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DSGN — Design Therapeutics News Story

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Design Therapeutics Q2 net loss narrower than expected

Design Therapeutics Q2 net loss narrower than expected


Overview

  • US biotech firm's Q2 net loss was lower than analyst expectations

  • Operating expenses for Q2 totaled $22.2 mln

  • Company ended Q2 with $207.4 mln in cash and securities


Outlook

  • Company expects to share 12-week RESTORE-FA trial data in Q1 2027

  • Design to provide update on RESTORE-FA registrational plans in Q4 2026

  • Company anticipates reporting DM1 and FECD trial data in 2027


Result Drivers

  • CLINICAL TRIAL PROGRESS - Co cited positive four-week data from RESTORE-FA trial in Friedreich ataxia and modifications to support next-stage development

  • PIPELINE ADVANCEMENT - Patient dosing began in Phase 1 trial of DT-818 for myotonic dystrophy type 1

  • PROGRAM DELAYS - FECD trial data now expected in 2027 due to supply delay of DT-168 eye droppers


Company press release: ID:nGNXbMBPbk


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Net Loss

Beat

$20.17 mln

$21.32 mln (7 Analysts)

Q2 Loss Per Basic Share

$0.32

Q2 Operating Expenses

$22.18 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "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 Design Therapeutics Inc is $21.00, about 72.4% above its July 31 closing price of $12.18


Reuters Recommended Reads

  • Aug 3 - TG Therapeutics Q2 product revenue rises 70% on BRIUMVI sales

  • Aug 3 - Krystal Biotech Q2 revenue rises on VYJUVEK strength

  • Aug 3 - Ocular Therapeutix Q2 product revenue flat, net loss widens on higher spending


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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