Peoples Financial Services (PFIS) Interest Expenses (2010 - 2026)
Peoples Financial Services' Interest Expenses came in at $22.15 million for Q2 2026, down 4.3% from $23.14 million a year earlier but up 1.4% from the prior quarter.
Peoples Financial Services (PFIS) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Peoples Financial Services reported Interest Expenses of $91.7 million, down 10.4% year-over-year; for FY2025, it came in at $93.74 million, down 1.8% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 45.6% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $95.47 million in FY2024 (+51.3%), $63.1 million in FY2023 (+304.9%), $15.59 million in FY2022 (+65.4%) and $9.42 million in FY2021 (-34.2%).
- The five-year range for quarterly Interest Expenses is $1.94 million (Q1 2022) to $29.04 million (Q3 2024).
- Year-over-year, Interest Expenses has declined for four consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2023 (growth of 570.0%), and the weakest in Q4 2021 (a decline of 37.2%).
- Business Quant data shows PFIS's Interest Expenses at $21.84 million (Q1 2026), $23.74 million (Q4 2025) and $23.98 million (Q3 2025) in the three quarters before Q2 2026.
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 | Peoples Financial Services | 674.30 Mn | -370.34 Mn | - | 22.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.15 Mn |
| Mar 31, 2026 | 21.84 Mn |
| Dec 31, 2025 | 23.74 Mn |
| Sep 30, 2025 | 23.98 Mn |
| Jun 30, 2025 | 23.14 Mn |
| Mar 31, 2025 | 22.88 Mn |
| Dec 31, 2024 | 27.29 Mn |
| Sep 30, 2024 | 29.04 Mn |
| Jun 30, 2024 | 19.46 Mn |
| Mar 31, 2024 | 19.68 Mn |
| Dec 31, 2023 | 19.80 Mn |
| Sep 30, 2023 | 17.49 Mn |
| Jun 30, 2023 | 14.64 Mn |
| Mar 31, 2023 | 11.23 Mn |
| Dec 31, 2022 | 7.23 Mn |
| Sep 30, 2022 | 4.23 Mn |
| Jun 30, 2022 | 2.19 Mn |
| Mar 31, 2022 | 1.94 Mn |
| Dec 31, 2021 | 2.06 Mn |
| Sep 30, 2021 | 2.18 Mn |
Peoples 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=PFIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();