Wsfs Financial (WSFS) Cash & Equivalents (2010 - 2026)
Wsfs Financial (WSFS) reported Cash & Equivalents of $2.57 billion for Q2 2026, up 93.1% from $1.33 billion a year earlier and up 4.0% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Wsfs Financial posted Cash & Equivalents of $1.7 billion, up 47.1% from FY2024.
- Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $1.15 billion in FY2024 (+5.7%), $1.09 billion in FY2023 (+30.5%), $837.26 million in FY2022 (-45.4%) and $1.53 billion in FY2021 (-7.4%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to Q4 2010.
- Year over year, Cash & Equivalents has now increased in each of the last eight quarters, with growth averaging 55.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2026 (growth of 143.0%); the low point was Q1 2023 (a decline of 51.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.47 billion (Q1 2026), $1.7 billion (Q4 2025) and $1.57 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Wsfs Financial | 3.91 Bn | -4.41 Bn | - | 2.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.57 Bn |
| Mar 31, 2026 | 2.47 Bn |
| Dec 31, 2025 | 1.70 Bn |
| Sep 30, 2025 | 1.57 Bn |
| Jun 30, 2025 | 1.33 Bn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 1.15 Bn |
| Sep 30, 2024 | 990.92 Mn |
| Jun 30, 2024 | 1.02 Bn |
| Mar 31, 2024 | 977.07 Mn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 611.48 Mn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 837.26 Mn |
| Sep 30, 2022 | 1.03 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 2.28 Bn |
| Dec 31, 2021 | 1.53 Bn |
| Sep 30, 2021 | 2.02 Bn |
API Access
Wsfs Financial Cash & Equivalents 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=cash-and-equivalents&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();