Gold Fields (GFI) Tax Provisions (2013 - 2017)
Gold Fields' (GFI) quarterly Tax Provisions came in at -$173.2 million in Q4 2017, up 8.6% on a YoY basis from -$159.5 million in Q4 2016, and up 8.6% quarter-over-quarter from -$189.5 million in Q4 2016.
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Analysis
Gold Fields (GFI) Tax Provisions (2013 - 2017) Analysis & Trends
Gold Fields (GFI) has reported Tax Provisions for 5 consecutive years, with -$173.2 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Tax Provisions rose 8.6% year-over-year to -$173.2 million; the trailing twelve-month figure through Dec 2017 stood at -$725.3 million (down 31.13% YoY), and the FY2025 full-year result was -$1.6 billion, down 136.58% from the prior year.
- Tax Provisions advanced to -$173.2 million in Q4 2017 per GFI's latest filing, from -$189.5 million in the prior quarter.
- Across five years, Tax Provisions topped out at -$1.0 million in Q4 2013 and bottomed at -$248.5 million in Q4 2015.
- Historically, Tax Provisions has averaged -$145.3 million across 5 years, with a median of -$173.2 million in 2017.
- The sharpest annual moves came in 2014 and 2016: Tax Provisions tumbled 11310.0% in 2014, then grew 23.74% in 2016.
- Over 5 years, Tax Provisions stood at -$1.0 million in 2013, then sank by 11310.0% to -$114.1 million in 2014, then plunged by 117.79% to -$248.5 million in 2015, then advanced by 23.74% to -$189.5 million in 2016, then climbed by 8.6% to -$173.2 million in 2017.
- According to Business Quant data, Tax Provisions over the past three periods registered -$173.2 million, -$189.5 million, and -$248.5 million for Q4 2017, Q4 2016, and Q4 2015 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (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 | 407.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -291.00 Mn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | 2.01 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 | 160.68 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 | -173.20 Mn |
| Dec 31, 2016 | -189.50 Mn |
| Dec 31, 2015 | -248.50 Mn |
| Dec 31, 2014 | -114.10 Mn |
| Dec 31, 2013 | -1.00 Mn |
API Access
Gold Fields Tax Provisions 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=tax-provisions&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();