Industrial coatings provider Axalta's Q3 net sales miss estimates, adjusted EPS beats

Reuters
2025/10/28
Industrial coatings provider Axalta's Q3 net sales miss estimates, adjusted EPS beats

Overview

  • Axalta Q3 net sales fell 2% yr/yr, missing analyst expectations

  • Adjusted EPS for Q3 sets record, beats consensus expectations

  • Company executed $100 mln in share repurchases during Q3

Outlook

  • Axalta projects Q4 net sales growth in mid single-digit percentage

  • Axalta expects FY 2025 net sales to exceed $5.1 bln

  • Axalta plans up to $250 mln in share repurchases in Q4

Result Drivers

  • PERFORMANCE COATINGS CHALLENGES - Net sales in Performance Coatings fell due to macroeconomic pressures in North America, partially offset by positive price-mix and favorable foreign currency translation

  • MOBILITY COATINGS GROWTH - Mobility Coatings net sales rose 4% due to positive price-mix and favorable foreign currency translation, despite volume softness

  • COST MANAGEMENT - Reduction in selling, general, and administrative expenses and lower interest expense contributed to increased net income

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

Miss

$1.28 bln

$1.30 bln (15 Analysts)

Q3 Adjusted EPS

Beat

$0.67

$0.64 (18 Analysts)

Q3 EPS

$0.51

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 12 "strong buy" or "buy", 8 "hold" and no "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 Axalta Coating Systems Ltd is $35.55, about 18.3% above its October 27 closing price of $29.06

  • The stock recently traded at 11 times the next 12-month earnings vs. a P/E of 11 three months ago

Press Release: ID:nGNX7B8t4C

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.

(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.)

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