Enerflex (EFXT) Shares Outstanding (Diluted) (2021 - 2026)
Enerflex (EFXT) posted Shares Outstanding (Diluted) of 123.06 million for the quarter ended Jun 30, 2026, down 0.9% from 124.16 million a year earlier.
Enerflex (EFXT) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
Since the quarter ended Dec 31, 2021, Enerflex has reported Shares Outstanding (Diluted) for 18 quarters.
- Annual Shares Outstanding (Diluted) shows a four-year compound annual growth rate of 8.2% (years ended Dec 2021 to Dec 2025).
- In prior years, Enerflex's Shares Outstanding (Diluted) was 124.16 million in the year ended Dec 31, 2024 (+0.3%), 123.83 million in the year ended Dec 31, 2023 (+27.6%), 97.05 million in the year ended Dec 31, 2022 (+8.2%) and 89.68 million in the year ended Dec 31, 2021.
- Quarterly Shares Outstanding (Diluted) has run from a low of 89.68 million in the quarter ended Dec 31, 2021 to a high of 124.16 million in the quarter ended Sep 30, 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in five of the last seven quarters, with growth averaging 3.8%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was the quarter ended Sep 30, 2024, with growth of 27.6%; the weakest was the quarter ended Dec 31, 2025, with a decline of 0.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 1.51 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 997.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 404.50 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 838.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 362.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 159.57 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 1.20 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 72.20 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 70.40 Mn |
| 10 | Enerflex | 2.77 Bn | 2.54 Bn | 139.00 Mn | 123.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.06 Mn |
| Dec 31, 2025 | 123.06 Mn |
| Sep 30, 2025 | 124.16 Mn |
| Jun 30, 2025 | 124.16 Mn |
| Mar 31, 2025 | 124.16 Mn |
| Dec 31, 2024 | 124.16 Mn |
| Sep 30, 2024 | 123.83 Mn |
| Jun 30, 2024 | 123.83 Mn |
| Mar 31, 2024 | 123.83 Mn |
| Dec 31, 2023 | 123.83 Mn |
| Sep 30, 2023 | 97.05 Mn |
| Jun 30, 2023 | 97.05 Mn |
| Mar 31, 2023 | 97.05 Mn |
| Dec 31, 2022 | 97.05 Mn |
| Sep 30, 2022 | 89.68 Mn |
| Jun 30, 2022 | 89.68 Mn |
| Mar 31, 2022 | 89.68 Mn |
| Dec 31, 2021 | 89.68 Mn |
Enerflex 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=EFXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EFXT", "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=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();