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Aprea Therapeutics Q2 net loss widens on higher R&D costs

Aprea Therapeutics Q2 net loss widens on higher R&D costs


Overview

  • US oncology drug developer reported Q2 net loss widened to $3.6 mln, or $0.07 per share

  • Cash and equivalents rose to $41.2 mln, boosted by $30 mln private placement

  • R&D expenses increased as company advanced Phase 1 APR-1051 trial and expanded enrollment


Outlook

  • Aprea expects to report next APR-1051 clinical data update in Q4 2026

  • Company anticipates completing APR-1051 dose escalation and expansion in Q2 2027

  • Aprea expects cash and equivalents to fund operations into Q1 2028


Result Drivers

  • R&D EXPENSES - Higher R&D costs driven by expanded enrollment and dose escalation in Phase 1 APR-1051 trial

  • TRIAL EXPANSION - Accelerated enrollment and increase in active clinical sites for ACESOT-1051 trial

  • EARLY CLINICAL ACTIVITY - Early signs of activity for APR-1051, including partial responses and disease stabilization, prompted further trial expansion


Company press release: ID:nGNX4Bn51r


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Loss Per Share

$0.07


Analyst Coverage

  • The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 4 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the biotechnology & medical research peer group is "buy."

  • Wall Street's median 12-month price target for Aprea Therapeutics Inc is $5.00, about 657.5% above its August 11 closing price of $0.66


Reuters Recommended Reads

  • Aug 11 - Oncology firm Immunome's Q2 net loss widens as R&D costs rise

  • Aug 11 - Intensity Therapeutics Q2 net loss widens as R&D costs rise

  • Aug 11 - Cardiff Oncology Q2 operating expenses fall on lower R&D 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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