Nomad Power Solutions (NMAD) Accumulated Expenses (2018)
Nomad Power Solutions (NMAD) posted Accumulated Expenses of $50,000 for Q3 2018, unchanged from the prior quarter.
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Analysis
Nomad Power Solutions (NMAD) Accumulated Expenses (2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn |
| 10 | Nomad Power Solutions | 49.18 Mn | 27.63 Mn | - |
API Access
Nomad Power Solutions Accumulated Expenses 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=accumulated-expenses&ticker=NMAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NMAD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=NMAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();