Provident Financial Services (PFS) Interest Expenses (2009 - 2026)
Provident Financial Services (PFS) reported Interest Expenses of $123.92 million for Q2 2026, down 4.1% from $129.21 million a year earlier but up 2.1% from the prior quarter.
Provident Financial Services (PFS) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Provident Financial Services' Interest Expenses came in at $504.62 million, down 3.3% year-over-year; for FY2025, it came in at $512.21 million, up 15.0% from FY2024.
- Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 58.8% (FY2020 to FY2025).
- By year, Interest Expenses came in at $445.52 million in FY2024 (+105.9%), $216.37 million in FY2023 (+344.9%), $48.63 million in FY2022 (+33.9%) and $36.32 million in FY2021 (-28.4%).
- Five-year quarterly Interest Expenses spans a low of $6.46 million in Q1 2022 and a high of $138.82 million in Q3 2024.
- Year over year, Interest Expenses has now declined in each of the last four quarters, with growth averaging 37.4% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q2 2023 (growth of 645.8%); the low point was Q1 2022 (a decline of 38.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $121.32 million (Q1 2026), $127.43 million (Q4 2025) and $131.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Provident Financial Services | 2.89 Bn | 2.15 Bn | - | 123.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.92 Mn |
| Mar 31, 2026 | 121.32 Mn |
| Dec 31, 2025 | 127.43 Mn |
| Sep 30, 2025 | 131.95 Mn |
| Jun 30, 2025 | 129.21 Mn |
| Mar 31, 2025 | 123.62 Mn |
| Dec 31, 2024 | 130.21 Mn |
| Sep 30, 2024 | 138.82 Mn |
| Jun 30, 2024 | 106.31 Mn |
| Mar 31, 2024 | 70.19 Mn |
| Dec 31, 2023 | 68.38 Mn |
| Sep 30, 2023 | 61.96 Mn |
| Jun 30, 2023 | 50.79 Mn |
| Mar 31, 2023 | 35.23 Mn |
| Dec 31, 2022 | 23.11 Mn |
| Sep 30, 2022 | 12.24 Mn |
| Jun 30, 2022 | 6.81 Mn |
| Mar 31, 2022 | 6.46 Mn |
| Dec 31, 2021 | 7.78 Mn |
| Sep 30, 2021 | 8.37 Mn |
Provident Financial Services Interest Expenses 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=interest-expenses&ticker=PFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();