Icahn Enterprises (IEP) Operating Expenses (2010 - 2026)
Icahn Enterprises' Operating Expenses was $3.36 billion in Q2 2026, up 28.5% from $2.62 billion a year earlier and up 19.3% from the prior quarter.
Icahn Enterprises (IEP) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Icahn Enterprises' Operating Expenses was $11.05 billion through Jun 30, 2026, up 4.7% year-over-year; for FY2025, it came in at $10 billion, down 5.5% from FY2024.
- Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $10.59 billion in FY2024 (-10.7%), $11.86 billion in FY2023 (-16.4%), $14.19 billion in FY2022 (+19.1%) and $11.92 billion in FY2021 (+36.9%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q4 2022.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 28.5%); the worst was Q2 2023 (a decline of 21.4%).
- Per Business Quant data, IEP's Operating Expenses in the three quarters before Q2 2026 was $2.82 billion (Q1 2026), $2.68 billion (Q4 2025) and $2.19 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marathon Petroleum | 137.97 Bn | 121.73 Bn | 9.27 Bn | 45.02 Bn |
| 2 | Valero Energy | 134.23 Bn | 111.17 Bn | 5.47 Bn | 266.00 Mn |
| 3 | HF Sinclair | 23.03 Bn | 17.20 Bn | 1.57 Bn | 9.22 Bn |
| 4 | PBF Energy | 10.79 Bn | 8.35 Bn | 1.15 Bn | 10.41 Bn |
| 5 | Sunoco | 10.43 Bn | 4.80 Bn | 1.46 Bn | 13.68 Bn |
| 6 | Ultrapar Holdings | 8.35 Bn | 1.76 Bn | 912.61 Mn | -124.47 Mn |
| 7 | Cvr Energy | 6.36 Bn | 3.93 Bn | 117.00 Mn | 52.00 Mn |
| 8 | Delek US Holdings | 4.96 Bn | 2.45 Bn | 365.10 Mn | 3.78 Bn |
| 9 | Icahn Enterprises | 4.49 Bn | -1.27 Bn | - | 3.36 Bn |
| 10 | Par Pacific Holdings | 4.36 Bn | 3.68 Bn | 852.68 Mn | 2.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.36 Bn |
| Mar 31, 2026 | 2.82 Bn |
| Dec 31, 2025 | 2.68 Bn |
| Sep 30, 2025 | 2.19 Bn |
| Jun 30, 2025 | 2.62 Bn |
| Mar 31, 2025 | 2.52 Bn |
| Dec 31, 2024 | 2.69 Bn |
| Sep 30, 2024 | 2.72 Bn |
| Jun 30, 2024 | 2.68 Bn |
| Mar 31, 2024 | 2.49 Bn |
| Dec 31, 2023 | 2.89 Bn |
| Sep 30, 2023 | 2.94 Bn |
| Jun 30, 2023 | 2.98 Bn |
| Mar 31, 2023 | 3.05 Bn |
| Dec 31, 2022 | 3.66 Bn |
| Sep 30, 2022 | 3.63 Bn |
| Jun 30, 2022 | 3.79 Bn |
| Mar 31, 2022 | 3.11 Bn |
| Dec 31, 2021 | 3.28 Bn |
| Sep 30, 2021 | 2.88 Bn |
Icahn Enterprises Operating 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=operating-expenses&ticker=IEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=IEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();