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Genelux posts wider-than-expected Q2 loss on higher R&D expenses

Genelux posts wider-than-expected Q2 loss on higher R&D expenses


Overview

  • US immuno-oncology firm's Q2 net loss widened, missing analyst expectations

  • Income from operations for Q2 missed analyst expectations

  • Operating expenses rose due to higher Phase 3 trial costs


Outlook

  • Genelux expects topline data from Phase 3 OnPrime/GOG-3076 ovarian cancer trial in 2H26

  • Company anticipates additional dose-escalation updates from systemic Olvi-Vec studies in 2026

  • Genelux expects cash and equivalents to fund operations into 1Q27


Result Drivers

  • PHASE 3 TRIAL COSTS - Co said higher R&D expenses were primarily due to increased clinical trial costs for the Phase 3 OnPrime/GOG-3076 registration trial

  • STOCK COMPENSATION - Slight increase in G&A expenses was mainly due to higher stock compensation


Company press release: ID:nGNX3Y4JqX


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Net Loss

Miss

$9.47 mln

$8.77 mln (6 Analysts)

Q2 Income from Operations

Miss

-$9.65 mln

-$8.95 mln (6 Analysts)

Q2 Operating Expenses

$9.65 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 6 "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 Genelux Corporation is $16.00, about 492.6% above its August 12 closing price of $2.70


Reuters Recommended Reads

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

  • Aug 13 - Aktis Oncology Q2 net loss widens on higher R&D, administrative costs

  • Aug 13 - Pyxis Oncology Q2 loss widens on increased administrative 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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