Wsfs Financial (WSFS) EBT (2010 - 2026)
Wsfs Financial (WSFS) posted EBT of $111.12 million for Q2 2026, up 16.3% from $95.54 million a year earlier but down 2.9% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Wsfs Financial was $423.71 million, up 20.2% year-over-year; for FY2025, it came in at $380.61 million, up 9.6% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In prior years, Wsfs Financial's EBT was $347.26 million in FY2024 (-4.9%), $365.27 million in FY2023 (+21.5%), $300.61 million in FY2022 (-16.0%) and $357.7 million in FY2021 (+146.8%).
- Quarterly EBT has run from a low of $5.7 million in Q1 2022 to a high of $114.48 million in Q1 2026 over five years.
- On a year-over-year basis, EBT has increased in each of the last five quarters, with growth averaging 8.2% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was Q4 2022, with growth of 56.5%; the weakest was Q1 2022, with a decline of 93.4%.
- According to Business Quant data, EBT for the three prior quarters was $114.48 million (Q1 2026), $97.23 million (Q4 2025) and $100.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 279.77 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 11.57 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 7.35 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 5.56 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 7.02 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 8.56 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 8.05 Bn |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 111.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.12 Mn |
| Mar 31, 2026 | 114.48 Mn |
| Dec 31, 2025 | 97.23 Mn |
| Sep 30, 2025 | 100.87 Mn |
| Jun 30, 2025 | 95.54 Mn |
| Mar 31, 2025 | 86.97 Mn |
| Dec 31, 2024 | 84.35 Mn |
| Sep 30, 2024 | 85.52 Mn |
| Jun 30, 2024 | 90.47 Mn |
| Mar 31, 2024 | 86.93 Mn |
| Dec 31, 2023 | 92.87 Mn |
| Sep 30, 2023 | 97.17 Mn |
| Jun 30, 2023 | 91.63 Mn |
| Mar 31, 2023 | 83.60 Mn |
| Dec 31, 2022 | 112.47 Mn |
| Sep 30, 2022 | 99.11 Mn |
| Jun 30, 2022 | 83.33 Mn |
| Mar 31, 2022 | 5.70 Mn |
| Dec 31, 2021 | 71.89 Mn |
| Sep 30, 2021 | 71.97 Mn |
API Access
Wsfs Financial EBT 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=ebt&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();