17.88 Bn |
| Jun 30, 2022 | 18.24 Bn |
| Mar 31, 2022 | 18.45 Bn |
| Dec 31, 2021 | 13.84 Bn |
| Sep 30, 2021 | 13.47 Bn |
API Access
Wsfs Financial Total 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-liabilities&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();