Provident Financial Services (PFS) Long-Term Investments (2009 - 2026)
Provident Financial Services' Long-Term Investments came in at $130.67 million for Q2 2026, up 2.9% from $127.02 million a year earlier but down 1.4% from the prior quarter.
Provident Financial Services (PFS) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Provident Financial Services' Long-Term Investments was $115.69 million, up 2.6% from FY2024.
- Long-Term Investments has increased in each of the last four years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Going back by year, Long-Term Investments was $112.77 million in FY2024 (+42.4%), $79.22 million in FY2023 (+15.6%), $68.55 million in FY2022 (+99.9%) and $34.29 million in FY2021 (-42.4%).
- The five-year range for quarterly Long-Term Investments is $23.97 million (Q1 2022) to $132.51 million (Q1 2026).
- Year-over-year, Long-Term Investments has increased for seven consecutive quarters, with growth averaging 20.2% over the last eight quarters.
- The fastest year-over-year change in Long-Term Investments over five years came in Q1 2023 (growth of 235.9%), and the weakest in Q3 2021 (a decline of 51.3%).
- Business Quant data shows PFS's Long-Term Investments at $132.51 million (Q1 2026), $115.69 million (Q4 2025) and $119.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 24.30 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 255.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Provident Financial Services | 2.89 Bn | 2.15 Bn | - | 130.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.67 Mn |
| Mar 31, 2026 | 132.51 Mn |
| Dec 31, 2025 | 115.69 Mn |
| Sep 30, 2025 | 119.55 Mn |
| Jun 30, 2025 | 127.02 Mn |
| Mar 31, 2025 | 126.92 Mn |
| Dec 31, 2024 | 112.77 Mn |
| Sep 30, 2024 | 96.22 Mn |
| Jun 30, 2024 | 100.07 Mn |
| Mar 31, 2024 | 77.75 Mn |
| Dec 31, 2023 | 79.22 Mn |
| Sep 30, 2023 | 101.25 Mn |
| Jun 30, 2023 | 93.33 Mn |
| Mar 31, 2023 | 80.52 Mn |
| Dec 31, 2022 | 68.55 Mn |
| Sep 30, 2022 | 55.72 Mn |
| Jun 30, 2022 | 54.84 Mn |
| Mar 31, 2022 | 23.97 Mn |
| Dec 31, 2021 | 34.29 Mn |
| Sep 30, 2021 | 34.04 Mn |
Provident Financial Services Long-Term Investments 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=long-term-investments&ticker=PFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();