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Albany International Q2 revenue misses on Machine Clothing weakness

Albany International Q2 revenue misses on Machine Clothing weakness


Overview

  • Engineered components maker's Q2 net revenue rose 6% but missed analyst expectations

  • Adjusted EPS for Q2 rose 45% to $0.82

  • Growth driven by Engineered Composites, offset by Machine Clothing softness and equipment downtime


Outlook

  • Company sees Q3 consolidated net revenue between $320 mln and $330 mln

  • Machine Clothing Q3 net revenue expected between $165 mln and $170 mln

  • Company expects Q3 adjusted EPS between $0.60 and $0.70


Result Drivers

  • ENGINEERED COMPOSITES GROWTH - Co said higher volume in Engineered Composites, especially from commercial and defense aerospace programs, drove revenue increase

  • MACHINE CLOTHING SOFTNESS - Co said Machine Clothing revenues fell due to cyclical declines in the Americas and equipment downtime

  • COST CONTAINMENT - Co attributed improved gross profit and lower SG&A expenses to cost controls and efficiency gains


Company press release: ID:nBws56msa


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Sales

Miss

$329.48 mln

$340.10 mln (3 Analysts)

Q2 Gross Profit

$107.90 mln

Q2 Operating Income

$32.14 mln

Q2 Pretax Profit

$26.03 mln


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is no "strong buy" or "buy", 3 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the industrial machinery & equipment peer group is "buy."

  • Wall Street's median 12-month price target for Albany International Corp is $61.00, about 18.8% below its August 3 closing price of $75.12

  • The stock recently traded at 25 times the next 12-month earnings vs. a P/E of 21 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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