Wsfs Financial (WSFS) Capital Expenditures (2010 - 2026)
Wsfs Financial (WSFS) recorded Capital Expenditures of $1.74 million in Q2 2026, down 12.2% from $1.98 million a year earlier but up 96.0% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Wsfs Financial's Capital Expenditures came in at $4.6 million as of Jun 30, 2026, down 60.7% year-over-year; for FY2025, it came in at $6.39 million, down 55.2% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $14.26 million in FY2024 (+122.6%), $6.41 million in FY2023 (-27.3%), $8.81 million in FY2022 (+34.0%) and $6.58 million in FY2021 (-8.1%).
- Quarterly Capital Expenditures has ranged from $749,000 in Q4 2025 to $4.23 million in Q1 2024 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for six consecutive quarters, with an average decline of 8.3% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 394.5% in Q1 2024, against a decline of 79.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $885,000 (Q1 2026), $749,000 (Q4 2025) and $1.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 819.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 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 | - | 502.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 1.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 Mn |
| Mar 31, 2026 | 885,000.00 |
| Dec 31, 2025 | 749,000.00 |
| Sep 30, 2025 | 1.23 Mn |
| Jun 30, 2025 | 1.98 Mn |
| Mar 31, 2025 | 2.43 Mn |
| Dec 31, 2024 | 3.66 Mn |
| Sep 30, 2024 | 3.64 Mn |
| Jun 30, 2024 | 2.72 Mn |
| Mar 31, 2024 | 4.23 Mn |
| Dec 31, 2023 | 3.45 Mn |
| Sep 30, 2023 | 1.14 Mn |
| Jun 30, 2023 | 956,000.00 |
| Mar 31, 2023 | 856,000.00 |
| Dec 31, 2022 | 1.14 Mn |
| Sep 30, 2022 | 3.23 Mn |
| Jun 30, 2022 | 2.79 Mn |
| Mar 31, 2022 | 1.65 Mn |
| Dec 31, 2021 | 1.85 Mn |
| Sep 30, 2021 | 1.72 Mn |
API Access
Wsfs Financial Capital Expenditures 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=capital-expenditures&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();