Gold Fields (GFI) Asset Writedowns and Impairment (2012 - 2017)
Gold Fields' (GFI) quarterly Asset Writedowns and Impairment came in at -$200.2 million in Q4 2017, down 161.7% on a YoY basis from $324.5 million in Q4 2016, and down 161.7% quarter-over-quarter from -$76.5 million in Q4 2016.
Gold Fields (GFI) Asset Writedowns and Impairment (2012 - 2017) Analysis & Trends
Gold Fields (GFI) has reported Asset Writedowns and Impairment for 6 consecutive years, with -$200.2 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Asset Writedowns and Impairment fell 161.7% year-over-year to -$200.2 million; the trailing twelve-month figure through Dec 2017 stood at -$510.3 million (up 50.86% YoY), and the FY2025 full-year result was $281.3 million, up 8137.14% from the prior year.
- Asset Writedowns and Impairment declined to -$200.2 million in Q4 2017 per GFI's latest filing, from -$76.5 million in the prior quarter.
- Across five years, Asset Writedowns and Impairment topped out at -$26.7 million in Q4 2014 and bottomed at -$728.3 million in Q4 2013.
- Historically, Asset Writedowns and Impairment has averaged -$247.7 million across 5 years, with a median of -$200.2 million in 2017.
- The sharpest annual moves came in 2014 and 2015: Asset Writedowns and Impairment jumped 96.33% in 2014, then plunged 674.91% in 2015.
- Over 5 years, Asset Writedowns and Impairment stood at -$728.3 million in 2013, then surged by 96.33% to -$26.7 million in 2014, then slumped by 674.91% to -$206.9 million in 2015, then soared by 63.03% to -$76.5 million in 2016, then sank by 161.7% to -$200.2 million in 2017.
- According to Business Quant data, Asset Writedowns and Impairment over the past three periods registered -$200.2 million, -$76.5 million, and -$206.9 million for Q4 2017, Q4 2016, and Q4 2015 respectively.
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
| Date | Value |
|---|---|
| Dec 31, 2017 | -200.20 Mn |
| Dec 31, 2016 | -76.50 Mn |
| Dec 31, 2015 | -206.90 Mn |
| Dec 31, 2014 | -26.70 Mn |
| Dec 31, 2013 | -728.30 Mn |
| Dec 31, 2012 | -98.20 Mn |
Gold Fields Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();