Savara Q2 loss widens as operating expenses rise

Savara Q2 loss widens as operating expenses rise


Overview

  • US rare respiratory drug developer's Q2 net loss widened from prior year

  • Operating expenses rose, driven by higher personnel costs and commercial launch preparations

  • Company ended Q2 with $173 mln in cash and short-term investments


Outlook

  • Savara expects FDA decision on MOLBREEVI by Nov. 22, 2026

  • Company anticipates EMA and MHRA regulatory decisions in Q1 2027 and Q4 2026

  • Savara says focus is on potential U.S. launch of MOLBREEVI, supported by current cash position


Result Drivers

  • PERSONNEL COSTS - Co said higher personnel costs, mainly from increased stock-based compensation and headcount, drove up R&D and G&A expenses

  • COMMERCIAL PREPARATIONS - Co cited higher spending on commercial activities and infrastructure to support planned MOLBREEVI launch


Company press release: ID:nBwL1xRga


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Loss Per Share

$0.16

Q2 Net Loss

$40.23 mln

Q2 Income from Operations

-$40.97 mln

Q2 Operating Expenses

$40.97 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 8 "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 Savara Inc. is $10.25, about 78.9% above its August 10 closing price of $5.73


Reuters Recommended Reads

  • Aug 11 - Protara Therapeutics Q2 net loss widens on higher expenses

  • Aug 11 - Neurogene Q2 adjusted loss per share misses estimates on employee costs

  • Aug 10 - Bristol Myers to build $2.3 billion manufacturing site in Houston


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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