Superior Group Q3 sales beat estimates; tightens outlook

By Reuters News


Overview

  • U.S. uniform and branded products supplier's Q3 net sales rose 5% yr/yr, beating analyst expectations

  • Q3 adjusted EPS was flat yr/yr at $0.17

  • Company tightened full-year 2026 net sales and adjusted EPS outlook


Outlook

  • Superior Group tightens 2026 net sales forecast to $578 mln-$585 mln

  • Company tightens 2026 adj EPS forecast to $0.60-$0.66

  • Company expects Healthcare Apparel strategy to improve margins and reduce working capital ahead


Result Drivers

  • SEGMENT MOMENTUM - Co said sales growth was driven by continued momentum in Branded Products and Contact Centers segments, per CEO Michael Benstock

  • HEALTHCARE APPAREL STRATEGY - Co said new leadership in Healthcare Apparel is executing a more focused product strategy to improve margins and reduce working capital


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

Beat

$146 mln

$143.48 mln (4 Analysts)

Q3 EPS

$0.17

Q3 Net Income

$2.60 mln


Analyst Coverage

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

  • The average consensus recommendation for the apparel & accessories peer group is "buy"

  • Wall Street's median 12-month price target for Superior Group of Companies Inc is $18.00, about 33.9% above its November 6 closing price of $13.44

  • The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 16 three months ago


Reuters Recommended Reads

  • Nov 6 - Under Armour Q2 revenue falls 7%, misses estimates

  • Nov 6 - Canada's Taiga Building Products Q3 revenue rises on product mix changes

  • Nov 6 - Canada's Doman Q3 revenue rises but misses estimates


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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