Gold Fields (GFI) Research & Development (2012 - 2017)
Gold Fields' (GFI) quarterly Research & Development came in at -$109.8 million in Q4 2017, down 27.53% on a YoY basis from -$151.5 million in Q4 2016, and down 27.53% quarter-over-quarter from -$86.1 million in Q4 2016.
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Gold Fields (GFI) Research & Development (2012 - 2017) Analysis & Trends
Gold Fields (GFI) has reported Research & Development for 6 consecutive years, with -$109.8 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Research & Development fell 27.53% year-over-year to -$109.8 million; the trailing twelve-month figure through Dec 2017 stood at -$293.1 million (up 1.28% YoY), and the FY2025 full-year result was -$297.8 million, down 202.64% from the prior year.
- Research & Development eased to -$109.8 million in Q4 2017 per GFI's latest filing, from -$86.1 million in the prior quarter.
- Across five years, Research & Development topped out at -$45.4 million in Q4 2014 and bottomed at -$113.6 million in Q4 2013.
- Historically, Research & Development has averaged -$81.3 million across 5 years, with a median of -$86.1 million in 2016.
- The sharpest annual moves came in 2014 and 2016: Research & Development soared 60.04% in 2014, then slumped 66.22% in 2016.
- Over 5 years, Research & Development stood at -$113.6 million in 2013, then soared by 60.04% to -$45.4 million in 2014, then retreated by 14.1% to -$51.8 million in 2015, then plunged by 66.22% to -$86.1 million in 2016, then retreated by 27.53% to -$109.8 million in 2017.
- According to Business Quant data, Research & Development over the past three periods registered -$109.8 million, -$86.1 million, and -$51.8 million for Q4 2017, Q4 2016, and Q4 2015 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 460.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -4.05 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2.27 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 252.82 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Gold Fields | 38.03 Bn | 36.49 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -109.80 Mn |
| Dec 31, 2016 | -86.10 Mn |
| Dec 31, 2015 | -51.80 Mn |
| Dec 31, 2014 | -45.40 Mn |
| Dec 31, 2013 | -113.60 Mn |
| Dec 31, 2012 | -128.50 Mn |
API Access
Gold Fields 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=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "GFI", "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=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();