Westlake Q3 sales beat estimates on higher sales prices, profitability plan benefits
Overview
Chemicals and building products maker's Q3 sales rose, beating analyst expectations
Adjusted net income improved yr/yr, driven by higher sales prices and profitability plan benefits
Company recorded charges for previously announced facility shutdowns, including a PVC plant in Germany
Outlook
Company expects higher borrowing costs to weigh on HIP near-term sales volumes
Westlake sees medium- to long-term HIP growth supported by infrastructure spending and investments
Company says PEM selling prices have stabilized with upward momentum entering Q4 2026
Result Drivers
PEM SEGMENT PRICING - Higher average sales prices in Performance and Essential Materials segment contributed to yr/yr earnings improvement
EUROPEAN ENERGY AND DEMAND - PEM segment earnings were negatively affected by higher energy costs, weak demand, and increased import pressure in Europe
HIP VOLUME AND COSTS - Housing and Infrastructure Products segment was impacted by lower sales volumes, especially for pipe & fittings, and higher distribution costs
Company press release:
Key Details
Metric | Beat/Miss | Actual | Consensus Estimate |
Q3 Sales | Beat | $2.98 bln | $2.95 bln (14 Analysts) |
Q3 EPS | $0.05 | ||
Q3 Net Income | $6 mln | ||
Q3 Pretax Profit | $8 mln |
Analyst Coverage
The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 7 "strong buy" or "buy", 11 "hold" and 2 "sell" or "strong sell"
The average consensus recommendation for the commodity chemicals peer group is "buy."
Wall Street's median 12-month price target for Westlake Corp is $76.00, about 11% above its November 3 closing price of $68.47
The stock recently traded at 30 times the next 12-month earnings vs. a P/E of 23 three months ago
Reuters Recommended Reads
Nov 2 - Celanese Q3 sales rise 6%
Nov 2 - Chemours Q3 adjusted profit misses estimates despite titanium pricing gains
Nov 3 - DuPont Q3 sales beat estimates, lifts 2026 profit outlook
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(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)