Central Pacific Financial (CPF) Weighted Average Shares Outstanding (2009 - 2026)
Central Pacific Financial (CPF) posted Weighted Average Shares Outstanding of 25.68 million for Q3 2026, down 4.8% from 26.97 million a year earlier and down 1.2% from the prior quarter.
Central Pacific Financial (CPF) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Central Pacific Financial's Weighted Average Shares Outstanding came in at 26.93 million, down 0.5% from FY2024.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Central Pacific Financial's Weighted Average Shares Outstanding was 27.06 million in FY2024 (+0.1%), 27.03 million in FY2023 (-1.4%), 27.4 million in FY2022 (-2.2%) and 28 million in FY2021 (-0.3%).
- The Q3 2026 figure stands as the lowest quarterly Weighted Average Shares Outstanding since Q1 2011.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last six quarters, with an average decline of 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q1 2024, with growth of 0.2%; the weakest was Q3 2026, with a decline of 4.8%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 26 million (Q2 2026), 26.28 million (Q1 2026) and 26.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Central Pacific Financial | 998.33 Mn | 998.33 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.68 Mn |
| Jun 30, 2026 | 26.00 Mn |
| Mar 31, 2026 | 26.28 Mn |
| Dec 31, 2025 | 26.93 Mn |
| Sep 30, 2025 | 26.97 Mn |
| Jun 30, 2025 | 26.99 Mn |
| Mar 31, 2025 | 27.09 Mn |
| Dec 31, 2024 | 27.06 Mn |
| Sep 30, 2024 | 27.06 Mn |
| Jun 30, 2024 | 27.05 Mn |
| Mar 31, 2024 | 27.05 Mn |
| Dec 31, 2023 | 27.03 Mn |
| Sep 30, 2023 | 27.04 Mn |
| Jun 30, 2023 | 27.02 Mn |
| Mar 31, 2023 | 27.00 Mn |
| Dec 31, 2022 | 27.40 Mn |
| Sep 30, 2022 | 27.36 Mn |
| Jun 30, 2022 | 27.52 Mn |
| Mar 31, 2022 | 27.59 Mn |
| Dec 31, 2021 | 28.00 Mn |
Central Pacific Financial Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "CPF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();