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ALXO — ALX Oncology Holdings News Story

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ALX Oncology Q2 net loss narrows on lower R&D costs

ALX Oncology Q2 net loss narrows on lower R&D costs


Overview

  • US cancer therapy developer's Q2 net loss narrowed yr/yr due to lower R&D expenses

  • Company refinanced debt, lowering cost of capital and enhancing financial flexibility


Outlook

  • ALX Oncology says cash reserves sufficient to fund operations through H1 2028


Result Drivers

  • LOWER R&D SPENDING - Co said Q2 R&D expenses fell due to reduced costs for legacy clinical trials, partially offset by continued investment in lead programs

  • LOWER LEGAL AND PATENT COSTS - Co said Q2 G&A expenses declined mainly due to lower corporate legal and patent costs

  • NO LEASE IMPAIRMENT CHARGE - Co said absence of prior-year lease impairment charge contributed to lower net loss


Company press release: ID:nGNX38vx6v


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Loss Per Share

$0.13

Q2 Net Loss

$17.97 mln

Q2 Income from Operations

-$18.03 mln

Q2 Loss Per Basic Share

$0.13

Q2 Operating Expenses

$18.03 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 6 "strong buy" or "buy", 1 "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 ALX Oncology Holdings Inc is $4.00, about 108.3% above its August 5 closing price of $1.92


Reuters Recommended Reads

  • Aug 5 - Black Diamond Therapeutics Q2 net loss narrows year over year

  • Aug 5 - Entrada Therapeutics Q2 net loss narrows on lower costs

  • Aug 5 - Coherus Oncology Q2 revenue rises 40% on higher LOQTORZI volume, but slightly falls below estimates


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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