Provident Financial Services (PFS) Depreciation and Depletion (2019 - 2025)
Provident Financial Services' Depreciation and Depletion came in at $14.2 million for FY2025, up 12.7% from $12.6 million in FY2024.
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Analysis
Provident Financial Services (PFS) Depreciation and Depletion (2019 - 2025) Analysis & Trends
Going back to FY2009, Provident Financial Services' Depreciation and Depletion data covers 17 years.
- Depreciation and Depletion carries a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Depreciation and Depletion in data going back to FY2009.
- Per Business Quant, earlier years put Depreciation and Depletion at $12.6 million in FY2024 (+44.8%), $8.7 million in FY2023 (-11.2%), $9.8 million in FY2022 (+8.9%) and $9 million in FY2021 (+18.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | - | 243.13 Mn |
| 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 |
|---|---|
| Dec 31, 2025 | 14.20 Mn |
| Dec 31, 2024 | -47.98 Mn |
| Dec 31, 2023 | 8.70 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Dec 31, 2020 | -9.02 Mn |
| Dec 31, 2019 | 7.70 Mn |
API Access
Provident Financial Services Depreciation and Depletion 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=depreciation-and-depletion&ticker=PFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();