Debt collection firm PRA Group reports Q3 net loss on impairment charge

Reuters
2025/11/04
Debt collection firm PRA Group reports Q3 net loss on impairment charge

Overview

  • PRA Group Q3 net loss due to $413 mln goodwill impairment charge

  • Cash collections rise 14% yr/yr, driven by U.S. legal collections and European performance

  • Adjusted net income for Q3 reaches $21 mln, excluding goodwill impairment

Outlook

  • Company targets $1.2 bln in portfolio purchases for 2025

  • Company has $297.8 mln in estimated forward flow commitments over next 12 months

  • Company investing in U.S. legal collections channel to drive growth

Result Drivers

  • CASH COLLECTIONS GROWTH - Cash collections increased 13.7% to $542.2 mln, driven by recent portfolio purchases and strong European performance

  • U.S. LEGAL COLLECTIONS - Investments in U.S. legal collections led to a 27% increase in cash collections from this channel

  • GOODWILL IMPAIRMENT - A $413 mln non-cash goodwill impairment charge related to a European acquisition impacted net results

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 EPS

-$10.43

Q3 Net Income

-$403.96 mln

Q3 Income From Operations

-$315.54 mln

Q3 Operating Expenses

$626.68 mln

Q3 Pretax Profit

-$379.60 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", 2 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the corporate financial services peer group is "buy"

  • Wall Street's median 12-month price target for PRA Group Inc is $24.00, about 42.9% above its October 31 closing price of $13.71

  • The stock recently traded at 7 times the next 12-month earnings vs. a P/E of 8 three months ago

Press Release: ID:nPngcFd8a

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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