Gold Fields (GFI) Restructuring Costs (2012 - 2017)
Gold Fields' (GFI) quarterly Restructuring Costs came in at -$9.2 million in Q4 2017, up 21.37% on a YoY basis from -$7.6 million in Q4 2016, and up 21.37% quarter-over-quarter from -$11.7 million in Q4 2016.
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Analysis
Gold Fields (GFI) Restructuring Costs (2012 - 2017) Analysis & Trends
Gold Fields (GFI) has reported Restructuring Costs for 6 consecutive years, with -$9.2 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Restructuring Costs rose 21.37% year-over-year to -$9.2 million; the trailing twelve-month figure through Dec 2017 stood at -$71.2 million (up 29.29% YoY), and the FY2025 full-year result was -$10.3 million, down 56.06% from the prior year.
- Restructuring Costs advanced to -$9.2 million in Q4 2017 per GFI's latest filing, from -$11.7 million in the prior quarter.
- Across five years, Restructuring Costs topped out at -$9.2 million in Q4 2017 and bottomed at -$41.0 million in Q4 2014.
- Historically, Restructuring Costs has averaged -$22.0 million across 5 years, with a median of -$11.7 million in 2016.
- The sharpest annual moves came in 2015 and 2016: Restructuring Costs soared 77.32% in 2015, then declined 25.81% in 2016.
- Over 5 years, Restructuring Costs stood at -$38.7 million in 2013, then dropped by 5.94% to -$41.0 million in 2014, then jumped by 77.32% to -$9.3 million in 2015, then slipped by 25.81% to -$11.7 million in 2016, then grew by 21.37% to -$9.2 million in 2017.
- According to Business Quant data, Restructuring Costs over the past three periods registered -$9.2 million, -$11.7 million, and -$9.3 million for Q4 2017, Q4 2016, and Q4 2015 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 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 |
| 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 | -9.20 Mn |
| Dec 31, 2016 | -11.70 Mn |
| Dec 31, 2015 | -9.30 Mn |
| Dec 31, 2014 | -41.00 Mn |
| Dec 31, 2013 | -38.70 Mn |
| Dec 31, 2012 | -50.80 Mn |
API Access
Gold Fields Restructuring Costs 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=restructuring-costs&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();