Research Frontiers (REFR) Selling, General & Administrative (2010 - 2018)
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Analysis
Research Frontiers (REFR) Selling, General & Administrative (2010 - 2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,150.22 Bn | 4,895.69 Bn | 54.82 Bn | 7.46 Bn |
| 2 | Cisco Systems | 390.67 Bn | 326.60 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Arista Networks | 234.99 Bn | 184.19 Bn | 2.33 Bn | 39.80 Mn |
| 4 | Dell Technologies | 223.66 Bn | 179.42 Bn | 9.83 Bn | 3.34 Bn |
| 5 | Sony | 161.53 Bn | 96.07 Bn | 7.96 Bn | 3.95 Bn |
| 6 | Sandisk | 129.94 Bn | 114.77 Bn | 9.38 Bn | 214.00 Mn |
| 7 | Seagate Technology Holdings | 115.51 Bn | 110.35 Bn | 2.43 Bn | 159.00 Mn |
| 8 | Western Digital | 105.83 Bn | 95.66 Bn | 2.53 Bn | 162.00 Mn |
| 9 | Hewlett Packard Enterprise | 63.65 Bn | 41.53 Bn | 4.93 Bn | 1.96 Bn |
| 10 | Research Frontiers | 14.34 Mn | 10.63 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 572,968.00 |
| Jun 30, 2018 | 645,960.00 |
| Mar 31, 2018 | 1.01 Mn |
| Sep 30, 2017 | 607,291.00 |
| Jun 30, 2017 | 636,781.00 |
| Mar 31, 2017 | 1.14 Mn |
| Sep 30, 2016 | 624,080.00 |
| Jun 30, 2016 | 865,590.00 |
| Mar 31, 2016 | 1.19 Mn |
| Jun 30, 2014 | 1.07 Mn |
| Mar 31, 2014 | 1.02 Mn |
| Dec 31, 2013 | 2.30 Mn |
| Sep 30, 2013 | 951,410.00 |
| Jun 30, 2013 | 918,192.00 |
| Mar 31, 2013 | 1.67 Mn |
| Dec 31, 2012 | 731,742.00 |
| Sep 30, 2012 | 972,300.00 |
| Jun 30, 2012 | 852,217.00 |
| Mar 31, 2012 | 1.44 Mn |
| Dec 31, 2011 | 877,593.00 |
API Access
Research Frontiers Selling, General & Administrative 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=selling-general-and-administrative&ticker=REFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=REFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();