Nov (NOV) Goodwill impairment charges (2016)
Nov's Goodwill impairment charges came in at $972 million for Q3 2016.
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Analysis
Nov (NOV) Goodwill impairment charges (2016) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 74.02 Bn | 69.95 Bn | 1.40 Bn |
| 2 | Baker Hughes | 53.20 Bn | 16.30 Bn | 1.58 Bn |
| 3 | Halliburton | 27.79 Bn | 19.51 Bn | 804.00 Mn |
| 4 | TechnipFMC | 26.38 Bn | 22.52 Bn | 684.70 Mn |
| 5 | Noble | 7.04 Bn | 4.97 Bn | 239.27 Mn |
| 6 | Transocean | 6.81 Bn | 4.52 Bn | 358.00 Mn |
| 7 | Nov | 6.75 Bn | 1.48 Bn | 521.00 Mn |
| 8 | Valaris | 6.40 Bn | 4.01 Bn | 123.70 Mn |
| 9 | Weatherford International | 5.88 Bn | 1.62 Bn | 374.00 Mn |
| 10 | Patterson Uti Energy | 4.31 Bn | 3.16 Bn | 280.64 Mn |
API Access
Nov Goodwill impairment charges 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=goodwill-impairment-charges&ticker=NOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-impairment-charges", "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=goodwill-impairment-charges&ticker=NOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();