TechnipFMC (FTI) Return on Capital Employed [ROCE] (2017 - 2026)
TechnipFMC (FTI) posted Return on Capital Employed [ROCE] of -3.37% for Q3 2026, up 83.82 percentage points from -87.19% a year earlier and up 45.59 percentage points from the prior quarter.
TechnipFMC (FTI) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, TechnipFMC's Return on Capital Employed [ROCE] came in at -123.19%, down 144.71 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -93.05 percentage points (FY2020 to FY2025).
- In prior years, TechnipFMC's Return on Capital Employed [ROCE] was 21.52% in FY2024 (+136.69 pp), -115.16% in FY2023 (-17.27 pp), -97.89% in FY2022 (-48.66 pp) and -49.23% in FY2021 (-19.09 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2017.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last three quarters, with an average year-over-year change of +3.27 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2026, with a gain of 83.82 percentage points; the weakest was Q1 2022, with a drop of 60.28 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -48.95% (Q2 2026), -84.28% (Q1 2026) and -117.92% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 11.29% |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 14.16% |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 14.18% |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 33.29% |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 5.53% |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 5.33% |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 16.42% |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 5.95% |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 4.08% |
| 10 | Kodiak Gas Services | 4.28 Bn | 3.96 Bn | 259.04 Mn | 8.85% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.29% |
| Jun 30, 2026 | 31.93% |
| Mar 31, 2026 | 27.54% |
| Dec 31, 2025 | 24.85% |
| Sep 30, 2025 | 24.64% |
| Jun 30, 2025 | 23.16% |
| Mar 31, 2025 | 21.55% |
| Dec 31, 2024 | 20.36% |
| Sep 30, 2024 | 18.15% |
| Jun 30, 2024 | 15.79% |
| Mar 31, 2024 | -18.31% |
| Dec 31, 2023 | -21.86% |
| Sep 30, 2023 | -22.43% |
| Jun 30, 2023 | -23.31% |
| Mar 31, 2023 | -21.41% |
| Dec 31, 2022 | -22.86% |
| Sep 30, 2022 | -24.81% |
| Jun 30, 2022 | -23.39% |
| Mar 31, 2022 | -22.26% |
| Dec 31, 2021 | -14.84% |
TechnipFMC Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=FTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=FTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();