Overview
U.S. auto parts supplier's Q1 sales rose 2.9%, beating analyst expectations
Adjusted net loss for Q1 widened year-over-year and missed analyst expectations
Adjusted EBITDA for Q1 beat analyst expectations despite year-over-year decline
Outlook
Company says it remains on track to achieve or exceed full-year sales and profitability targets
Cooper Standard expects to provide a formal update to full-year guidance with Q2 results
Company says underlying demand for new light vehicle production remains strong in key regions
Result Drivers
FOREIGN EXCHANGE - Sales growth was primarily driven by favorable foreign exchange, partially offset by lower volume and mix
VOLUME/MIX AND COST INFLATION - Year-over-year decline in adjusted net income and adjusted EBITDA was mainly due to unfavorable volume and mix, the non-recurrence of certain royalty payments received in the first quarter of 2025, and general cost inflation
EFFICIENCY GAINS - Cost savings from increased manufacturing and purchasing efficiency partially offset negative drivers
Company press release: ID:nPn2gqqbMa
Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Sales
Beat
$686.40 mln
$660 mln (3 Analysts)
Q1 Adjusted Net Income
Miss
-$5.20 mln
-$3.07 mln (3 Analysts)
Q1 Net Income
-$33.30 mln
Q1 Adjusted EBITDA
Beat
$51 mln
$48.03 mln (3 Analysts)
Q1 Gross Profit
$82.42 mln
Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", 1 "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 Cooper-Standard Holdings Inc is $55.00, about 81.5% above its May 5 closing price of $30.31
The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 11 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.)