Gold Fields (GFI) Profit After Tax (2012 - 2017)
Gold Fields' (GFI) quarterly Profit After Tax came in at -$20.8 million in Q4 2017, down 101.87% on a YoY basis from $1.1 billion in Q4 2016, and down 101.87% quarter-over-quarter from $1.1 billion in Q4 2016.
Gold Fields (GFI) Profit After Tax (2012 - 2017) Analysis & Trends
Gold Fields (GFI) has reported Profit After Tax for 6 consecutive years, with -$20.8 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Profit After Tax fell 101.87% year-over-year to -$20.8 million; the trailing twelve-month figure through Dec 2017 stood at $856.9 million (up 158.26% YoY), and the FY2025 full-year result was $3.6 billion, up 182.48% from the prior year.
- Profit After Tax declined to -$20.8 million in Q4 2017 per GFI's latest filing, from $1.1 billion in the prior quarter.
- Across five years, Profit After Tax topped out at $1.1 billion in Q4 2016 and bottomed at -$545.9 million in Q4 2013.
- Historically, Profit After Tax has averaged $62.2 million across 5 years, with a median of -$20.8 million in 2017.
- The sharpest annual moves came in 2015 and 2016: Profit After Tax slumped 2200.0% in 2015, then surged 549.44% in 2016.
- Over 5 years, Profit After Tax stood at -$545.9 million in 2013, then jumped by 102.16% to $11.8 million in 2014, then plunged by 2200.0% to -$247.8 million in 2015, then soared by 549.44% to $1.1 billion in 2016, then sank by 101.87% to -$20.8 million in 2017.
- According to Business Quant data, Profit After Tax over the past three periods registered -$20.8 million, $1.1 billion, and -$247.8 million for Q4 2017, Q4 2016, and Q4 2015 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | 3.31 Bn |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | 2.40 Bn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 2.51 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
| Date | Value |
|---|---|
| Dec 31, 2017 | -20.80 Mn |
| Dec 31, 2016 | 1.11 Bn |
| Dec 31, 2015 | -247.80 Mn |
| Dec 31, 2014 | 11.80 Mn |
| Dec 31, 2013 | -545.90 Mn |
| Dec 31, 2012 | 1.43 Bn |
Gold Fields Profit After Tax 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=profit-after-tax&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();