Gold Fields (GFI) Accumulated Expenses (2009 - 2015)
Gold Fields' (GFI) quarterly Accumulated Expenses came in at $11.4 million in Q4 2015, up 1.79% on a YoY basis from $11.2 million in Q4 2014, and up 1.79% quarter-over-quarter from $11.2 million in Q4 2014.
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Analysis
Gold Fields (GFI) Accumulated Expenses (2009 - 2015) Analysis & Trends
Gold Fields (GFI) has reported Accumulated Expenses for 7 consecutive years, with $11.4 million the latest figure, recorded in Q4 2015.
- For the quarter ending Q4 2015, Accumulated Expenses rose 1.79% year-over-year to $11.4 million; the trailing twelve-month figure through Dec 2015 stood at $11.4 million (up 1.79% YoY), and the FY2015 full-year result was $11.4 million, up 1.79% from the prior year.
- Accumulated Expenses climbed to $11.4 million in Q4 2015 per GFI's latest filing, from $11.2 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $12.4 million in Q4 2013 and bottomed at $11.0 million in Q4 2012.
- Historically, Accumulated Expenses has averaged $11.4 million across 5 years, with a median of $11.2 million in 2011.
- The sharpest annual moves came in 2011 and 2014: Accumulated Expenses jumped 176.6% in 2011, then dropped 9.68% in 2014.
- Over 5 years, Accumulated Expenses stood at $11.2 million in 2011, then fell by 1.79% to $11.0 million in 2012, then climbed by 12.73% to $12.4 million in 2013, then slipped by 9.68% to $11.2 million in 2014, then rose by 1.79% to $11.4 million in 2015.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $11.4 million, $11.2 million, and $12.4 million for Q4 2015, Q4 2014, and Q4 2013 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, 2015 | 11.40 Mn |
| Dec 31, 2014 | 11.20 Mn |
| Dec 31, 2013 | 12.40 Mn |
| Dec 31, 2012 | 11.00 Mn |
| Dec 31, 2011 | 11.20 Mn |
| Dec 31, 2010 | 4.05 Mn |
| Jun 30, 2010 | 3.98 Mn |
| Jun 30, 2009 | 214.60 Mn |
API Access
Gold Fields Accumulated Expenses 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=accumulated-expenses&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();