Provident Financial Services (PFS) Occupancy Expense (2009 - 2026)
Provident Financial Services' Occupancy Expense was $13.16 million in Q3 2026, up 3.0% from $12.77 million a year earlier and up 5.6% from the prior quarter.
Provident Financial Services (PFS) Occupancy Expense (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Provident Financial Services' Occupancy Expense was $53.69 million through Sep 30, 2026, up 2.7% year-over-year; for FY2025, it was $52.79 million, up 17.3% from FY2024.
- Occupancy Expense shows a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- In earlier years, Occupancy Expense was $45.01 million in FY2024 (+39.5%), $32.27 million in FY2023 (-6.6%), $34.57 million in FY2022 (+5.0%) and $32.93 million in FY2021 (+21.3%).
- Quarterly Occupancy Expense has moved between $7.77 million (Q4 2021) and $14.99 million (Q1 2026) over five years.
- Compared with a year earlier, Occupancy Expense was higher in six of the last eight quarters, with growth averaging 19.0%.
- The best year-over-year quarter for Occupancy Expense over five years was Q1 2025 (growth of 63.5%); the worst was Q1 2023 (a decline of 9.9%).
- Per Business Quant data, PFS's Occupancy Expense in the three quarters before Q3 2026 was $12.46 million (Q2 2026), $14.99 million (Q1 2026) and $13.08 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.16 Mn |
| Jun 30, 2026 | 12.46 Mn |
| Mar 31, 2026 | 14.99 Mn |
| Dec 31, 2025 | 13.08 Mn |
| Sep 30, 2025 | 12.77 Mn |
| Jun 30, 2025 | 13.01 Mn |
| Mar 31, 2025 | 13.93 Mn |
| Dec 31, 2024 | 12.56 Mn |
| Sep 30, 2024 | 12.79 Mn |
| Jun 30, 2024 | 11.14 Mn |
| Mar 31, 2024 | 8.52 Mn |
| Dec 31, 2023 | 7.80 Mn |
| Sep 30, 2023 | 8.11 Mn |
| Jun 30, 2023 | 7.95 Mn |
| Mar 31, 2023 | 8.41 Mn |
| Dec 31, 2022 | 8.30 Mn |
| Sep 30, 2022 | 8.45 Mn |
| Jun 30, 2022 | 8.48 Mn |
| Mar 31, 2022 | 9.33 Mn |
| Dec 31, 2021 | 7.77 Mn |
Provident Financial Services Occupancy 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=occupancy-expense&ticker=PFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-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=occupancy-expense&ticker=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();