Darling Ingredients Q4 revenue beats expectations

Reuters
Feb 12
Darling Ingredients Q4 revenue beats expectations

Overview

  • Animal by-products processor's Q4 revenue rose, beating analyst expectations

  • Net income for Q4 decreased due to restructuring and asset impairment charges

  • Company monetized $255 mln of Production Tax Credit sales, enhancing cash generation

Outlook

  • Darling Ingredients estimates Q1 2026 core ingredients adjusted EBITDA at $240-$250 mln

  • Company anticipates EPA's Renewable Volume Obligation to support fat prices

  • Darling Ingredients expects modest impact on core ingredients performance due to market pricing

Result Drivers

  • RESTRUCTURING IMPACT - Darling Ingredients' Q4 net income was affected by $58 mln in restructuring and asset impairment charges related to Enviroflight and CTH natural casing businesses

  • OPERATIONAL EXCELLENCE - Despite lower fat prices, operational excellence drove EBITDA growth and gross margin improvement, according to CEO Randall C. Stuewe

  • TAX CREDIT MONETIZATION - Monetization of $255 mln of Production Tax Credit sales enhanced cash generation, aiding deleveraging efforts

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Sales

Beat

$1.71 bln

$1.54 bln (11 Analysts)

Q4 EPS

$0.35

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 15 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the food processing peer group is "buy"

  • Wall Street's median 12-month price target for Darling Ingredients Inc is $48.50, about 2.3% below its February 11 closing price of $49.62

  • The stock recently traded at 20 times the next 12-month earnings vs. a P/E of 14 three months ago

Press Release: ID:nBw533y4Ba

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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