Expand Energy (EXE) Shares Outstanding (Diluted) (2009 - 2026)
Expand Energy's Weighted Average Shares Outstanding (Diluted) was 231.73 million in Q3 2026, down 3.4% from 239.89 million a year earlier and down 2.8% from the prior quarter.
Expand Energy (EXE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Expand Energy came in at 240.37 million, up 53.1% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 89.7% (FY2020 to FY2025).
- In earlier years, Weighted Average 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 Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2024.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) was higher in six of the last eight quarters, with growth averaging 36.2%.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q2 2025 (growth of 83.4%); the worst was Q2 2024 (a decline of 8.4%).
- Per Business Quant data, EXE's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 238.36 million (Q2 2026), 240.76 million (Q1 2026) and 240.37 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 670.95 Bn | 635.82 Bn | 47.44 Bn | 4.42 Bn |
| 2 | Shell | 553.51 Bn | 414.86 Bn | - | 5.95 Bn |
| 3 | Chevron | 415.12 Bn | 387.81 Bn | 31.26 Bn | 1.96 Bn |
| 4 | TotalEnergies SE | 193.87 Bn | 69.22 Bn | 31.61 Bn | 2.57 Bn |
| 5 | Eni Spa | 173.39 Bn | 116.57 Bn | - | 3.09 Bn |
| 6 | Conocophillips | 160.35 Bn | 129.38 Bn | 12.63 Bn | 1.20 Bn |
| 7 | Equinor Asa | 101.69 Bn | 14.62 Bn | 4.49 Bn | 2.60 Bn |
| 8 | Canadian Natural Resources | 100.42 Bn | 94.32 Bn | 9.35 Bn | 2.10 Bn |
| 9 | Phillips 66 | 97.80 Bn | 82.75 Bn | 10.69 Bn | 398.95 Mn |
| 10 | Expand Energy | 20.31 Bn | 16.69 Bn | 629.00 Mn | 231.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 231.73 Mn |
| 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 |
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();