World Kinect (WKC) Non Operating Interest Expenses (2012 - 2016)
World Kinect's Non Operating Interest Expenses came in at $9.6 million for Q2 2016, up 24.7% from $7.7 million a year earlier and up 7.9% from the prior quarter.
World Kinect (WKC) Non Operating Interest Expenses (2012 - 2016) Analysis & Trends
Over the trailing twelve months to Jun 30, 2016, World Kinect reported Non Operating Interest Expenses of $37.1 million, up 5.4% year-over-year; for FY2015, it came in at $34.9 million, up 11.9% from FY2014.
- Non Operating Interest Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 44.9% (FY2010 to FY2015).
- Going back by year, Non Operating Interest Expenses was $31.2 million in FY2014 (+47.2%), $21.2 million in FY2013 (+6.0%), $20.01 million in FY2012 (+20.4%) and $16.61 million in FY2011 (+204.3%).
- The Q2 2016 figure represents the highest quarterly Non Operating Interest Expenses since Q3 2014.
- Year-over-year, Non Operating Interest Expenses has increased for three consecutive quarters, with growth averaging 26.0% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2014 (growth of 68.0%), and the weakest in Q1 2013 (a decline of 17.2%).
- Business Quant data shows WKC's Non Operating Interest Expenses at $8.9 million (Q1 2016), $9.4 million (Q4 2015) and $9.2 million (Q3 2015) in the three quarters before Q2 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Valero Energy | 111.70 Bn | 91.91 Bn | 5.47 Bn | 145.00 Mn |
| 2 | Marathon Petroleum | 111.10 Bn | 101.50 Bn | 9.27 Bn | 340.00 Mn |
| 3 | HF Sinclair | 19.09 Bn | 13.31 Bn | 1.57 Bn | 20.00 Mn |
| 4 | Sunoco | 9.98 Bn | 4.36 Bn | 1.46 Bn | 204.00 Mn |
| 5 | PBF Energy | 9.19 Bn | 6.88 Bn | 1.15 Bn | 42.00 Mn |
| 6 | Ultrapar Holdings | 7.82 Bn | 1.60 Bn | 912.61 Mn | -143.84 Mn |
| 7 | Cvr Energy | 5.13 Bn | 2.92 Bn | 117.00 Mn | - |
| 8 | Icahn Enterprises | 4.80 Bn | -958.32 Mn | - | 121.00 Mn |
| 9 | Delek US Holdings | 4.37 Bn | 2.10 Bn | 365.10 Mn | - |
| 10 | World Kinect | 1.80 Bn | 856.19 Mn | 365.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 9.60 Mn |
| Mar 31, 2016 | 8.90 Mn |
| Dec 31, 2015 | 9.40 Mn |
| Sep 30, 2015 | 9.20 Mn |
| Jun 30, 2015 | 7.70 Mn |
| Mar 31, 2015 | 8.50 Mn |
| Dec 31, 2014 | 8.90 Mn |
| Sep 30, 2014 | 10.10 Mn |
| Jun 30, 2014 | 6.20 Mn |
| Mar 31, 2014 | 6.00 Mn |
| Dec 31, 2013 | 6.03 Mn |
| Sep 30, 2013 | 6.01 Mn |
| Jun 30, 2013 | 5.08 Mn |
| Mar 31, 2013 | 4.08 Mn |
| Dec 31, 2012 | 4.82 Mn |
| Sep 30, 2012 | 4.56 Mn |
| Jun 30, 2012 | 5.69 Mn |
| Mar 31, 2012 | 4.93 Mn |
World Kinect 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=WKC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "WKC", "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=WKC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();