Gold Fields (GFI) Non Operating Interest Expenses (2012 - 2017)
Gold Fields' (GFI) quarterly Non Operating Interest Expenses came in at -$81.3 million in Q4 2017, down 4.1% on a YoY basis from -$84.8 million in Q4 2016, and down 4.1% quarter-over-quarter from -$78.1 million in Q4 2016.
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Gold Fields (GFI) Non Operating Interest Expenses (2012 - 2017) Analysis & Trends
Gold Fields (GFI) has reported Non Operating Interest Expenses for 6 consecutive years, with -$81.3 million the latest figure, recorded in Q4 2017.
- For the quarter ending Q4 2017, Non Operating Interest Expenses fell 4.1% year-over-year to -$81.3 million; the trailing twelve-month figure through Dec 2017 stood at -$340.5 million (down 3.65% YoY), and the FY2025 full-year result was -$120.7 million, down 139.48% from the prior year.
- Non Operating Interest Expenses retreated to -$81.3 million in Q4 2017 per GFI's latest filing, from -$78.1 million in the prior quarter.
- Across five years, Non Operating Interest Expenses topped out at -$69.3 million in Q4 2013 and bottomed at -$98.2 million in Q4 2014.
- Historically, Non Operating Interest Expenses has averaged -$82.0 million across 5 years, with a median of -$81.3 million in 2017.
- The sharpest annual moves came in 2014 and 2015: Non Operating Interest Expenses sank 41.7% in 2014, then rose 15.58% in 2015.
- Over 5 years, Non Operating Interest Expenses stood at -$69.3 million in 2013, then tumbled by 41.7% to -$98.2 million in 2014, then gained by 15.58% to -$82.9 million in 2015, then climbed by 5.79% to -$78.1 million in 2016, then decreased by 4.1% to -$81.3 million in 2017.
- According to Business Quant data, Non Operating Interest Expenses over the past three periods registered -$81.3 million, -$78.1 million, and -$82.9 million for Q4 2017, Q4 2016, and Q4 2015 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 215.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | -435.00 Mn |
| 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 | 24.66 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 | -81.30 Mn |
| Dec 31, 2016 | -78.10 Mn |
| Dec 31, 2015 | -82.90 Mn |
| Dec 31, 2014 | -98.20 Mn |
| Dec 31, 2013 | -69.30 Mn |
| Dec 31, 2012 | -55.30 Mn |
API Access
Gold Fields Non Operating Interest 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=non-operating-interest-expenses&ticker=GFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=GFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();