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JBIO — Jade Biosciences News Story

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Jade Biosciences Q2 net loss widens as costs rise

Jade Biosciences Q2 net loss widens as costs rise


Overview

  • US biotech firm's Q2 net loss widened, missing analyst expectations

  • Net loss increased due to higher R&D and G&A expenses

  • Cash and investments rose to $461 mln after $172.5 mln public offering


Outlook

  • Company expects interim Phase 2 data for JADE101 in IgA nephropathy in 2027

  • Phase 3 JADE101 registrational trial expected to begin in first half of 2027

  • Company expects cash runway to extend into the fourth quarter of 2028


Result Drivers

  • HIGHER R&D SPENDING - Co said increased R&D expenses were due to higher costs for chemistry, manufacturing, controls, clinical activity, milestone payments, and personnel, including stock-based compensation

  • HIGHER G&A COSTS - Co attributed higher G&A expenses to increased personnel-related costs and stock-based compensation


Company press release: ID:nGNX8jXxMZ


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Net Loss

Miss

$55.80 mln

$42.11 mln (9 Analysts)

Q2 Cash & Investments

$461.20 mln


Analyst Coverage

  • The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 11 "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 Jade Biosciences Inc is $45.00, about 104.9% above its August 7 closing price of $21.96


Reuters Recommended Reads

  • Aug 7 - ANI Pharmaceuticals Q2 adjusted EPS beats on increased volume in specialty areas

  • Aug 7 - Rapid Micro Biosystems Q2 revenue beats; reaffirms 2026 revenue forecast

  • Aug 7 - bioAffinity Technologies Q2 revenue rises on CyPath Lung demand


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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