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World Acceptance Q1 revenue rises on loan volume growth

World Acceptance Q1 revenue rises on loan volume growth

ReutersReuters2026/07/24 11:44
By:Reuters


Overview

  • U.S. personal lender's fiscal Q1 revenue rose 4.8% yr/yr

  • Posts adjusted EPS for fiscal Q1 of $2.12

  • Company repurchased 15,858 shares for about $2.2 mln during the quarter


Outlook

  • Company expects to carefully increase new customer lending in coming quarters


Result Drivers

  • EXISTING CUSTOMER BORROWING - Growth in loan volume was driven by increased borrowing from existing and refinance customers, while new customer loan volume fell sharply due to tightened underwriting

  • CREDIT QUALITY IMPROVEMENT - Lower delinquency and net charge-off rates, along with a reduced provision for credit losses, contributed to results

  • HIGHER OPERATING EXPENSES - General and administrative expenses increased, mainly due to CEO transition-related costs


Company press release: ID:nBw5nMsPHa


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Revenue

Miss

$139.21 mln

$143.90 mln (1 Analyst)

Q1 Adjusted EPS

Beat

$2.12

$0.58 (1 Analyst)

Q1 EPS

$1.33

Q1 Net Income

$6.11 mln


Analyst Coverage

  • The one available analyst rating on the shares is "hold"

  • The average consensus recommendation for the consumer lending peer group is "buy."

  • Wall Street's median 12-month price target for World Acceptance Corp is $141.00, about 22.1% below its July 23 closing price of $181.08

  • The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 10 three months ago


Reuters Recommended Reads

  • July 23 - Enova International Inc Q2 revenue beats estimates on originations growth

  • July 22 - First Community Q2 net income rises; announces CEO transition

  • July 23 - Switzerland's Cembra H1 net income rises on lower costs


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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