Peoples Financial Services (PFIS) Rent Expense (2011 - 2026)
Peoples Financial Services (PFIS) recorded Rent Expense of $7.34 million in Q2 2026, up 16.8% from $6.28 million a year earlier but down 4.4% from the prior quarter.
Peoples Financial Services (PFIS) Rent Expense (2011 - 2026) Analysis & Trends
On a TTM basis, Peoples Financial Services' Rent Expense came in at $29.57 million as of Jun 30, 2026, up 14.3% year-over-year; for FY2025, it was $27.45 million, up 23.1% from FY2024.
- Annual Rent Expense has increased for 13 straight years, with a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Across earlier years, Rent Expense came in at $22.3 million in FY2024 (+30.0%), $17.15 million in FY2023 (+3.4%), $16.58 million in FY2022 (+29.0%) and $12.85 million in FY2021 (+0.1%).
- Quarterly Rent Expense has ranged from $3.15 million in Q3 2021 to $7.68 million in Q1 2026 over the past five years.
- On a year-over-year basis, Rent Expense has increased for ten consecutive quarters, with growth averaging 28.8% over the last eight quarters.
- Peak year-over-year performance for Rent Expense in the last five years was growth of 49.7% in Q3 2024, against a decline of 5.7% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.68 million (Q1 2026), $7.33 million (Q4 2025) and $7.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | Peoples Financial Services | 674.30 Mn | -370.34 Mn | - | 7.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.34 Mn |
| Mar 31, 2026 | 7.68 Mn |
| Dec 31, 2025 | 7.33 Mn |
| Sep 30, 2025 | 7.22 Mn |
| Jun 30, 2025 | 6.28 Mn |
| Mar 31, 2025 | 6.61 Mn |
| Dec 31, 2024 | 6.55 Mn |
| Sep 30, 2024 | 6.43 Mn |
| Jun 30, 2024 | 4.59 Mn |
| Mar 31, 2024 | 4.72 Mn |
| Dec 31, 2023 | 4.47 Mn |
| Sep 30, 2023 | 4.30 Mn |
| Jun 30, 2023 | 4.28 Mn |
| Mar 31, 2023 | 4.10 Mn |
| Dec 31, 2022 | 4.52 Mn |
| Sep 30, 2022 | 4.03 Mn |
| Jun 30, 2022 | 4.08 Mn |
| Mar 31, 2022 | 3.83 Mn |
| Dec 31, 2021 | 3.38 Mn |
| Sep 30, 2021 | 3.15 Mn |
Peoples Financial Services Rent 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=rent-expense&ticker=PFIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();