SunCoke Energy (SXC) Non Operating Interest Expenses (2011 - 2018)
SunCoke Energy's Non Operating Interest Expenses came in at $15.8 million for Q1 2018, up 12.9% from $14 million a year earlier and up 1.3% from the prior quarter.
SunCoke Energy (SXC) Non Operating Interest Expenses (2011 - 2018) Analysis & Trends
Over the trailing twelve months to Mar 31, 2018, SunCoke Energy reported Non Operating Interest Expenses of $62.7 million, up 17.2% year-over-year; for FY2017, it was $60.6 million, up 13.3% from FY2016.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 4.9% (FY2012 to FY2017).
- Going back by year, Non Operating Interest Expenses was $53.5 million in FY2016 (-4.8%), $56.2 million in FY2015 (+17.6%), $47.8 million in FY2014 (-8.6%) and $52.3 million in FY2013 (+9.9%).
- The five-year range for quarterly Non Operating Interest Expenses is -$3.3 million (Q4 2014) to $27.1 million (Q2 2014).
- Year-over-year, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2014 (growth of 124.0%), and the weakest in Q2 2015 (a decline of 52.0%).
- Business Quant data shows SXC's Non Operating Interest Expenses at $15.6 million (Q4 2017), $16.1 million (Q3 2017) and $15.2 million (Q2 2017) in the three quarters before Q1 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | - |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -50.43 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 16.04 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 36.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | -136.00 Mn |
| 10 | SunCoke Energy | 800.37 Mn | 512.07 Mn | 100.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 15.80 Mn |
| Dec 31, 2017 | 15.60 Mn |
| Sep 30, 2017 | 16.10 Mn |
| Jun 30, 2017 | 15.20 Mn |
| Mar 31, 2017 | 14.00 Mn |
| Dec 31, 2016 | 13.20 Mn |
| Sep 30, 2016 | 12.90 Mn |
| Jun 30, 2016 | 13.40 Mn |
| Mar 31, 2016 | 14.00 Mn |
| Dec 31, 2015 | 14.70 Mn |
| Sep 30, 2015 | 14.60 Mn |
| Jun 30, 2015 | 13.00 Mn |
| Mar 31, 2015 | 13.90 Mn |
| Dec 31, 2014 | -3.30 Mn |
| Sep 30, 2014 | 11.90 Mn |
| Jun 30, 2014 | 27.10 Mn |
| Mar 31, 2014 | 12.10 Mn |
| Dec 31, 2013 | 12.30 Mn |
| Sep 30, 2013 | 12.10 Mn |
| Jun 30, 2013 | 12.10 Mn |
SunCoke Energy 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=SXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SXC", "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=SXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();