Provident Financial Services (PFS) Loans - Loss Allowance (2009 - 2026)
Provident Financial Services' Loans - Loss Allowance was $189.47 million in Q3 2026, up 1.3% from $186.97 million a year earlier and up 2.6% from the prior quarter.
Provident Financial Services (PFS) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Loans - Loss Allowance at Provident Financial Services came in at $184.77 million, down 4.5% from FY2024.
- Loans - Loss Allowance shows a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In earlier years, Loans - Loss Allowance was $193.43 million in FY2024 (+80.4%), $107.2 million in FY2023 (+21.8%), $88.02 million in FY2022 (+9.0%) and $80.74 million in FY2021 (-20.4%).
- The Q3 2026 figure marks the highest quarterly Loans - Loss Allowance since Q1 2025.
- Compared with a year earlier, Loans - Loss Allowance was higher in three of the last eight quarters, with growth averaging 18.2%.
- The best year-over-year quarter for Loans - Loss Allowance over five years was Q2 2024 (growth of 84.5%); the worst was Q4 2021 (a decline of 20.4%).
- Per Business Quant data, PFS's Loans - Loss Allowance in the three quarters before Q3 2026 was $184.66 million (Q2 2026), $177 million (Q1 2026) and $184.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 26.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 13.01 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 | - | -5.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.82 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | -7.49 Bn |
| 10 | Provident Financial Services | 3.02 Bn | 2.01 Bn | - | 189.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 189.47 Mn |
| Jun 30, 2026 | 184.66 Mn |
| Mar 31, 2026 | 177.00 Mn |
| Dec 31, 2025 | 184.77 Mn |
| Sep 30, 2025 | 186.97 Mn |
| Jun 30, 2025 | 187.87 Mn |
| Mar 31, 2025 | 191.77 Mn |
| Dec 31, 2024 | 193.43 Mn |
| Sep 30, 2024 | 191.18 Mn |
| Jun 30, 2024 | 188.33 Mn |
| Mar 31, 2024 | 106.43 Mn |
| Dec 31, 2023 | 107.20 Mn |
| Sep 30, 2023 | 107.56 Mn |
| Jun 30, 2023 | 102.07 Mn |
| Mar 31, 2023 | 92.76 Mn |
| Dec 31, 2022 | 88.02 Mn |
| Sep 30, 2022 | 88.63 Mn |
| Jun 30, 2022 | 79.02 Mn |
| Mar 31, 2022 | 76.28 Mn |
| Dec 31, 2021 | 80.74 Mn |
Provident Financial Services Loans - Loss Allowance 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=loans-loss-allowance&ticker=PFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=PFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();