Wsfs Financial (WSFS) Property, Plant & Equipment (Net) (2011 - 2026)
Wsfs Financial (WSFS) reported Property, Plant & Equipment (Net) of $75.6 million for Q2 2026, down 10.4% from $84.36 million a year earlier and down 1.3% from the prior quarter.
Wsfs Financial (WSFS) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Wsfs Financial posted Property, Plant & Equipment (Net) of $80.32 million, down 6.6% from FY2024.
- Property, Plant & Equipment (Net) has declined for three consecutive years, with a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $86.03 million in FY2024 (-17.7%), $104.48 million in FY2023 (-9.6%), $115.6 million in FY2022 (+32.4%) and $87.3 million in FY2021 (-9.6%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2018.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 14 quarters, with an average decline of 13.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2022 (growth of 32.4%); the low point was Q3 2025 (a decline of 20.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $76.56 million (Q1 2026), $80.32 million (Q4 2025) and $82.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | Wsfs Financial | 3.99 Bn | -4.34 Bn | - | 75.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.60 Mn |
| Mar 31, 2026 | 76.56 Mn |
| Dec 31, 2025 | 80.32 Mn |
| Sep 30, 2025 | 82.75 Mn |
| Jun 30, 2025 | 84.36 Mn |
| Mar 31, 2025 | 85.24 Mn |
| Dec 31, 2024 | 86.03 Mn |
| Sep 30, 2024 | 104.40 Mn |
| Jun 30, 2024 | 104.02 Mn |
| Mar 31, 2024 | 104.62 Mn |
| Dec 31, 2023 | 104.48 Mn |
| Sep 30, 2023 | 105.00 Mn |
| Jun 30, 2023 | 108.39 Mn |
| Mar 31, 2023 | 112.13 Mn |
| Dec 31, 2022 | 115.60 Mn |
| Sep 30, 2022 | 118.90 Mn |
| Jun 30, 2022 | 120.61 Mn |
| Mar 31, 2022 | 122.72 Mn |
| Dec 31, 2021 | 87.30 Mn |
| Sep 30, 2021 | 90.96 Mn |
Wsfs Financial Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();