TechnipFMC (FTI) Operating Margin (2016 - 2026)
TechnipFMC's Operating Margin was -57.68% in Q2 2026, up 3.54 percentage points from -61.22% a year earlier and up 2.87 percentage points from the prior quarter.
TechnipFMC (FTI) Operating Margin (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, TechnipFMC's Operating Margin was -61.26% through Jun 30, 2026, up 5.06 percentage points year-over-year; for FY2025, it was -62.99%, up 5.83 percentage points from FY2024.
- Operating Margin has now increased for five consecutive years, with a five-year change of +78.28 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -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 marks the highest quarterly Operating Margin since Q4 2023.
- Compared with a year earlier, Operating Margin has increased for six straight quarters, with an average year-over-year change of -7.96 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2023 (a gain of 109.91 percentage points); the worst was Q4 2024 (a drop of 100.62 percentage points).
- Per Business Quant data, FTI's Operating Margin in the three quarters before Q2 2026 was -60.55% (Q1 2026), -67.07% (Q4 2025) and -60.13% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 11.94% |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 12.74% |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | -57.68% |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 13.62% |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 9.04% |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 4.23% |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 9.68% |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 15.73% |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 9.48% |
| 10 | Kodiak Gas Services | 5.32 Bn | 5.09 Bn | 246.76 Mn | 31.76% |
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% |
TechnipFMC Operating Margin 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=operating-margin&ticker=FTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=FTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();