Apa (APA) Shares Outstanding (Diluted) (2019 - 2026)
Apa (APA) posted Weighted Average Shares Outstanding (Diluted) of 354 million for Q2 2026, down 1.9% from 361 million a year earlier and unchanged from the prior quarter.
Apa (APA) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Apa's Weighted Average Shares Outstanding (Diluted) came in at 359 million, up 1.7% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Apa's Weighted Average Shares Outstanding (Diluted) was 353 million in FY2024 (+14.2%), 309 million in FY2023 (-7.2%), 333 million in FY2022 (-11.2%) and 375 million in FY2021 (-0.8%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 302 million in Q1 2024 to a high of 379 million in Q3 2021 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q1 2025, with growth of 20.5%; the weakest was Q3 2022, with a decline of 12.9%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 354 million (Q1 2026), 359 million (Q4 2025) and 358 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 688.13 Bn | 646.27 Bn | - | 4.42 Bn |
| 2 | Chevron | 418.95 Bn | 385.99 Bn | 31.26 Bn | 1.96 Bn |
| 3 | Shell | 293.27 Bn | 153.54 Bn | - | 2.97 Bn |
| 4 | TotalEnergies SE | 194.26 Bn | 65.34 Bn | 31,614.00 | 2.57 Bn |
| 5 | Eni Spa | 168.66 Bn | 108.29 Bn | - | 3.09 Bn |
| 6 | Conocophillips | 167.23 Bn | 139.94 Bn | 12.81 Bn | 1.21 Bn |
| 7 | Equinor Asa | 109.45 Bn | 22.30 Bn | 4.49 Bn | 2.60 Bn |
| 8 | Canadian Natural Resources | 102.50 Bn | 96.40 Bn | 9.35 Bn | 2.10 Bn |
| 9 | Phillips 66 | 98.70 Bn | 82.49 Bn | 10.69 Bn | 398.95 Mn |
| 10 | Apa | 15.77 Bn | 14.45 Bn | 2.48 Bn | 350.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 350.00 Mn |
| Jun 30, 2026 | 354.00 Mn |
| Mar 31, 2026 | 354.00 Mn |
| Dec 31, 2025 | 359.00 Mn |
| Sep 30, 2025 | 358.00 Mn |
| Jun 30, 2025 | 361.00 Mn |
| Mar 31, 2025 | 364.00 Mn |
| Dec 31, 2024 | 353.00 Mn |
| Sep 30, 2024 | 370.00 Mn |
| Jun 30, 2024 | 372.00 Mn |
| Mar 31, 2024 | 302.00 Mn |
| Dec 31, 2023 | 309.00 Mn |
| Sep 30, 2023 | 308.00 Mn |
| Jun 30, 2023 | 309.00 Mn |
| Mar 31, 2023 | 312.00 Mn |
| Dec 31, 2022 | 333.00 Mn |
| Sep 30, 2022 | 330.00 Mn |
| Jun 30, 2022 | 342.00 Mn |
| Mar 31, 2022 | 347.00 Mn |
| Dec 31, 2021 | 375.00 Mn |
Apa 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=APA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "APA", "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=APA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();