Expand Energy (EXE) Shares Outstanding (Diluted) (2009 - 2026)
Expand Energy's Shares Outstanding (Diluted) was 238.36 million in Q2 2026, down 0.9% from 240.56 million a year earlier and down 1.0% from the prior quarter.
Expand Energy (EXE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Expand Energy came in at 240.37 million, up 53.1% from FY2024.
- Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 89.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 156.99 million in FY2024 (+9.8%), 142.98 million in FY2023 (-2.0%), 145.96 million in FY2022 (+25.5%) and 116.34 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q1 2025.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in six of the last eight quarters, with growth averaging 35.8%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2021 (growth of 904.3%); the worst was Q2 2024 (a decline of 8.4%).
- Per Business Quant data, EXE's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 240.76 million (Q1 2026), 240.37 million (Q4 2025) and 239.89 million (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 | Expand Energy | 19.47 Bn | 15.36 Bn | 2.31 Bn | 238.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238.36 Mn |
| Mar 31, 2026 | 240.76 Mn |
| Dec 31, 2025 | 240.37 Mn |
| Sep 30, 2025 | 239.89 Mn |
| Jun 30, 2025 | 240.56 Mn |
| Mar 31, 2025 | 234.43 Mn |
| Dec 31, 2024 | 156.99 Mn |
| Sep 30, 2024 | 133.79 Mn |
| Jun 30, 2024 | 131.17 Mn |
| Mar 31, 2024 | 141.75 Mn |
| Dec 31, 2023 | 142.98 Mn |
| Sep 30, 2023 | 142.35 Mn |
| Jun 30, 2023 | 143.27 Mn |
| Mar 31, 2023 | 144.73 Mn |
| Dec 31, 2022 | 145.96 Mn |
| Sep 30, 2022 | 144.39 Mn |
| Jun 30, 2022 | 149.53 Mn |
| Mar 31, 2022 | 120.81 Mn |
| Dec 31, 2021 | 116.34 Mn |
| Sep 30, 2021 | 98.22 Mn |
Expand Energy 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=EXE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EXE", "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=EXE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();