Icahn Enterprises (IEP) Cost of Revenue (2010 - 2018)
Icahn Enterprises (IEP) reported Cost of Revenue of $3.7 billion for Q3 2019, up 14.6% from the prior quarter.
Icahn Enterprises (IEP) Cost of Revenue (2010 - 2018) Analysis & Trends
Over the twelve months ended Sep 30, 2012, Icahn Enterprises' Cost of Revenue came in at $10.97 billion; for FY2011, it was $7.87 billion, up 16.5% from FY2010.
- By year, Cost of Revenue came in at $6.76 billion in FY2010 (+15.7%) and $5.84 billion in FY2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Marathon Petroleum | 137.97 Bn | 121.73 Bn | 9.27 Bn | 43.06 Bn |
| 2 | Valero Energy | 134.23 Bn | 111.17 Bn | 5.47 Bn | 39.01 Bn |
| 3 | HF Sinclair | 23.03 Bn | 17.20 Bn | 1.57 Bn | 8.82 Bn |
| 4 | PBF Energy | 10.79 Bn | 8.35 Bn | 1.15 Bn | 10.53 Bn |
| 5 | Sunoco | 10.43 Bn | 4.80 Bn | 1.46 Bn | 12.80 Bn |
| 6 | Ultrapar Holdings | 8.35 Bn | 1.76 Bn | 912.61 Mn | 7.29 Bn |
| 7 | Cvr Energy | 6.36 Bn | 3.93 Bn | 117.00 Mn | 2.62 Bn |
| 8 | Delek US Holdings | 4.96 Bn | 2.45 Bn | 365.10 Mn | 3.72 Bn |
| 9 | Icahn Enterprises | 4.49 Bn | -1.27 Bn | - | - |
| 10 | Par Pacific Holdings | 4.36 Bn | 3.68 Bn | 852.68 Mn | 2.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 2.41 Bn |
| Jun 30, 2018 | 2.51 Bn |
| Mar 31, 2018 | 3.86 Bn |
| Dec 31, 2017 | 8.83 Bn |
| Sep 30, 2017 | 2.05 Bn |
| Jun 30, 2017 | 2.07 Bn |
| Mar 31, 2017 | 3.69 Bn |
| Dec 31, 2016 | 3.46 Bn |
| Sep 30, 2016 | 3.38 Bn |
| Jun 30, 2016 | 3.45 Bn |
| Mar 31, 2016 | 3.12 Bn |
| Dec 31, 2015 | 3.07 Bn |
| Sep 30, 2015 | 3.22 Bn |
| Jun 30, 2015 | 3.32 Bn |
| Mar 31, 2015 | 3.13 Bn |
| Dec 31, 2014 | 3.80 Bn |
| Sep 30, 2014 | 4.22 Bn |
| Jun 30, 2014 | 4.33 Bn |
| Mar 31, 2014 | 4.14 Bn |
| Dec 31, 2013 | 4.20 Bn |
Icahn Enterprises Cost of Revenue 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=cost-of-revenue&ticker=IEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "IEP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=IEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();