Marten Transport slightly beats Q4 revenue expectations

Reuters
01/28
Marten Transport slightly beats Q4 revenue expectations

Overview

  • U.S.-based truckload carrier's Q4 revenue slightly beat analyst expectations

  • Net income for Q4 declined compared to the previous year

  • Company noted sequential improvements in profitability and operational metrics

Outlook

  • Company focuses on minimizing freight market impact with data-driven efficiencies and cost controls

  • Company sees immigration enforcement efforts as positive for growth opportunities

Result Drivers

  • FREIGHT MARKET RECESSION - Co cited historic freight market recession with oversupply and weak demand as pressure on earnings

  • OPERATIONAL IMPROVEMENTS - Co reported sequential increases in revenue per tractor, rate per mile, and miles per tractor

  • IMMIGRATION ENFORCEMENT IMPACT - Co expects stricter immigration enforcement to positively impact growth opportunities

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Slight Beat*

$210.11 mln

$209.32 mln (3 Analysts)

Q4 EPS

$0.05

Q4 Net Income

$3.70 mln

Q4 EBIT

$4.58 mln

Q4 Operating Expenses

$205.53 mln

Q4 Pretax Profit

$5.05 mln

*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 "hold" and the breakdown of recommendations is no "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the ground freight & logistics peer group is "buy."

  • Wall Street's median 12-month price target for Marten Transport Ltd is $11.50, about 7.9% below its January 26 closing price of $12.48

  • The stock recently traded at 41 times the next 12-month earnings vs. a P/E of 28 three months ago

Press Release: ID:nGNX4Pzg9r

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@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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