Peoples Financial Services (PFIS) Cash & Equivalents (2010 - 2026)
Peoples Financial Services (PFIS) recorded Cash & Equivalents of $256.25 million in Q2 2026, up 45.8% from $175.74 million a year earlier but down 22.0% from the prior quarter.
Peoples Financial Services (PFIS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Peoples Financial Services reported Cash & Equivalents of $268.98 million, up 98.0% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $135.85 million in FY2024 (-27.5%), $187.37 million in FY2023 (+394.8%), $37.87 million in FY2022 (-86.5%) and $279.93 million in FY2021 (+22.7%).
- Quarterly Cash & Equivalents has ranged from $37.87 million in Q4 2022 to $360.59 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 80.0% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 394.8% in Q4 2023, against a decline of 86.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $328.61 million (Q1 2026), $268.98 million (Q4 2025) and $179.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Peoples Financial Services | 682.41 Mn | -362.24 Mn | - | 256.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 256.25 Mn |
| Mar 31, 2026 | 328.61 Mn |
| Dec 31, 2025 | 268.98 Mn |
| Sep 30, 2025 | 179.92 Mn |
| Jun 30, 2025 | 175.74 Mn |
| Mar 31, 2025 | 77.10 Mn |
| Dec 31, 2024 | 135.85 Mn |
| Sep 30, 2024 | 285.47 Mn |
| Jun 30, 2024 | 49.96 Mn |
| Mar 31, 2024 | 109.97 Mn |
| Dec 31, 2023 | 187.37 Mn |
| Sep 30, 2023 | 254.54 Mn |
| Jun 30, 2023 | 136.69 Mn |
| Mar 31, 2023 | 140.58 Mn |
| Dec 31, 2022 | 37.87 Mn |
| Sep 30, 2022 | 113.01 Mn |
| Jun 30, 2022 | 47.73 Mn |
| Mar 31, 2022 | 141.50 Mn |
| Dec 31, 2021 | 279.93 Mn |
| Sep 30, 2021 | 360.59 Mn |
Peoples Financial Services Cash & Equivalents 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=cash-and-equivalents&ticker=PFIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();