Enerflex (EFXT) Price to Earnings (2022 - 2026)
Enerflex's Price to Earnings came in at 13.43 for the quarter ended Jun 30, 2026, up 276.0% from 3.57 a year earlier.
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Analysis
Enerflex (EFXT) Price to Earnings (2022 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Enerflex's Price to Earnings was 29.37, down 23.9% from the prior year.
- Going back by year, Price to Earnings was 38.60 in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Price to Earnings since the quarter ended Mar 31, 2024.
- Year-over-year, Price to Earnings increased in three of the last seven quarters, with growth averaging 12.0%.
- The fastest year-over-year change in Price to Earnings over five years came in the quarter ended Jun 30, 2026 (growth of 276.0%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 88.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn |
| 10 | Enerflex | 2.77 Bn | 2.54 Bn | 139.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.43 |
| Dec 31, 2025 | 9.33 |
| Sep 30, 2025 | 4.89 |
| Jun 30, 2025 | 3.57 |
| Mar 31, 2025 | 3.79 |
| Dec 31, 2024 | 5.76 |
| Sep 30, 2024 | 3.70 |
| Jun 30, 2024 | 5.78 |
| Mar 31, 2024 | 18.48 |
| Dec 31, 2023 | 49.81 |
| Sep 30, 2023 | 18.84 |
| Mar 31, 2023 | 13.44 |
| Dec 31, 2022 | 17.39 |
| Jun 30, 2022 | 10.06 |
API Access
Enerflex Price to Earnings 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=price-to-earnings&ticker=EFXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();