Noble (NE) Amortizatization of Intangibles (2021 - 2025)
Noble's Amortizatization of Intangibles was $1,000 in Q4 2025, compared with -$13.45 million a year earlier.
Analysis
Noble (NE) Amortizatization of Intangibles (2021 - 2025) Analysis & Trends
For FY2025, Amortizatization of Intangibles at Noble came in at -$8.37 million.
- In earlier years, Amortizatization of Intangibles was -$60.03 million in FY2024, -$106.78 million in FY2023, -$5.35 million in FY2022 and $51.54 million in FY2021.
- The Q4 2025 figure marks the highest quarterly Amortizatization of Intangibles since Q3 2022.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,000.00 |
| Jun 30, 2025 | -916,000.00 |
| Mar 31, 2025 | -7.45 Mn |
| Dec 31, 2024 | -13.45 Mn |
| Sep 30, 2024 | -3.73 Mn |
| Jun 30, 2024 | -22.50 Mn |
| Mar 31, 2024 | -20.35 Mn |
| Dec 31, 2023 | -11.24 Mn |
| Sep 30, 2023 | -10.80 Mn |
| Jun 30, 2023 | -31.01 Mn |
| Mar 31, 2023 | -53.73 Mn |
| Dec 31, 2022 | -41.88 Mn |
| Sep 30, 2022 | 8.17 Mn |
| Jun 30, 2022 | 14.26 Mn |
| Mar 31, 2022 | 14.10 Mn |
| Dec 31, 2021 | 14.41 Mn |
API Access
Noble 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=NE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "NE", "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=NE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();