Clene Q2 net loss widens on higher other expenses

Clene

14/08/2026 13:40

Overview
US biopharmaceutical firm's Q2 net loss widened yr/yr, driven by higher other expenses
Company closed $7 mln stock offering and extended debt maturities to August 2027
Clene plans NDA submission for CNM-Au8 in ALS under accelerated approval pathway in early Q4 2026

Outlook
Clene expects to submit NDA for CNM-Au8 in ALS in early Q4 2026
Company says cash resources expected to provide operating runway through late Q4 2026

Result Drivers
HIGHER OTHER EXPENSES - Co attributed increased net loss primarily to a rise in other expenses, including changes in fair value of warrant and derivative liabilities and higher interest expense
REGULATORY PREPARATION - Increased regulatory activities and NDA preparation contributed to higher expenses, partially offset by lower costs in some clinical programs
LOWER ADMINISTRATIVE COSTS - General and administrative expenses fell due to lower legal, finance and accounting fees, and increased grant revenue

Company press release: ID:nGNX6nxf2L

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Net Loss
 
$13.42 mln
 
Q2 Income From Operations
 
-$5.35 mln
 
Q2 Loss Per Basic Share
 
$1.08
 
Q2 Operating Expenses
 
$5.44 mln
 
Q2 Pretax Loss
 
$13.42 mln
 

Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 5 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"
Wall Street's median 12-month price target for Clene Inc is $30.00, about 616% above its August 13 closing price of $4.19

Reuters Recommended Reads
Aug 13 - Eledon Pharmaceuticals Q2 net loss widens on warrant liability changes
Aug 12 - AEON Biopharma Q2 net loss narrows on warrant gain; cash runway extended
Aug 12 - Unicycive Therapeutics Q2 net loss narrows on warrant liability change

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.)