Architectural solutions firm Armstrong's Q4 sales rise 6% on Mineral Fiber unit strength

Reuters02-24
Architectural solutions firm Armstrong's Q4 sales rise 6% on Mineral Fiber unit strength

Overview

  • Architectural solutions firm's Q4 revenue grew 6% but missed analyst expectations

  • Adjusted EPS for Q4 missed analyst expectations

  • Company repurchased 0.3 mln shares for $50 mln in Q4

Outlook

  • Company expects 2026 net sales of $1.745 bln to $1.785 bln

  • Company forecasts 2026 adjusted EBITDA of $600 mln to $620 mln

  • Company anticipates 2026 adjusted EPS of $8.05 to $8.35

Result Drivers

  • MINERAL FIBER SALES - Mineral Fiber sales increased 2.7% due to favorable AUV, despite lower volumes

  • ARCHITECTURAL SPECIALTIES GROWTH - Architectural Specialties sales rose 11% due to acquisitions and organic growth

  • OPERATING INCOME DRIVERS - Operating income rose 12.3% due to AUV benefits and increased WAVE equity earnings

Company press release: ID:nBw116SkFa

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Sales

Miss

$388.30 mln

$400.92 mln (10 Analysts)

Q4 Adjusted EPS

Miss

$1.61

$1.68 (10 Analysts)

Q4 EPS

$1.51

Q4 Adjusted Net Income

$70 mln

Q4 Net Income

$65.50 mln

Q4 Adjusted EBITDA

$124 mln

Q4 Operating Income

$92 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 6 "strong buy" or "buy", 5 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the construction supplies & fixtures peer group is "buy"

  • Wall Street's median 12-month price target for Armstrong World Industries Inc is $205.00, about 6.3% above its February 23 closing price of $192.83

  • The stock recently traded at 23 times the next 12-month earnings vs. a P/E of 23 three months ago

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