Motorcar Parts Q3 sales fall 10% on reduced orders from large customer

Reuters
02/09
Motorcar Parts Q3 sales fall 10% on reduced orders from large customer

Overview

  • Auto parts supplier's fiscal Q3 sales impacted by reduced orders from a large customer

  • Company expects sales rebound in fiscal Q4 from increased ordering activity

  • Company repurchased $5 mln in shares during fiscal Q3

Outlook

  • Motorcar Parts revises fiscal 2026 sales guidance to $750 mln-$760 mln

  • Company expects operating income between $72 mln and $79 mln for fiscal 2026

  • Motorcar Parts anticipates improved gross margin in current fiscal fourth quarter

Result Drivers

  • CUSTOMER ORDERING - Sales impacted by reduced ordering from a large customer due to store closures and distribution consolidations, with recovery expected in Q4

  • COMPETITIVE LANDSCAPE - New business commitments driven by competitor bankruptcy and increased demand for replacement parts

  • MARGIN ACCRETION - Improved operating efficiencies and brake-related capacity utilization contributed to margin gains

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

Miss

$167.70 mln

$189 mln (1 Analyst)

Q3 EPS

$0.09

Q3 Gross Margin

19.60%

Q3 Gross Profit

$32.90 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the auto, truck & motorcycle parts peer group is "buy"

  • Wall Street's median 12-month price target for Motorcar Parts of America Inc is $20.00, about 52.2% above its February 6 closing price of $13.14

  • The stock recently traded at 9 times the next 12-month earnings vs. a P/E of 8 three months ago

Press Release: ID:nBwbLnYVMa

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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