Landstar Q2 revenue beats estimates as freight transportation market "rapidly" improves
Reuters2026/07/28 20:20
Overview
U.S. freight logistics firm's Q2 revenue rose 18% yr/yr, beating analyst expectations
Q2 EPS rose 20% yr/yr to $1.44
Company raised quarterly dividend by 10%
Outlook
Landstar says freight transportation market conditions are rapidly improving
Company says insurance claims environment remains challenging for freight transportation providers
Landstar intends to continue paying quarterly dividends following a 10% increase
Result Drivers
FREIGHT MARKET IMPROVEMENT - Co said results benefited from a rapidly improving freight transportation environment, with truck volumes and truck revenue per load outpacing normal seasonal patterns
HIGHER REVENUE PER LOAD - Truck revenue per load increased about 17% yr/yr, with number of loads hauled via truck up about 2%
INSURANCE AND CLAIMS COSTS - Increased insurance and claims expense, mainly from unfavorable development of prior years’ claims, negatively impacted Q2 results
Company press release: ID:nGNX61wb9T
Key Details
Metric |
Beat/Miss |
Actual |
Consensus Estimate |
Q2 Revenue |
Beat |
$1.43 bln |
$1.34 bln (11 Analysts) |
Q2 EPS |
|
$1.44 |
|
Q2 Dividend |
|
$0.44 |
|
Q2 Gross Profit |
|
$132 mln |
|
Analyst Coverage
The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 2 "strong buy" or "buy", 13 "hold" and 2 "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 Landstar System Inc is $190.00, about 0.9% below its July 27 closing price of $191.63
The stock recently traded at 29 times the next 12-month earnings vs. a P/E of 28 three months ago
Reuters Recommended Reads
July 27 - Canada's TFI International Q2 adjusted profit beats estimates on growth in all businesses
July 28 - UPS hikes full-year forecasts after Amazon delivery reductions, shares drop on investor skepticism
July 28 - PACCAR beats quarterly estimates on strong truck orders
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.)
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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