Enerflex (EFXT) Price to Sales (2022 - 2026)
Enerflex's (EFXT) Price to Sales stood at 1.35 in the quarter ended Jun 30, 2026, up 129.6% from 0.59 a year earlier.
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Analysis
Enerflex (EFXT) Price to Sales (2022 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Enerflex's Price to Sales came in at 0.73, up 4.3% from the prior year.
- Across earlier years, Price to Sales came in at 0.70 in the year ended Dec 31, 2024 (+110.2%), 0.33 in the year ended Dec 31, 2023 (-25.7%), 0.45 in the year ended Dec 31, 2022 (-36.7%) and 0.71 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Price to Sales in data going back to the quarter ended Jun 30, 2022.
- Peak year-over-year performance for Price to Sales in the last five years was growth of 153.6% in the quarter ended Dec 31, 2024, against a decline of 27.7% in the quarter ended Dec 31, 2023 at the low end.
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 | 1.35 |
| Dec 31, 2025 | 0.93 |
| Sep 30, 2025 | 0.75 |
| Jun 30, 2025 | 0.59 |
| Mar 31, 2025 | 0.57 |
| Dec 31, 2024 | 0.70 |
| Sep 30, 2024 | 0.34 |
| Jun 30, 2024 | 0.31 |
| Mar 31, 2024 | 0.34 |
| Dec 31, 2023 | 0.28 |
| Sep 30, 2023 | 0.28 |
| Jun 30, 2023 | 0.35 |
| Mar 31, 2023 | 0.33 |
| Dec 31, 2022 | 0.38 |
| Sep 30, 2022 | 0.31 |
| Jun 30, 2022 | 0.36 |
API Access
Enerflex Price to Sales 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-sales&ticker=EFXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();