Peoples Financial Services (PFIS) Retained Earnings (2010 - 2026)
Peoples Financial Services' Retained Earnings was $290.56 million in Q2 2026, up 12.4% from $258.6 million a year earlier and up 3.0% from the prior quarter.
Peoples Financial Services (PFIS) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Peoples Financial Services came in at $273.5 million, up 14.5% from FY2024.
- Retained Earnings shows a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $238.96 million in FY2024 (-3.9%), $248.55 million in FY2023 (+7.8%), $230.52 million in FY2022 (+13.1%) and $203.75 million in FY2021 (+19.1%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2010.
- Compared with a year earlier, Retained Earnings has increased for five straight quarters, with growth averaging 6.0% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was Q4 2021 (growth of 19.1%); the worst was Q4 2024 (a decline of 3.9%).
- Per Business Quant data, PFIS's Retained Earnings in the three quarters before Q2 2026 was $282 million (Q1 2026), $273.5 million (Q4 2025) and $267.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Peoples Financial Services | 674.30 Mn | -370.34 Mn | - | 290.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 290.56 Mn |
| Mar 31, 2026 | 282.00 Mn |
| Dec 31, 2025 | 273.50 Mn |
| Sep 30, 2025 | 267.69 Mn |
| Jun 30, 2025 | 258.60 Mn |
| Mar 31, 2025 | 247.81 Mn |
| Dec 31, 2024 | 238.96 Mn |
| Sep 30, 2024 | 239.02 Mn |
| Jun 30, 2024 | 249.51 Mn |
| Mar 31, 2024 | 249.12 Mn |
| Dec 31, 2023 | 248.55 Mn |
| Sep 30, 2023 | 247.86 Mn |
| Jun 30, 2023 | 244.02 Mn |
| Mar 31, 2023 | 237.52 Mn |
| Dec 31, 2022 | 230.52 Mn |
| Sep 30, 2022 | 224.24 Mn |
| Jun 30, 2022 | 217.14 Mn |
| Mar 31, 2022 | 210.58 Mn |
| Dec 31, 2021 | 203.75 Mn |
| Sep 30, 2021 | 190.06 Mn |
Peoples Financial Services Retained Earnings 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=retained-earnings&ticker=PFIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();