Peoples Financial Services (PFIS) Loans - Loss Allowance (2010 - 2026)
Peoples Financial Services' Loans - Loss Allowance was $42.31 million in Q2 2026, up 3.5% from $40.89 million a year earlier and up 6.9% from the prior quarter.
Peoples Financial Services (PFIS) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, Loans - Loss Allowance at Peoples Financial Services came in at $39.01 million, down 6.6% from FY2024.
- Loans - Loss Allowance shows a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In earlier years, Loans - Loss Allowance was $41.78 million in FY2024 (+90.8%), $21.9 million in FY2023 (-20.3%), $27.47 million in FY2022 (-3.2%) and $28.38 million in FY2021 (+3.8%).
- The Q2 2026 figure marks the highest quarterly Loans - Loss Allowance in data going back to Q4 2010.
- Compared with a year earlier, Loans - Loss Allowance was higher in six of the last eight quarters, with growth averaging 39.4%.
- The best year-over-year quarter for Loans - Loss Allowance over five years was Q4 2024 (growth of 90.8%); the worst was Q3 2023 (a decline of 22.8%).
- Per Business Quant data, PFIS's Loans - Loss Allowance in the three quarters before Q2 2026 was $39.59 million (Q1 2026), $39.01 million (Q4 2025) and $39.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 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 | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Peoples Financial Services | 674.30 Mn | -370.34 Mn | - | 42.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.31 Mn |
| Mar 31, 2026 | 39.59 Mn |
| Dec 31, 2025 | 39.01 Mn |
| Sep 30, 2025 | 39.84 Mn |
| Jun 30, 2025 | 40.89 Mn |
| Mar 31, 2025 | 41.05 Mn |
| Dec 31, 2024 | 41.78 Mn |
| Sep 30, 2024 | 39.34 Mn |
| Jun 30, 2024 | 23.12 Mn |
| Mar 31, 2024 | 22.60 Mn |
| Dec 31, 2023 | 21.90 Mn |
| Sep 30, 2023 | 23.01 Mn |
| Jun 30, 2023 | 23.22 Mn |
| Mar 31, 2023 | 25.44 Mn |
| Dec 31, 2022 | 27.47 Mn |
| Sep 30, 2022 | 29.82 Mn |
| Jun 30, 2022 | 29.37 Mn |
| Mar 31, 2022 | 28.41 Mn |
| Dec 31, 2021 | 28.38 Mn |
| Sep 30, 2021 | 26.69 Mn |
Peoples 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=PFIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "ticker": "PFIS", "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=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();