Peoples Financial Services (PFIS) Shares Outstanding (Diluted) (2010 - 2026)
Peoples Financial Services' Shares Outstanding (Diluted) came in at 10.04 million for Q2 2026, down 0.5% from 10.08 million a year earlier but up 0.1% from the prior quarter.
Peoples Financial Services (PFIS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Peoples Financial Services' Shares Outstanding (Diluted) was 10.07 million, up 17.3% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 8.59 million in FY2024 (+20.1%), 7.15 million in FY2023 (-0.8%), 7.21 million in FY2022 (-0.3%) and 7.24 million in FY2021 (-1.4%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 7.1 million (Q1 2024) to 10.09 million (Q3 2025).
- Year-over-year, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 20.2%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2025 (growth of 41.7%), and the weakest in Q4 2021 (a decline of 1.4%).
- Business Quant data shows PFIS's Shares Outstanding (Diluted) at 10.03 million (Q1 2026), 10.07 million (Q4 2025) and 10.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | Peoples Financial Services | 674.30 Mn | -370.34 Mn | - | 10.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.04 Mn |
| Mar 31, 2026 | 10.03 Mn |
| Dec 31, 2025 | 10.07 Mn |
| Sep 30, 2025 | 10.09 Mn |
| Jun 30, 2025 | 10.08 Mn |
| Mar 31, 2025 | 10.04 Mn |
| Dec 31, 2024 | 8.59 Mn |
| Sep 30, 2024 | 10.04 Mn |
| Jun 30, 2024 | 7.11 Mn |
| Mar 31, 2024 | 7.10 Mn |
| Dec 31, 2023 | 7.15 Mn |
| Sep 30, 2023 | 7.12 Mn |
| Jun 30, 2023 | 7.18 Mn |
| Mar 31, 2023 | 7.20 Mn |
| Dec 31, 2022 | 7.21 Mn |
| Sep 30, 2022 | 7.21 Mn |
| Jun 30, 2022 | 7.22 Mn |
| Mar 31, 2022 | 7.22 Mn |
| Dec 31, 2021 | 7.24 Mn |
| Sep 30, 2021 | 7.23 Mn |
Peoples Financial Services Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PFIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();