Wsfs Financial (WSFS) Wages, Salaries and Other (2010 - 2026)
Wsfs Financial (WSFS) posted Wages, Salaries and Other of $95.77 million for Q2 2026, up 7.4% from $89.15 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Wages, Salaries and Other at Wsfs Financial was $372.86 million, up 8.0% year-over-year; for FY2025, it was $356.83 million, up 7.3% from FY2024.
- Annual Wages, Salaries and Other has increased for 16 consecutive years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In prior years, Wsfs Financial's Wages, Salaries and Other was $332.68 million in FY2024 (+15.0%), $289.19 million in FY2023 (+1.9%), $283.91 million in FY2022 (+32.6%) and $214.17 million in FY2021 (+10.2%).
- The Q2 2026 figure stands as the highest quarterly Wages, Salaries and Other in data going back to Q2 2010.
- On a year-over-year basis, Wages, Salaries and Other has increased in each of the last ten quarters, with growth averaging 11.2% over the last eight quarters.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q3 2022, with growth of 35.5%; the weakest was Q4 2023, with a decline of 4.1%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $91.89 million (Q1 2026), $93.55 million (Q4 2025) and $91.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | Wsfs Financial | 3.99 Bn | -4.34 Bn | - | 95.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.77 Mn |
| Mar 31, 2026 | 91.89 Mn |
| Dec 31, 2025 | 93.55 Mn |
| Sep 30, 2025 | 91.66 Mn |
| Jun 30, 2025 | 89.15 Mn |
| Mar 31, 2025 | 82.48 Mn |
| Dec 31, 2024 | 87.50 Mn |
| Sep 30, 2024 | 86.12 Mn |
| Jun 30, 2024 | 83.25 Mn |
| Mar 31, 2024 | 75.81 Mn |
| Dec 31, 2023 | 69.52 Mn |
| Sep 30, 2023 | 74.45 Mn |
| Jun 30, 2023 | 72.37 Mn |
| Mar 31, 2023 | 72.85 Mn |
| Dec 31, 2022 | 72.49 Mn |
| Sep 30, 2022 | 72.29 Mn |
| Jun 30, 2022 | 68.19 Mn |
| Mar 31, 2022 | 70.93 Mn |
| Dec 31, 2021 | 55.28 Mn |
| Sep 30, 2021 | 53.34 Mn |
API Access
Wsfs Financial Wages, Salaries and Other 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=wages-salaries-and-other&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();