TechnipFMC (FTI) Total Non-Current Liabilities (2016 - 2026)
TechnipFMC (FTI) posted Total Non-Current Liabilities of $6.25 billion for Q3 2026, up 4.0% from $6.01 billion a year earlier but down 0.5% from the prior quarter.
TechnipFMC (FTI) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, TechnipFMC's Total Non-Current Liabilities came in at $5.81 billion, down 3.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -17.6% (FY2020 to FY2025).
- In prior years, TechnipFMC's Total Non-Current Liabilities was $6.01 billion in FY2024 (-3.2%), $6.21 billion in FY2023 (+6.8%), $5.82 billion in FY2022 (-8.2%) and $6.34 billion in FY2021 (-58.6%).
- Quarterly Total Non-Current Liabilities has run from a low of $5.32 billion in Q3 2022 to a high of $6.41 billion in Q1 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2023, with growth of 15.1%; the weakest was Q4 2021, with a decline of 58.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.28 billion (Q2 2026), $5.86 billion (Q1 2026) and $5.81 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.81 Bn | 70.26 Bn | 1.57 Bn | 27.03 Bn |
| 2 | Baker Hughes | 47.88 Bn | 9.61 Bn | 1.96 Bn | 36.63 Bn |
| 3 | Halliburton | 26.33 Bn | 18.23 Bn | 840.00 Mn | 13.84 Bn |
| 4 | TechnipFMC | 25.25 Bn | 21.22 Bn | 728.70 Mn | 6.25 Bn |
| 5 | Noble | 6.55 Bn | 4.63 Bn | 228.22 Mn | 2.61 Bn |
| 6 | Nov | 6.31 Bn | 1.20 Bn | 439.00 Mn | 4.62 Bn |
| 7 | Weatherford International | 6.04 Bn | 1.78 Bn | 374.00 Mn | 2.99 Bn |
| 8 | Transocean | 5.85 Bn | 3.89 Bn | 348.00 Mn | 5.31 Bn |
| 9 | Valaris | 5.52 Bn | 3.27 Bn | 176.30 Mn | 1.87 Bn |
| 10 | Kodiak Gas Services | 4.21 Bn | 3.97 Bn | 246.76 Mn | 3.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.25 Bn |
| Jun 30, 2026 | 6.28 Bn |
| Mar 31, 2026 | 5.86 Bn |
| Dec 31, 2025 | 5.81 Bn |
| Sep 30, 2025 | 6.01 Bn |
| Jun 30, 2025 | 6.33 Bn |
| Mar 31, 2025 | 6.41 Bn |
| Dec 31, 2024 | 6.01 Bn |
| Sep 30, 2024 | 5.98 Bn |
| Jun 30, 2024 | 5.71 Bn |
| Mar 31, 2024 | 5.77 Bn |
| Dec 31, 2023 | 6.21 Bn |
| Sep 30, 2023 | 6.13 Bn |
| Jun 30, 2023 | 6.25 Bn |
| Mar 31, 2023 | 5.96 Bn |
| Dec 31, 2022 | 5.82 Bn |
| Sep 30, 2022 | 5.32 Bn |
| Jun 30, 2022 | 5.49 Bn |
| Mar 31, 2022 | 6.05 Bn |
| Dec 31, 2021 | 6.34 Bn |
TechnipFMC Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();