TechnipFMC (FTI) Return on Capital Employed [ROCE] (2017 - 2026)
TechnipFMC (FTI) posted Return on Capital Employed [ROCE] of -133.92% for Q2 2026, down 6.50 percentage points from -127.43% a year earlier and down 11.91 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%, up 4.44 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -40.75 percentage points (FY2020 to FY2025).
- In prior years, TechnipFMC's Return on Capital Employed [ROCE] was -127.63% in FY2024 (-12.47 pp), -115.16% in FY2023 (-17.27 pp), -97.89% in FY2022 (-48.66 pp) and -49.23% in FY2021 (+33.21 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2017.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in three of the last eight quarters, with an average year-over-year change of -19.92 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2023, with a gain of 33.83 percentage points; the weakest was Q1 2025, with a drop of 57.68 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -122.01% (Q1 2026), -119.50% (Q4 2025) and -124.98% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.22 Bn | 69.33 Bn | 1.40 Bn | 11.42% |
| 2 | Baker Hughes | 55.21 Bn | 18.49 Bn | 1.58 Bn | 9.65% |
| 3 | TechnipFMC | 27.04 Bn | 23.19 Bn | 684.70 Mn | -133.92% |
| 4 | Halliburton | 26.59 Bn | 18.34 Bn | 804.00 Mn | 13.06% |
| 5 | Nov | 6.76 Bn | 1.55 Bn | 521.00 Mn | 5.00% |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 5.17% |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | -7.15% |
| 8 | Weatherford International | 5.63 Bn | 1.57 Bn | 333.00 Mn | 16.47% |
| 9 | Valaris | 5.51 Bn | 3.13 Bn | 123.70 Mn | 5.20% |
| 10 | Kodiak Gas Services | 5.41 Bn | 5.17 Bn | 246.76 Mn | 8.25% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -133.92% |
| Mar 31, 2026 | -122.01% |
| Dec 31, 2025 | -119.50% |
| Sep 30, 2025 | -124.98% |
| Jun 30, 2025 | -127.43% |
| Mar 31, 2025 | -131.16% |
| Dec 31, 2024 | -126.80% |
| Sep 30, 2024 | -80.23% |
| Jun 30, 2024 | -82.58% |
| Mar 31, 2024 | -73.48% |
| Dec 31, 2023 | -73.33% |
| Sep 30, 2023 | -111.69% |
| Jun 30, 2023 | -108.49% |
| Mar 31, 2023 | -105.20% |
| Dec 31, 2022 | -107.16% |
| Sep 30, 2022 | -98.79% |
| Jun 30, 2022 | -88.43% |
| Mar 31, 2022 | -83.51% |
| Dec 31, 2021 | -86.19% |
| Sep 30, 2021 | -55.81% |
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();