Conocophillips (COP) Shares Outstanding (Diluted) (2009 - 2026)
Conocophillips (COP) posted Shares Outstanding (Diluted) of 1.21 billion for Q2 2026, down 3.6% from 1.26 billion a year earlier and down 0.9% from the prior quarter.
Conocophillips (COP) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Conocophillips' Shares Outstanding (Diluted) came in at 1.25 billion, up 6.1% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Conocophillips' Shares Outstanding (Diluted) was 1.18 billion in FY2024 (-2.1%), 1.21 billion in FY2023 (-5.6%), 1.28 billion in FY2022 (-3.8%) and 1.33 billion in FY2021 (+23.2%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 2.0%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2021, with growth of 24.0%; the weakest was Q2 2023, with a decline of 6.6%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 1.23 billion (Q1 2026), 1.25 billion (Q4 2025) and 1.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 5.95 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 1.98 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | 2.57 Bn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | 3.09 Bn |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 1.21 Bn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | 2.60 Bn |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 402.62 Mn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 2.10 Bn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | 1.22 Bn |
| 10 | Eog Resources | 72.25 Bn | 56.57 Bn | - | 529.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 1.23 Bn |
| Dec 31, 2025 | 1.25 Bn |
| Sep 30, 2025 | 1.25 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 1.16 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 1.20 Bn |
| Jun 30, 2023 | 1.21 Bn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.28 Bn |
| Sep 30, 2022 | 1.27 Bn |
| Jun 30, 2022 | 1.30 Bn |
| Mar 31, 2022 | 1.31 Bn |
| Dec 31, 2021 | 1.33 Bn |
| Sep 30, 2021 | 1.34 Bn |
Conocophillips 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=COP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "COP", "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=COP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();