Westlake (WLK) Operating Expenses (2010 - 2026)
Westlake's Operating Expenses came in at $256 million for Q2 2026, down 23.8% from $336 million a year earlier but up 0.8% from the prior quarter.
Powered by 
Analysis
Westlake (WLK) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Westlake reported Operating Expenses of $1.48 billion, up 35.3% year-over-year; for FY2025, it came in at $1.54 billion, up 59.6% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $965 million in FY2024 (+8.1%), $893 million in FY2023 (+2.9%), $868 million in FY2022 (+51.7%) and $572 million in FY2021 (+17.9%).
- The five-year range for quarterly Operating Expenses is $128 million (Q3 2021) to $725 million (Q4 2025).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 34.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 209.8%), and the weakest in Q2 2026 (a decline of 23.8%).
- Business Quant data shows WLK's Operating Expenses at $254 million (Q1 2026), $725 million (Q4 2025) and $245 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Westlake | 8.10 Bn | -775.70 Mn | 652.00 Mn | 256.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 256.00 Mn |
| Mar 31, 2026 | 254.00 Mn |
| Dec 31, 2025 | 725.00 Mn |
| Sep 30, 2025 | 245.00 Mn |
| Jun 30, 2025 | 336.00 Mn |
| Mar 31, 2025 | 234.00 Mn |
| Dec 31, 2024 | 234.00 Mn |
| Sep 30, 2024 | 290.00 Mn |
| Jun 30, 2024 | 228.00 Mn |
| Mar 31, 2024 | 213.00 Mn |
| Dec 31, 2023 | 246.00 Mn |
| Sep 30, 2023 | 206.00 Mn |
| Jun 30, 2023 | 216.00 Mn |
| Mar 31, 2023 | 225.00 Mn |
| Dec 31, 2022 | 209.00 Mn |
| Sep 30, 2022 | 221.00 Mn |
| Jun 30, 2022 | 227.00 Mn |
| Mar 31, 2022 | 211.00 Mn |
| Dec 31, 2021 | 183.00 Mn |
| Sep 30, 2021 | 128.00 Mn |
API Access
Westlake 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=WLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WLK", "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=WLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();