Charles River Q4 revenue slightly beats expectations

Reuters
02/18
Charles River Q4 revenue slightly beats expectations

Overview

  • Preclinical drug developer's Q4 revenue slightly beat analyst expectations, helped by impact of currency translation

  • Adjusted EPS for Q4 beat analyst expectations

  • Company expects organic revenue growth to return in second half of 2026

Outlook

  • Charles River expects 2026 reported revenue to be flat to up 1.5%; non-GAAP EPS to be $10.70 to $11.20

  • Company anticipates lower RMS revenue due to declines in large model sales

Result Drivers

  • DSA AND MANUFACTURING IMPACT - Organic revenue decline driven by lower sales in DSA and Manufacturing segments

  • INTANGIBLE ASSET IMPAIRMENTS - Non-cash impairments in Biologics Solutions and Cell Solutions affected GAAP results

  • HIGHER COSTS IN DSA - Non-GAAP operating margin decreased due to higher study-related direct costs

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Slight Beat*

$994.20 mln

$987 mln (11 Analysts)

Q4 Adjusted EPS

Beat

$2.39

$2.34 (13 Analysts)

Q4 EPS

-$5.62

Q4 Adjusted Net Income

Beat

$118.80 mln

$116.30 mln (8 Analysts)

*Applies to a deviation of less than 1%; not applicable for per-share numbers.

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 11 "strong buy" or "buy", 8 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the biotechnology & medical research peer group is "buy"

  • Wall Street's median 12-month price target for Charles River Laboratories International Inc is $220.00, about 38.8% above its February 17 closing price of $158.53

  • The stock recently traded at 15 times the next 12-month earnings vs. a P/E of 17 three months ago

Press Release: ID:nBw3RmmCTa

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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