Gold Fields (GFI) Consolidated Net Income (2012 - 2016)
Gold Fields' (GFI) quarterly Consolidated Net Income came in at $1.1 billion in Q4 2016, up 346.91% on a YoY basis from $249.2 million in Q1 2016, and up 346.91% quarter-over-quarter from $249.2 million in Q4 2015.
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Analysis
Gold Fields (GFI) Consolidated Net Income (2012 - 2016) Analysis & Trends
Gold Fields (GFI) has reported Consolidated Net Income for 5 consecutive years, with $1.1 billion the latest figure, recorded in Q4 2016.
- For the quarter ending Q4 2016, Consolidated Net Income rose 346.91% year-over-year to $1.1 billion; the trailing twelve-month figure through Dec 2016 stood at $1.3 billion (down 19.29% YoY), and the FY2025 full-year result was $6.9 billion, up 158.64% from the prior year.
- Consolidated Net Income advanced to $1.1 billion in Q4 2016 per GFI's latest filing, from $249.2 million in the prior quarter.
- Across five years, Consolidated Net Income topped out at $1.4 billion in Q4 2012 and bottomed at -$257.3 million in Q4 2013.
- Historically, Consolidated Net Income has averaged $555.7 million across 5 years, with a median of $249.2 million in 2015.
- The sharpest annual moves came in 2013 and 2016: Consolidated Net Income tumbled 117.93% in 2013, then soared 346.91% in 2016.
- Over 5 years, Consolidated Net Income stood at $1.4 billion in 2012, then plunged by 117.93% to -$257.3 million in 2013, then soared by 192.46% to $237.9 million in 2014, then grew by 4.75% to $249.2 million in 2015, then jumped by 346.91% to $1.1 billion in 2016.
- According to Business Quant data, Consolidated Net Income over the past three periods registered $1.1 billion, $249.2 million, and $237.9 million for Q4 2016, Q4 2015, and Q4 2014 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (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 | 2.36 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 3.09 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 6.02 Bn |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | -1.07 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 | 537.92 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, 2016 | 1.11 Bn |
| Dec 31, 2015 | 249.20 Mn |
| Dec 31, 2014 | 237.90 Mn |
| Dec 31, 2013 | -257.30 Mn |
| Dec 31, 2012 | 1.43 Bn |
API Access
Gold Fields Consolidated Net Income 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=consolidated-net-income&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();