New Fortress Energy (NFE) Shares Outstanding (2019 - 2026)
New Fortress Energy (NFE) posted Weighted Average Shares Outstanding of 5.71 million for Q2 2026, up 4.1% from 5.49 million a year earlier and unchanged from the prior quarter.
New Fortress Energy (NFE) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, New Fortress Energy's Weighted Average Shares Outstanding came in at 5.57 million, up 28.0% from FY2024.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In prior years, New Fortress Energy's Weighted Average Shares Outstanding was 4.35 million in FY2024 (+5.6%), 4.12 million in FY2023 (-1.7%), 4.19 million in FY2022 (+5.5%) and 3.97 million in FY2021 (+86.2%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 3.97 million in Q4 2021 to a high of 5.71 million in Q1 2026 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last seven quarters, with growth averaging 18.3% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q4 2021, with growth of 86.2%; the weakest was Q2 2023, with a decline of 2.2%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 5.71 million (Q1 2026), 5.57 million (Q4 2025) and 5.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 103.53 Bn | 99.13 Bn | 4.84 Bn | 2.18 Bn |
| 2 | Williams Companies | 82.50 Bn | 79.53 Bn | 2.59 Bn | 1.24 Bn |
| 3 | Enterprise Products Partners | 79.39 Bn | 77.75 Bn | - | 2.16 Bn |
| 4 | Kinder Morgan | 68.14 Bn | 66.99 Bn | 2.97 Bn | 2.23 Bn |
| 5 | Energy Transfer | 65.55 Bn | 61.38 Bn | 6.57 Bn | 3.44 Bn |
| 6 | Tc Energy | 65.45 Bn | 62.21 Bn | - | 1.04 Bn |
| 7 | Cheniere Energy | 59.68 Bn | 53.83 Bn | 2.97 Bn | 209.00 Mn |
| 8 | Targa Resources | 58.63 Bn | 58.09 Bn | 2.02 Bn | 214.50 Mn |
| 9 | Mplx | 57.55 Bn | 51.58 Bn | 3.19 Bn | 1.01 Bn |
| 10 | New Fortress Energy | 23.19 Mn | -602.08 Mn | 102.12 Mn | 5.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.71 Mn |
| Mar 31, 2026 | 5.71 Mn |
| Dec 31, 2025 | 5.57 Mn |
| Sep 30, 2025 | 5.62 Mn |
| Jun 30, 2025 | 5.49 Mn |
| Mar 31, 2025 | 5.47 Mn |
| Dec 31, 2024 | 4.35 Mn |
| Sep 30, 2024 | 4.10 Mn |
| Jun 30, 2024 | 4.10 Mn |
| Mar 31, 2024 | 4.10 Mn |
| Dec 31, 2023 | 4.12 Mn |
| Sep 30, 2023 | 4.10 Mn |
| Jun 30, 2023 | 4.10 Mn |
| Mar 31, 2023 | 4.17 Mn |
| Dec 31, 2022 | 4.19 Mn |
| Sep 30, 2022 | 4.19 Mn |
| Jun 30, 2022 | 4.19 Mn |
| Mar 31, 2022 | 4.20 Mn |
| Dec 31, 2021 | 3.97 Mn |
| Sep 30, 2021 | 4.15 Mn |
New Fortress Energy 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=shares-outstanding&ticker=NFE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "NFE", "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&ticker=NFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();