Goldgroup Mining (GORO) Research & Development (2010 - 2019)
Goldgroup Mining (GORO) reported Research & Development of $1.45 million for Q1 2019, up 22.4% from $1.19 million a year earlier and up 50.6% from the prior quarter.
Goldgroup Mining (GORO) Research & Development (2010 - 2019) Analysis & Trends
Over the twelve months ended Mar 31, 2019, Goldgroup Mining's Research & Development came in at $4.97 million, up 5.4% year-over-year; for FY2018, it came in at $4.7 million, up 8.1% from FY2017.
- Research & Development has a five-year compound annual growth rate of -13.1% (FY2013 to FY2018).
- By year, Research & Development came in at $4.35 million in FY2017 (+0.8%), $4.31 million in FY2016 (-39.7%), $7.15 million in FY2015 (+2.9%) and $6.95 million in FY2014 (-26.6%).
- The Q1 2019 figure ranks as the highest quarterly Research & Development since Q3 2017.
- Year over year, Research & Development gained in six of the last eight quarters, with growth averaging 19.1%.
- The high point for year-over-year Research & Development in five years was Q4 2016 (growth of 211.6%); the low point was Q2 2016 (a decline of 77.8%).
- Per Business Quant data, the three quarters before Q1 2019 came in at $963,000 (Q4 2018), $1.3 million (Q3 2018) and $1.25 million (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 14.90 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 47.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 53.00 Mn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 134.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | - |
| 10 | Goldgroup Mining | 542.32 Mn | 463.81 Mn | 19.05 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.45 Mn |
| Dec 31, 2018 | 963,000.00 |
| Sep 30, 2018 | 1.30 Mn |
| Jun 30, 2018 | 1.25 Mn |
| Mar 31, 2018 | 1.19 Mn |
| Dec 31, 2017 | 934,000.00 |
| Sep 30, 2017 | 1.46 Mn |
| Jun 30, 2017 | 1.14 Mn |
| Mar 31, 2017 | 822,000.00 |
| Dec 31, 2016 | 2.29 Mn |
| Sep 30, 2016 | 881,000.00 |
| Jun 30, 2016 | 642,000.00 |
| Mar 31, 2016 | 504,000.00 |
| Dec 31, 2015 | 734,000.00 |
| Sep 30, 2015 | 1.81 Mn |
| Jun 30, 2015 | 2.89 Mn |
| Mar 31, 2015 | 1.71 Mn |
| Dec 31, 2014 | 1.16 Mn |
| Sep 30, 2014 | 2.90 Mn |
| Jun 30, 2014 | 1.60 Mn |
Goldgroup Mining 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=GORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "GORO", "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=GORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();