Wsfs Financial (WSFS) Retained Earnings (2011 - 2026)
Wsfs Financial (WSFS) reported Retained Earnings of $2.27 billion for Q2 2026, up 14.2% from $1.99 billion a year earlier and up 3.4% from the prior quarter.
Wsfs Financial (WSFS) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, Wsfs Financial posted Retained Earnings of $2.12 billion, up 13.4% from FY2024.
- Retained Earnings has increased for 14 consecutive years, with a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- By year, Retained Earnings came in at $1.87 billion in FY2024 (+13.9%), $1.64 billion in FY2023 (+16.5%), $1.41 billion in FY2022 (+15.2%) and $1.22 billion in FY2021 (+25.3%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2011.
- Year over year, Retained Earnings has now increased in each of the last 20 quarters, with growth averaging 13.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 13.0% (Q2 2022) to 27.2% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.2 billion (Q1 2026), $2.12 billion (Q4 2025) and $2.06 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 2.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.27 Bn |
| Mar 31, 2026 | 2.20 Bn |
| Dec 31, 2025 | 2.12 Bn |
| Sep 30, 2025 | 2.06 Bn |
| Jun 30, 2025 | 1.99 Bn |
| Mar 31, 2025 | 1.93 Bn |
| Dec 31, 2024 | 1.87 Bn |
| Sep 30, 2024 | 1.82 Bn |
| Jun 30, 2024 | 1.76 Bn |
| Mar 31, 2024 | 1.70 Bn |
| Dec 31, 2023 | 1.64 Bn |
| Sep 30, 2023 | 1.59 Bn |
| Jun 30, 2023 | 1.52 Bn |
| Mar 31, 2023 | 1.46 Bn |
| Dec 31, 2022 | 1.41 Bn |
| Sep 30, 2022 | 1.34 Bn |
| Jun 30, 2022 | 1.27 Bn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 1.22 Bn |
| Sep 30, 2021 | 1.17 Bn |
Wsfs Financial Retained Earnings 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=retained-earnings&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();