Nov (NOV) Asset Writedowns and Impairment (2009 - 2024)
Nov's Asset Writedowns and Impairment came in at $70 million for FY2025.
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Analysis
Nov (NOV) Asset Writedowns and Impairment (2009 - 2024) Analysis & Trends
Going back to FY2009, Nov's Asset Writedowns and Impairment data covers 9 years.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of -32.9% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Asset Writedowns and Impairment since FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 78.73 Bn | 75.84 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.45 Bn | 18.73 Bn | 1.58 Bn |
| 3 | Halliburton | 28.88 Bn | 20.83 Bn | 840.00 Mn |
| 4 | TechnipFMC | 27.45 Bn | 23.60 Bn | 684.70 Mn |
| 5 | Noble | 7.62 Bn | 5.55 Bn | 239.27 Mn |
| 6 | Transocean | 7.16 Bn | 4.87 Bn | 358.00 Mn |
| 7 | Nov | 7.06 Bn | 1.85 Bn | 521.00 Mn |
| 8 | Valaris | 6.74 Bn | 4.36 Bn | 123.70 Mn |
| 9 | Weatherford International | 6.30 Bn | 2.07 Bn | 374.00 Mn |
| 10 | Patterson Uti Energy | 4.57 Bn | 3.42 Bn | 280.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 15.00 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | -9.00 Mn |
| Sep 30, 2022 | -14.00 Mn |
| Jun 30, 2022 | -19.00 Mn |
| Mar 31, 2022 | 24.00 Mn |
| Dec 31, 2021 | 48.00 Mn |
| Sep 30, 2021 | 3.00 Mn |
| Jun 30, 2021 | -2.00 Mn |
| Mar 31, 2021 | 24.00 Mn |
| Mar 31, 2020 | 513.00 Mn |
| Dec 31, 2019 | 10.00 Mn |
| Sep 30, 2019 | 12.00 Mn |
| Jun 30, 2019 | 2.19 Bn |
| Mar 31, 2019 | 14.00 Mn |
| Dec 31, 2018 | 8.00 Mn |
API Access
Nov Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=NOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "NOV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=NOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();