Provident Financial Services (PFS) Other Non-Interest Expense (2009 - 2026)
Analysis
Provident Financial Services (PFS) Other Non-Interest Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Int. Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 2.04 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 2.49 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 2.95 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 672.02 Mn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 11.61 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 2.54 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 1.69 Bn |
| 10 | Provident Financial Services | 3.03 Bn | 2.29 Bn | - | 15.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.38 Mn |
| Mar 31, 2026 | 13.97 Mn |
| Dec 31, 2025 | 15.44 Mn |
| Sep 30, 2025 | 13.46 Mn |
| Jun 30, 2025 | 14.49 Mn |
| Mar 31, 2025 | 16.42 Mn |
| Dec 31, 2024 | 17.35 Mn |
| Sep 30, 2024 | 15.76 Mn |
| Jun 30, 2024 | 11.26 Mn |
| Mar 31, 2024 | 10.33 Mn |
| Dec 31, 2023 | 15.64 Mn |
| Sep 30, 2023 | 10.73 Mn |
| Jun 30, 2023 | 9.95 Mn |
| Mar 31, 2023 | 11.80 Mn |
| Dec 31, 2022 | 12.19 Mn |
| Sep 30, 2022 | 10.91 Mn |
| Jun 30, 2022 | 8.85 Mn |
| Mar 31, 2022 | 6.98 Mn |
| Dec 31, 2021 | 9.93 Mn |
| Sep 30, 2021 | 9.87 Mn |
API Access
Provident Financial Services Other Non-Interest Expense 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=other-non-interest-expense&ticker=PFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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=other-non-interest-expense&ticker=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();