Icahn Enterprises (IEP) Operating Margin (2010 - 2018)
Icahn Enterprises (IEP) recorded Operating Margin of -76.92% in Q3 2019, down 8.74 percentage points from the prior quarter.
Icahn Enterprises (IEP) Operating Margin (2010 - 2018) Analysis & Trends
On a TTM basis, Icahn Enterprises' Operating Margin came in at -66.38% as of Sep 30, 2012; for FY2011, it came in at -51.24%, up 14.84 percentage points from FY2010.
- Across earlier years, Operating Margin came in at -66.07% in FY2010 (-11.50 pp) and -54.57% in FY2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Marathon Petroleum | 108.91 Bn | 81.71 Bn | 12.69 Bn | 18.50% |
| 2 | Valero Energy | 103.58 Bn | 75.45 Bn | 9.41 Bn | 19.68% |
| 3 | HF Sinclair | 18.41 Bn | 10.69 Bn | 3.15 Bn | 24.61% |
| 4 | Sunoco | 8.94 Bn | 3.32 Bn | 1.46 Bn | 4.09% |
| 5 | PBF Energy | 8.58 Bn | 4.07 Bn | 2.17 Bn | 17.32% |
| 6 | Ultrapar Holdings | 6.02 Bn | -1.22 Bn | 912.61 Mn | 7.25% |
| 7 | Cvr Energy | 4.25 Bn | 1.82 Bn | 117.00 Mn | 2.85% |
| 8 | Delek US Holdings | 3.99 Bn | 1.48 Bn | 365.10 Mn | 7.40% |
| 9 | Icahn Enterprises | 3.59 Bn | -2.17 Bn | - | - |
| 10 | Bw Lpg | 3.41 Bn | 2.39 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -91.37% |
| Jun 30, 2018 | 14.99% |
| Mar 31, 2018 | -116.39% |
| Dec 31, 2017 | -358.98% |
| Sep 30, 2017 | -39.17% |
| Jun 30, 2017 | -11.72% |
| Mar 31, 2017 | -256.98% |
| Dec 31, 2016 | 118.53% |
| Sep 30, 2016 | 9.70% |
| Jun 30, 2016 | -0.76% |
| Mar 31, 2016 | -121.05% |
| Dec 31, 2015 | -136.50% |
| Sep 30, 2015 | -97.69% |
| Jun 30, 2015 | 18.88% |
| Mar 31, 2015 | 16.43% |
| Dec 31, 2014 | -114.34% |
| Sep 30, 2014 | -103.77% |
| Jun 30, 2014 | 21.98% |
| Mar 31, 2014 | 7.01% |
| Dec 31, 2013 | 3.10% |
Icahn Enterprises Operating Margin 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=operating-margin&ticker=IEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=IEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();