Research Frontiers (REFR) Gains from Sales and Divestitures (2016)
Powered by 
Analysis
Research Frontiers (REFR) Gains from Sales and Divestitures (2016) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,150.22 Bn | 4,895.69 Bn | 54.82 Bn |
| 2 | Cisco Systems | 390.67 Bn | 326.60 Bn | 11.06 Bn |
| 3 | Arista Networks | 234.99 Bn | 184.19 Bn | 2.33 Bn |
| 4 | Dell Technologies | 223.66 Bn | 179.42 Bn | 9.83 Bn |
| 5 | Sony | 161.53 Bn | 96.07 Bn | 7.96 Bn |
| 6 | Sandisk | 129.94 Bn | 114.77 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 115.51 Bn | 110.35 Bn | 2.43 Bn |
| 8 | Western Digital | 105.83 Bn | 95.66 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.65 Bn | 41.53 Bn | 4.93 Bn |
| 10 | Research Frontiers | 14.34 Mn | 10.63 Mn | - |
API Access
Research Frontiers Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=REFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "REFR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=REFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();