TechnipFMC (FTI) Operating Expenses (2016 - 2026)
TechnipFMC's Operating Expenses came in at $2.28 billion for Q2 2026, up 6.2% from $2.15 billion a year earlier and up 6.4% from the prior quarter.
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Analysis
TechnipFMC (FTI) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TechnipFMC reported Operating Expenses of $8.91 billion, up 6.8% year-over-year; for FY2025, it was $8.61 billion, up 6.0% from FY2024.
- Operating Expenses has increased in each of the last four years, though with a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $8.13 billion in FY2024 (+11.1%), $7.32 billion in FY2023 (+12.5%), $6.5 billion in FY2022 (+2.1%) and $6.37 billion in FY2021 (-36.5%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2020.
- Year-over-year, Operating Expenses has increased for 17 consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 16.4%), and the weakest in Q3 2021 (a decline of 13.0%).
- Business Quant data shows FTI's Operating Expenses at $2.14 billion (Q1 2026), $2.25 billion (Q4 2025) and $2.24 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 998.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Kodiak Gas Services | 5.35 Bn | 5.11 Bn | 246.76 Mn | 266.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.28 Bn |
| Mar 31, 2026 | 2.14 Bn |
| Dec 31, 2025 | 2.25 Bn |
| Sep 30, 2025 | 2.24 Bn |
| Jun 30, 2025 | 2.15 Bn |
| Mar 31, 2025 | 1.97 Bn |
| Dec 31, 2024 | 2.17 Bn |
| Sep 30, 2024 | 2.06 Bn |
| Jun 30, 2024 | 2.02 Bn |
| Mar 31, 2024 | 1.88 Bn |
| Dec 31, 2023 | 1.94 Bn |
| Sep 30, 2023 | 1.90 Bn |
| Jun 30, 2023 | 1.81 Bn |
| Mar 31, 2023 | 1.67 Bn |
| Dec 31, 2022 | 1.67 Bn |
| Sep 30, 2022 | 1.65 Bn |
| Jun 30, 2022 | 1.64 Bn |
| Mar 31, 2022 | 1.55 Bn |
| Dec 31, 2021 | 1.56 Bn |
| Sep 30, 2021 | 1.54 Bn |
API Access
TechnipFMC Operating Expenses 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-expenses&ticker=FTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=FTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();