Core Molding Technologies Q3 net revenue jumps on tooling projects

By Reuters News


Overview

  • US molded structural products maker's Q3 production revenue rose nearly 20% yr/yr on truck demand

  • Total net revenues rose 54% yr/yr, boosted by higher tooling project revenue

  • Profitability affected by one-time Mexico expansion and higher input costs


Outlook

  • Company expects full-year net sales to be flat to up about 5%

  • Company sees full-year gross margins in the 16% to 17% range

  • Company expects 2026 capital spending of $28 mln to $30 mln


Result Drivers

  • TRUCK DEMAND & NEW PROGRAMS - Co said higher medium and heavy-duty truck demand, new program launches, and strength in building products and industrial and utilities markets lifted production revenue

  • ONE-TIME COSTS - Profitability was reduced by one-time commissioning costs in Monterrey, footprint optimization, and higher external input costs

  • TOOLING PROJECT REVENUE - Larger share of tooling project revenue in sales mix weighed on margins but supports future recurring revenue


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Sales

Miss

$64.80 mln

$86.18 mln (1 Analyst)

Q3 Net Income

Beat

$1.50 mln

$500,000 (1 Analyst)

Q3 Adjusted EBITDA

Meet

$6.40 mln

$6.40 mln (1 Analyst)

Q3 Operating Income

Beat

$1.60 mln

$390,000 (1 Analyst)


Analyst Coverage

  • The one available analyst rating on the shares is "buy"

  • The average consensus recommendation for the non-paper containers & packaging peer group is "buy"

  • Wall Street's median 12-month price target for Core Molding Technologies Inc is $30.00, about 32.7% above its November 2 closing price of $22.60

  • The stock recently traded at 13 times the next 12-month earnings vs. a P/E of 15 three months ago


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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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