Wsfs Financial (WSFS) Restructuring Costs (2010 - 2026)
Wsfs Financial (WSFS) reported Restructuring Costs of $2.8 million for Q1 2026, up 975.4% from $260,000 a year earlier.
Analysis
Wsfs Financial (WSFS) Restructuring Costs (2010 - 2026) Analysis & Trends
For FY2025, Wsfs Financial posted Restructuring Costs of $532,000, down 75.7% from FY2024.
- Restructuring Costs has a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- By year, Restructuring Costs came in at $2.19 million in FY2024, -$230,000 in FY2023, $22.47 million in FY2022 and $1.35 million in FY2021 (+163.9%).
- The Q1 2026 figure ranks as the highest quarterly Restructuring Costs since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | -126,000.00 |
| Sep 30, 2025 | 398,000.00 |
| Mar 31, 2025 | 260,000.00 |
| Dec 31, 2024 | 2.19 Mn |
| Dec 31, 2023 | 557,000.00 |
| Jun 30, 2023 | -26,000.00 |
| Mar 31, 2023 | -761,000.00 |
| Dec 31, 2022 | -319,000.00 |
| Sep 30, 2022 | 1.34 Mn |
| Jun 30, 2022 | 3.93 Mn |
| Mar 31, 2022 | 17.51 Mn |
| Dec 31, 2021 | 1.76 Mn |
| Jun 30, 2021 | -144,000.00 |
| Mar 31, 2021 | -265,000.00 |
| Dec 31, 2020 | 510,000.00 |
| Dec 31, 2019 | 1.53 Mn |
| Sep 30, 2019 | 8.36 Mn |
| Jun 30, 2019 | 1.88 Mn |
| Mar 31, 2019 | 4.36 Mn |
API Access
Wsfs Financial Restructuring Costs 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=restructuring-costs&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();