TechnipFMC (FTI) Amortizatization of Intangibles (2016 - 2021)
TechnipFMC's Amortizatization of Intangibles came in at $23.4 million for Q4 2021, down 14.6% from $27.4 million a year earlier but up 0.9% from the prior quarter.
TechnipFMC (FTI) Amortizatization of Intangibles (2016 - 2021) Analysis & Trends
For FY2021, TechnipFMC's Amortizatization of Intangibles was $94.1 million, down 9.0% from FY2020.
- Amortizatization of Intangibles has declined in each of the last four years, though with a five-year compound annual growth rate of 40.0% (FY2016 to FY2021).
- Going back by year, Amortizatization of Intangibles was $103.4 million in FY2020 (-1.2%), $104.7 million in FY2019 (-42.7%), $182.6 million in FY2018 (-25.3%) and $244.5 million in FY2017.
- The five-year range for quarterly Amortizatization of Intangibles is $8.7 million (Q4 2019) to $68 million (Q1 2017).
- Year-over-year, Amortizatization of Intangibles has declined for four consecutive quarters, with growth averaging 14.8% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q4 2020 (growth of 214.9%), and the weakest in Q4 2019 (a decline of 81.3%).
- Business Quant data shows FTI's Amortizatization of Intangibles at $23.2 million (Q3 2021), $23.4 million (Q2 2021) and $24.1 million (Q1 2021) in the three quarters before Q4 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | - |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | - |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | - |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | - |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | - |
| 10 | Valaris | 5.43 Bn | 3.05 Bn | 123.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 23.40 Mn |
| Sep 30, 2021 | 23.20 Mn |
| Jun 30, 2021 | 23.40 Mn |
| Mar 31, 2021 | 24.10 Mn |
| Dec 31, 2020 | 27.40 Mn |
| Sep 30, 2020 | 24.90 Mn |
| Jun 30, 2020 | 25.60 Mn |
| Mar 31, 2020 | 25.50 Mn |
| Dec 31, 2019 | 8.70 Mn |
| Sep 30, 2019 | 35.30 Mn |
| Jun 30, 2019 | 30.20 Mn |
| Mar 31, 2019 | 30.50 Mn |
| Dec 31, 2018 | 46.40 Mn |
| Sep 30, 2018 | 45.30 Mn |
| Jun 30, 2018 | 45.50 Mn |
| Mar 31, 2018 | 45.40 Mn |
| Dec 31, 2017 | 59.60 Mn |
| Sep 30, 2017 | 57.50 Mn |
| Jun 30, 2017 | 59.40 Mn |
| Mar 31, 2017 | 68.00 Mn |
TechnipFMC Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=FTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=FTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();