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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Marathon Petroleum | 103.92 Bn | 76.72 Bn | 12.69 Bn | 43.80 Bn |
| 2 | Valero Energy | 98.70 Bn | 70.56 Bn | 9.41 Bn | 36.69 Bn |
| 3 | HF Sinclair | 17.12 Bn | 9.40 Bn | 3.15 Bn | 7.71 Bn |
| 4 | Sunoco | 8.45 Bn | 5.30 Bn | 1.56 Bn | 16.47 Bn |
| 5 | PBF Energy | 7.96 Bn | 3.45 Bn | 2.17 Bn | 9.96 Bn |
| 6 | Ultrapar Holdings | 5.80 Bn | -1.43 Bn | 912.61 Mn | 7.29 Bn |
| 7 | Delek US Holdings | 3.90 Bn | 1.39 Bn | 365.10 Mn | 3.72 Bn |
| 8 | Cvr Energy | 3.81 Bn | 775.98 Mn | 783.00 Mn | 2.50 Bn |
| 9 | Icahn Enterprises | 3.40 Bn | -2.86 Bn | - | - |
| 10 | Bw Lpg | 3.31 Bn | 2.29 Bn | - | 33.18 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();