Huntsman (HUN) Operating Expenses (2009 - 2026)
Huntsman's Operating Expenses was $208 million in Q2 2026, down 31.1% from $302 million a year earlier but up 4.5% from the prior quarter.
Huntsman (HUN) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huntsman's Operating Expenses was $828 million through Jun 30, 2026, down 8.4% year-over-year; for FY2025, it was $882 million, down 1.0% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $891 million in FY2024 (+8.4%), $822 million in FY2023 (-5.9%), $874 million in FY2022 (+2.5%) and $853 million in FY2021 (+56.5%).
- Quarterly Operating Expenses has moved between $159 million (Q1 2025) and $302 million (Q2 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 1.6%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2025 (growth of 44.5%); the worst was Q1 2025 (a decline of 33.5%).
- Per Business Quant data, HUN's Operating Expenses in the three quarters before Q2 2026 was $199 million (Q1 2026), $223 million (Q4 2025) and $198 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.70 Bn | 212.28 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 113.85 Bn | 106.42 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.94 Bn | 80.98 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 66.56 Bn | 61.75 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 40.79 Bn | 30.30 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.45 Bn | 30.27 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Qnity Electronics | 24.87 Bn | 22.01 Bn | 666.00 Mn | 298.00 Mn |
| 8 | Ati | 24.77 Bn | 22.80 Bn | 309.80 Mn | 99.60 Mn |
| 9 | Ppg Industries | 24.21 Bn | 16.86 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Huntsman | 1.44 Bn | -175.38 Mn | 245.00 Mn | 208.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 208.00 Mn |
| Mar 31, 2026 | 199.00 Mn |
| Dec 31, 2025 | 223.00 Mn |
| Sep 30, 2025 | 198.00 Mn |
| Jun 30, 2025 | 302.00 Mn |
| Mar 31, 2025 | 159.00 Mn |
| Dec 31, 2024 | 251.00 Mn |
| Sep 30, 2024 | 192.00 Mn |
| Jun 30, 2024 | 209.00 Mn |
| Mar 31, 2024 | 239.00 Mn |
| Dec 31, 2023 | 206.00 Mn |
| Sep 30, 2023 | 204.00 Mn |
| Jun 30, 2023 | 204.00 Mn |
| Mar 31, 2023 | 208.00 Mn |
| Dec 31, 2022 | 217.00 Mn |
| Sep 30, 2022 | 211.00 Mn |
| Jun 30, 2022 | 214.00 Mn |
| Mar 31, 2022 | 232.00 Mn |
| Dec 31, 2021 | 222.00 Mn |
| Sep 30, 2021 | 207.00 Mn |
Huntsman 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=HUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HUN", "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=HUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();