Vista Gold (VGZ) Research & Development (2010 - 2017)
Vista Gold's Research & Development was $2.24 million in Q4 2017, up 68.9% from $1.32 million a year earlier and up 36.8% from the prior quarter.
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Analysis
Vista Gold (VGZ) Research & Development (2010 - 2017) Analysis & Trends
For FY2017, Research & Development at Vista Gold came in at $6.93 million, up 61.1% from FY2016.
- Research & Development has now increased for three consecutive years, though with a five-year compound annual growth rate of -24.1% (FY2012 to FY2017).
- In earlier years, Research & Development was $4.3 million in FY2016 (+0.9%), $4.27 million in FY2015 (+6.9%), $3.99 million in FY2014 (-74.4%) and $15.6 million in FY2013 (-43.3%).
- The Q4 2017 figure marks the highest quarterly Research & Development since Q2 2013.
- Compared with a year earlier, Research & Development has increased for five straight quarters, with growth averaging 31.5% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2014 (growth of 114.5%); the worst was Q4 2013 (a decline of 95.7%).
- Per Business Quant data, VGZ's Research & Development in the three quarters before Q4 2017 was $1.64 million (Q3 2017), $1.31 million (Q2 2017) and $1.75 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 14.90 Mn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 47.00 Mn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 53.00 Mn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 61.53 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 134.00 Mn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | - |
| 10 | Vista Gold | 405.07 Mn | 275.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 2.24 Mn |
| Sep 30, 2017 | 1.64 Mn |
| Jun 30, 2017 | 1.31 Mn |
| Mar 31, 2017 | 1.75 Mn |
| Dec 31, 2016 | 1.32 Mn |
| Sep 30, 2016 | 1.17 Mn |
| Jun 30, 2016 | 824,000.00 |
| Mar 31, 2016 | 987,000.00 |
| Dec 31, 2015 | 1.00 Mn |
| Sep 30, 2015 | 1.31 Mn |
| Jun 30, 2015 | 984,000.00 |
| Mar 31, 2015 | 975,000.00 |
| Dec 31, 2014 | 815,000.00 |
| Sep 30, 2014 | 755,000.00 |
| Jun 30, 2014 | 1.00 Mn |
| Mar 31, 2014 | 1.42 Mn |
| Dec 31, 2013 | 380,000.00 |
| Sep 30, 2013 | 2.21 Mn |
| Jun 30, 2013 | 5.88 Mn |
| Mar 31, 2013 | 7.13 Mn |
API Access
Vista Gold Research & Development 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=research-and-development&ticker=VGZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "VGZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=VGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();