Forum Energy Technologies (FET) Return on Sales [ROS] (2011 - 2026)
Forum Energy Technologies' Return on Sales [ROS] came in at 9.07% for Q2 2026, up 1.72 percentage points from 7.35% a year earlier and up 3.79 percentage points from the prior quarter.
Forum Energy Technologies (FET) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Forum Energy Technologies reported Return on Sales [ROS] of 4.58%, up 13.86 percentage points year-over-year; for FY2025, it came in at 3.81%, up 14.44 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +49.01 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -10.63% in FY2024 (-13.43 pp), 2.80% in FY2023 (+0.33 pp), 2.48% in FY2022 (+10.70 pp) and -8.22% in FY2021 (+36.97 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q1 2015.
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +1.00 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 83.34 percentage points), and the weakest in Q4 2024 (a drop of 54.10 percentage points).
- Business Quant data shows FET's Return on Sales [ROS] at 5.27% (Q1 2026), 6.31% (Q4 2025) and -3.11% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 11.94% |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | 12.74% |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | -57.68% |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | 13.62% |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 9.04% |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | 4.23% |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | 15.73% |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 9.68% |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 31.76% |
| 10 | Forum Energy Technologies | 934.23 Mn | 796.67 Mn | 71.35 Mn | 9.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.07% |
| Mar 31, 2026 | 5.27% |
| Dec 31, 2025 | 6.31% |
| Sep 30, 2025 | -3.11% |
| Jun 30, 2025 | 7.35% |
| Mar 31, 2025 | 4.56% |
| Dec 31, 2024 | -53.14% |
| Sep 30, 2024 | 4.29% |
| Jun 30, 2024 | 3.87% |
| Mar 31, 2024 | 1.58% |
| Dec 31, 2023 | 0.96% |
| Sep 30, 2023 | 3.16% |
| Jun 30, 2023 | 3.45% |
| Mar 31, 2023 | 3.63% |
| Dec 31, 2022 | 4.90% |
| Sep 30, 2022 | 4.24% |
| Jun 30, 2022 | 3.47% |
| Mar 31, 2022 | -3.68% |
| Dec 31, 2021 | -8.85% |
| Sep 30, 2021 | -5.23% |
Forum Energy Technologies 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=FET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FET", "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=FET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();