Freeport-Mcmoran (FCX) Non Operating Interest Expenses (2009 - 2016)
Freeport-Mcmoran's Non Operating Interest Expenses came in at $187 million for Q3 2016, up 19.1% from $157 million a year earlier but down 4.6% from the prior quarter.
Freeport-Mcmoran (FCX) Non Operating Interest Expenses (2009 - 2016) Analysis & Trends
Over the trailing twelve months to Sep 30, 2016, Freeport-Mcmoran reported Non Operating Interest Expenses of $790 million, up 33.4% year-over-year; for FY2015, it was $645 million, up 2.4% from FY2014.
- Non Operating Interest Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 6.9% (FY2010 to FY2015).
- Going back by year, Non Operating Interest Expenses was $630 million in FY2014 (+21.6%), $518 million in FY2013 (+178.5%), $186 million in FY2012 (-40.4%) and $312 million in FY2011 (-32.5%).
- The five-year range for quarterly Non Operating Interest Expenses is $38 million (Q4 2012) to $207 million (Q4 2015).
- Year-over-year, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 12.4% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2013 (growth of 339.5%), and the weakest in Q3 2012 (a decline of 46.2%).
- Business Quant data shows FCX's Non Operating Interest Expenses at $196 million (Q2 2016), $200 million (Q1 2016) and $207 million (Q4 2015) in the three quarters before Q3 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 169.07 Bn | 147.85 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 142.72 Bn | 103.22 Bn | - | - |
| 4 | Newmont | 124.86 Bn | 92.86 Bn | 4.03 Bn | - |
| 5 | Freeport-Mcmoran | 99.12 Bn | 83.16 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 93.88 Bn | 83.51 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 69.21 Bn | 44.41 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 59.25 Bn | 48.64 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 48.14 Bn | 27.16 Bn | - | - |
| 10 | AngloGold Ashanti | 46.43 Bn | 34.32 Bn | 1.70 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 187.00 Mn |
| Jun 30, 2016 | 196.00 Mn |
| Mar 31, 2016 | 200.00 Mn |
| Dec 31, 2015 | 207.00 Mn |
| Sep 30, 2015 | 157.00 Mn |
| Jun 30, 2015 | 142.00 Mn |
| Mar 31, 2015 | 146.00 Mn |
| Dec 31, 2014 | 147.00 Mn |
| Sep 30, 2014 | 158.00 Mn |
| Jun 30, 2014 | 164.00 Mn |
| Mar 31, 2014 | 161.00 Mn |
| Dec 31, 2013 | 167.00 Mn |
| Sep 30, 2013 | 162.00 Mn |
| Jun 30, 2013 | 132.00 Mn |
| Mar 31, 2013 | 57.00 Mn |
| Dec 31, 2012 | 38.00 Mn |
| Sep 30, 2012 | 42.00 Mn |
| Jun 30, 2012 | 43.00 Mn |
| Mar 31, 2012 | 63.00 Mn |
| Dec 31, 2011 | 62.00 Mn |
Freeport-Mcmoran 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=FCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FCX", "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=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();