Enerflex (EFXT) Return on Sales [ROS] (2021 - 2026)
Enerflex's Return on Sales [ROS] came in at 9.97% for the quarter ended Jun 30, 2026, down 2.39 percentage points from 12.36% a year earlier.
Enerflex (EFXT) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Enerflex reported Return on Sales [ROS] of 11.14%, up 0.25 percentage points year-over-year; for the year ended Dec 31, 2025, it was 12.68%, up 5.51 percentage points from the prior year.
- Return on Sales [ROS] has increased in each of the last three years, with a four-year change of +7.03 percentage points (years ended Dec 2021 to Dec 2025).
- Going back by year, Return on Sales [ROS] was 7.17% in the year ended Dec 31, 2024 (+2.00 pp), 5.16% in the year ended Dec 31, 2023 (+5.04 pp), 0.13% in the year ended Dec 31, 2022 (-5.53 pp) and 5.65% in the year ended Dec 31, 2021.
- The five-year range for quarterly Return on Sales [ROS] is -6.96% (the quarter ended Dec 31, 2022) to 13.13% (the quarter ended Sep 30, 2025).
- Year-over-year, Return on Sales [ROS] increased in six of the last seven quarters, with an average year-over-year change of +3.69 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in the quarter ended Dec 31, 2023 (a gain of 11.82 percentage points), and the weakest in the quarter ended Dec 31, 2022 (a drop of 13.16 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 11.94% |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 12.74% |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | -57.68% |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 13.62% |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 9.04% |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 4.23% |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 15.73% |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 9.68% |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 9.48% |
| 10 | Enerflex | 2.77 Bn | 2.54 Bn | 139.00 Mn | 9.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.97% |
| Dec 31, 2025 | 9.57% |
| Sep 30, 2025 | 13.13% |
| Jun 30, 2025 | 12.36% |
| Mar 31, 2025 | 12.86% |
| Dec 31, 2024 | 8.91% |
| Sep 30, 2024 | 9.48% |
| Jun 30, 2024 | 9.45% |
| Mar 31, 2024 | 1.25% |
| Dec 31, 2023 | 4.86% |
| Sep 30, 2023 | 4.14% |
| Jun 30, 2023 | 6.04% |
| Mar 31, 2023 | 5.41% |
| Dec 31, 2022 | -6.96% |
| Sep 30, 2022 | 6.00% |
| Jun 30, 2022 | 5.44% |
| Mar 31, 2022 | 2.12% |
| Dec 31, 2021 | 6.20% |
| Sep 30, 2021 | 4.15% |
Enerflex Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=EFXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();