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CRMT — America's CAR-MART News Story

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America's Car-Mart Q1 revenue falls sharply on inventory constraints

America's Car-Mart Q1 revenue falls sharply on inventory constraints


Overview

  • US used car dealer's fiscal Q1 revenue fell 57% yr/yr as inventory shrank sharply

  • Company attributed declines to capital constraints, not demand, and ongoing strategic review


Outlook

  • Company says resolving capital structure remains its first priority


Result Drivers

  • CAPITAL CONSTRAINTS - Co said limited capacity to purchase inventory and fund originations drove sharp declines in retail units sold and revenue

  • INVENTORY REDUCTION - Inventory drawdown and dealership consolidations reduced vehicles available for sale, further limiting sales volume

  • WEAKER CREDIT PERFORMANCE - Net charge-offs and delinquencies rose due to portfolio contraction, customer cost pressures, and transition to centralized collections


Company press release: ID:nGNX6kJ89L


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Revenue

Miss

$145.75 mln

$253.03 mln (2 Analysts)

Q1 Adjusted Loss Per Share

Miss

$6.65

$0.77 (1 Analyst)


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 1 "strong buy" or "buy", 1 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the auto vehicles, parts & service retailers peer group is "buy"

  • Wall Street's median 12-month price target for America's CAR-MART Inc is $7.50, about 201.2% above its September 8 closing price of $2.49


Reuters Recommended Reads

  • Sept 9 - Destination XL Q2 sales fall on lower store traffic; exits FullBeauty merger

  • Sept 9 - Footwear retailer Caleres' Q2 sales beat estimates on gains across brands

  • Sept 9 - Signet Q2 profit beats estimates, boosts buyback to $700 mln


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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