Wsfs Financial (WSFS) Revenue (2010 - 2026)
Wsfs Financial (WSFS) recorded Revenue of $183.33 million in Q2 2026, up 7.3% from $170.78 million a year earlier and up 5.4% from the prior quarter.
Wsfs Financial (WSFS) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Wsfs Financial's Revenue came in at $692.85 million as of Jun 30, 2026, up 4.4% year-over-year; for FY2025, it came in at $663.5 million, up 1.1% from FY2024.
- Annual Revenue has increased for five straight years, with a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $656.3 million in FY2024 (+20.7%), $543.86 million in FY2023 (+12.2%), $484.88 million in FY2022 (+51.2%) and $320.64 million in FY2021 (+8.2%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue has increased for three consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 60.7% in Q2 2022, against a decline of 5.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $173.87 million (Q1 2026), $170.86 million (Q4 2025) and $164.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 13.30 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 22.62 Bn |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 183.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183.33 Mn |
| Mar 31, 2026 | 173.87 Mn |
| Dec 31, 2025 | 170.86 Mn |
| Sep 30, 2025 | 164.80 Mn |
| Jun 30, 2025 | 170.78 Mn |
| Mar 31, 2025 | 157.06 Mn |
| Dec 31, 2024 | 160.86 Mn |
| Sep 30, 2024 | 175.11 Mn |
| Jun 30, 2024 | 171.72 Mn |
| Mar 31, 2024 | 144.62 Mn |
| Dec 31, 2023 | 158.49 Mn |
| Sep 30, 2023 | 137.46 Mn |
| Jun 30, 2023 | 128.54 Mn |
| Mar 31, 2023 | 119.38 Mn |
| Dec 31, 2022 | 123.14 Mn |
| Sep 30, 2022 | 120.64 Mn |
| Jun 30, 2022 | 125.72 Mn |
| Mar 31, 2022 | 115.38 Mn |
| Dec 31, 2021 | 85.32 Mn |
| Sep 30, 2021 | 78.10 Mn |
Wsfs Financial Revenue 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=revenue&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();