Wsfs Financial (WSFS) Cash Due from Bank (2011 - 2026)
Wsfs Financial (WSFS) recorded Cash Due from Bank of $2.17 billion in Q2 2026, up 141.5% from $899.71 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) Cash Due from Bank (2011 - 2026) Analysis & Trends
At the end of FY2025, Wsfs Financial reported Cash Due from Bank of $1.33 billion, up 83.5% from FY2024.
- Annual Cash Due from Bank has increased for three straight years, with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Across earlier years, Cash Due from Bank came in at $722.72 million in FY2024 (+14.8%), $629.31 million in FY2023 (+89.0%), $332.96 million in FY2022 (-68.2%) and $1.05 billion in FY2021 (-15.9%).
- The Q2 2026 figure is the highest quarterly Cash Due from Bank in data going back to Q4 2011.
- On a year-over-year basis, Cash Due from Bank has increased for five consecutive quarters, with growth averaging 87.6% over the last eight quarters.
- Peak year-over-year performance for Cash Due from Bank in the last five years was growth of 198.0% in Q1 2026, against a decline of 71.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.07 billion (Q1 2026), $1.33 billion (Q4 2025) and $1.2 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 28.10 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 505.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 42.16 Bn |
| 10 | Wsfs Financial | 3.99 Bn | -4.34 Bn | - | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 Bn |
| Mar 31, 2026 | 2.07 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.20 Bn |
| Jun 30, 2025 | 899.71 Mn |
| Mar 31, 2025 | 693.83 Mn |
| Dec 31, 2024 | 722.72 Mn |
| Sep 30, 2024 | 571.80 Mn |
| Jun 30, 2024 | 618.45 Mn |
| Mar 31, 2024 | 787.73 Mn |
| Dec 31, 2023 | 629.31 Mn |
| Sep 30, 2023 | 260.20 Mn |
| Jun 30, 2023 | 723.03 Mn |
| Mar 31, 2023 | 686.79 Mn |
| Dec 31, 2022 | 332.96 Mn |
| Sep 30, 2022 | 443.10 Mn |
| Jun 30, 2022 | 1.04 Bn |
| Mar 31, 2022 | 1.78 Bn |
| Dec 31, 2021 | 1.05 Bn |
| Sep 30, 2021 | 1.54 Bn |
API Access
Wsfs Financial Cash Due from Bank 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-due-from-bank&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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-due-from-bank&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();