Wsfs Financial (WSFS) EBIT (2010 - 2026)
Wsfs Financial (WSFS) recorded EBIT of $175.46 million in Q2 2026, up 3.7% from $169.24 million a year earlier but down 1.7% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Wsfs Financial's EBIT came in at $696.37 million as of Jun 30, 2026, up 2.0% year-over-year; for FY2025, it was $674.21 million, down 4.4% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $705.4 million in FY2024 (+14.4%), $616.69 million in FY2023 (+80.6%), $341.53 million in FY2022 (-10.2%) and $380.42 million in FY2021 (+96.7%).
- Quarterly EBIT has ranged from $11.28 million in Q1 2022 to $181.4 million in Q3 2024 over the past five years.
- On a year-over-year basis, EBIT rose in three of the last eight quarters, with growth averaging 0.5%.
- Peak year-over-year performance for EBIT in the last five years was growth of 72.4% in Q4 2022, against a decline of 88.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $178.56 million (Q1 2026), $167.08 million (Q4 2025) and $175.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 19.01 Bn |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 175.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.46 Mn |
| Mar 31, 2026 | 178.56 Mn |
| Dec 31, 2025 | 167.08 Mn |
| Sep 30, 2025 | 175.27 Mn |
| Jun 30, 2025 | 169.24 Mn |
| Mar 31, 2025 | 162.63 Mn |
| Dec 31, 2024 | 169.48 Mn |
| Sep 30, 2024 | 181.40 Mn |
| Jun 30, 2024 | 181.25 Mn |
| Mar 31, 2024 | 173.27 Mn |
| Dec 31, 2023 | 171.97 Mn |
| Sep 30, 2023 | 165.70 Mn |
| Jun 30, 2023 | 151.56 Mn |
| Mar 31, 2023 | 127.45 Mn |
| Dec 31, 2022 | 131.67 Mn |
| Sep 30, 2022 | 108.85 Mn |
| Jun 30, 2022 | 89.73 Mn |
| Mar 31, 2022 | 11.28 Mn |
| Dec 31, 2021 | 76.40 Mn |
| Sep 30, 2021 | 76.93 Mn |
API Access
Wsfs Financial EBIT 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=ebit&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();