Wsfs Financial (WSFS) Cash from Operations (2010 - 2026)
Wsfs Financial's Cash from Operations was -$12.71 million in Q2 2026, compared with $37.18 million a year earlier.
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Analysis
Wsfs Financial (WSFS) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wsfs Financial's Cash from Operations was $247.73 million through Jun 30, 2026, up 129.1% year-over-year; for FY2025, it came in at $220 million, unchanged from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 70.8% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $219.9 million in FY2024 (-7.2%), $237 million in FY2023 (-50.7%), $480.85 million in FY2022 (+282.7%) and $125.65 million in FY2021 (+729.8%).
- The Q2 2026 figure marks the lowest quarterly Cash from Operations since Q4 2023.
- Compared with a year earlier, Cash from Operations was higher in 1 of the last five quarters, with growth averaging 133.8%.
- The best year-over-year quarter for Cash from Operations over five years was Q1 2026 (growth of 887.6%); the worst was Q3 2024 (a decline of 98.1%).
- Per Business Quant data, WSFS's Cash from Operations in the three quarters before Q2 2026 was $86.37 million (Q1 2026), $52.55 million (Q4 2025) and $121.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - | -12.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.71 Mn |
| Mar 31, 2026 | 86.37 Mn |
| Dec 31, 2025 | 52.55 Mn |
| Sep 30, 2025 | 121.52 Mn |
| Jun 30, 2025 | 37.18 Mn |
| Mar 31, 2025 | 8.75 Mn |
| Dec 31, 2024 | 59.04 Mn |
| Sep 30, 2024 | 3.15 Mn |
| Jun 30, 2024 | 44.84 Mn |
| Mar 31, 2024 | 112.87 Mn |
| Dec 31, 2023 | -50.80 Mn |
| Sep 30, 2023 | 165.25 Mn |
| Jun 30, 2023 | 92.37 Mn |
| Mar 31, 2023 | 30.19 Mn |
| Dec 31, 2022 | 73.95 Mn |
| Sep 30, 2022 | 167.73 Mn |
| Jun 30, 2022 | 180.98 Mn |
| Mar 31, 2022 | 58.19 Mn |
| Dec 31, 2021 | -163.87 Mn |
| Sep 30, 2021 | 200.44 Mn |
API Access
Wsfs Financial Cash from Operations 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-from-operations&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();