Westlake (WLK) Selling, General & Administrative (2010 - 2026)
Westlake's Selling, General & Administrative came in at $253 million for Q2 2026, up 14.5% from $221 million a year earlier and up 7.2% from the prior quarter.
Westlake (WLK) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Westlake reported Selling, General & Administrative of $941 million, up 5.8% year-over-year; for FY2025, it was $900 million, up 3.0% from FY2024.
- Selling, General & Administrative has increased in each of the last five years, with a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $874 million in FY2024 (+1.0%), $865 million in FY2023 (+3.6%), $835 million in FY2022 (+51.5%) and $551 million in FY2021 (+22.7%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Year-over-year, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2022 (growth of 76.2%), and the weakest in Q1 2024 (a decline of 5.9%).
- Business Quant data shows WLK's Selling, General & Administrative at $236 million (Q1 2026), $224 million (Q4 2025) and $228 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 200.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 95.70 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 931.00 Mn |
| 10 | Westlake | 8.11 Bn | -765.48 Mn | 652.00 Mn | 253.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 253.00 Mn |
| Mar 31, 2026 | 236.00 Mn |
| Dec 31, 2025 | 224.00 Mn |
| Sep 30, 2025 | 228.00 Mn |
| Jun 30, 2025 | 221.00 Mn |
| Mar 31, 2025 | 227.00 Mn |
| Dec 31, 2024 | 226.00 Mn |
| Sep 30, 2024 | 215.00 Mn |
| Jun 30, 2024 | 224.00 Mn |
| Mar 31, 2024 | 209.00 Mn |
| Dec 31, 2023 | 224.00 Mn |
| Sep 30, 2023 | 206.00 Mn |
| Jun 30, 2023 | 213.00 Mn |
| Mar 31, 2023 | 222.00 Mn |
| Dec 31, 2022 | 200.00 Mn |
| Sep 30, 2022 | 215.00 Mn |
| Jun 30, 2022 | 220.00 Mn |
| Mar 31, 2022 | 200.00 Mn |
| Dec 31, 2021 | 168.00 Mn |
| Sep 30, 2021 | 122.00 Mn |
Westlake Selling, General & Administrative 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=selling-general-and-administrative&ticker=WLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();