TechnipFMC (FTI) Return on Sales [ROS] (2016 - 2026)
TechnipFMC (FTI) reported Return on Sales [ROS] of -57.68% for Q2 2026, up 3.54 percentage points from -61.22% a year earlier and up 2.87 percentage points from the prior quarter.
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Analysis
TechnipFMC (FTI) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TechnipFMC's Return on Sales [ROS] came in at -61.26%, up 5.06 percentage points year-over-year; for FY2025, it was -62.99%, up 5.83 percentage points from FY2024.
- Return on Sales [ROS] has increased for five consecutive years, with a five-year change of +78.28 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -68.82% in FY2024 (+5.98 pp), -74.80% in FY2023 (+6.40 pp), -81.20% in FY2022 (+3.40 pp) and -84.60% in FY2021 (+56.67 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q4 2023.
- Year over year, Return on Sales [ROS] has now increased in each of the last six quarters, with an average year-over-year change of -7.96 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 109.91 percentage points); the low point was Q4 2024 (a drop of 100.62 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -60.55% (Q1 2026), -67.07% (Q4 2025) and -60.13% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 78.74 Bn | 74.67 Bn | 1.40 Bn | 11.94% |
| 2 | Baker Hughes | 55.26 Bn | 18.37 Bn | 1.58 Bn | 12.74% |
| 3 | Halliburton | 29.17 Bn | 20.89 Bn | 804.00 Mn | 13.62% |
| 4 | TechnipFMC | 27.71 Bn | 23.85 Bn | 684.70 Mn | -57.68% |
| 5 | Noble | 7.59 Bn | 5.52 Bn | 239.27 Mn | 4.23% |
| 6 | Transocean | 7.21 Bn | 4.92 Bn | 358.00 Mn | 15.73% |
| 7 | Nov | 7.12 Bn | 1.85 Bn | 521.00 Mn | 9.04% |
| 8 | Valaris | 6.77 Bn | 4.39 Bn | 123.70 Mn | 9.48% |
| 9 | Weatherford International | 6.19 Bn | 1.93 Bn | 374.00 Mn | 13.39% |
| 10 | Patterson Uti Energy | 4.54 Bn | 3.39 Bn | 280.64 Mn | -0.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -57.68% |
| Mar 31, 2026 | -60.55% |
| Dec 31, 2025 | -67.07% |
| Sep 30, 2025 | -60.13% |
| Jun 30, 2025 | -61.22% |
| Mar 31, 2025 | -65.63% |
| Dec 31, 2024 | -73.68% |
| Sep 30, 2024 | -65.06% |
| Jun 30, 2024 | -63.47% |
| Mar 31, 2024 | -73.62% |
| Dec 31, 2023 | 26.94% |
| Sep 30, 2023 | -71.57% |
| Jun 30, 2023 | -72.89% |
| Mar 31, 2023 | -81.85% |
| Dec 31, 2022 | -82.97% |
| Sep 30, 2022 | -78.29% |
| Jun 30, 2022 | -79.08% |
| Mar 31, 2022 | -84.84% |
| Dec 31, 2021 | -87.54% |
| Sep 30, 2021 | -82.11% |
API Access
TechnipFMC 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=FTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FTI", "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=FTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();