Provident Financial Services (PFS) Restructuring Costs (2022 - 2026)
Provident Financial Services (PFS) posted Restructuring Costs of $1.51 million for Q2 2026.
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Analysis
Provident Financial Services (PFS) Restructuring Costs (2022 - 2026) Analysis & Trends
For FY2024, Provident Financial Services' Restructuring Costs came in at $56.87 million, up 626.6% from FY2023.
- In prior years, Provident Financial Services' Restructuring Costs was $7.83 million in FY2023 (+89.6%) and $4.13 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Restructuring Costs since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Provident Financial Services | 3.02 Bn | 2.01 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.66 Mn |
| Jun 30, 2026 | 1.51 Mn |
| Dec 31, 2024 | 20.18 Mn |
| Sep 30, 2024 | 15.57 Mn |
| Jun 30, 2024 | 18.92 Mn |
| Mar 31, 2024 | 2.20 Mn |
| Dec 31, 2023 | 2.48 Mn |
| Sep 30, 2023 | 2.29 Mn |
| Jun 30, 2023 | 1.96 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 1.24 Mn |
| Sep 30, 2022 | 2.89 Mn |
API Access
Provident Financial Services 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=PFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "PFS", "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=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();