Personalis Q3 revenue beat on increased test volume; suspends forecast on pending Tempus AI merger

By Reuters News


Overview

  • Precision oncology genomics firm's Q3 revenue rose yr/yr, beating analyst expectations

  • Revenue growth driven by higher clinical test volume and increased pharma testing services

  • Company will not provide financial guidance due to pending Tempus AI merger


Outlook

  • Personalis will no longer provide financial guidance due to pending merger with Tempus AI


Result Drivers

  • CLINICAL TEST VOLUME - Co said clinical revenue growth was driven by increased test volume and expanded Medicare coverage

  • PHARMA SERVICES & POPULATION SEQUENCING - Co attributed revenue gains to higher pharma testing services and increased population sequencing

  • PRODUCT LAUNCH - Co launched Real-Time Variant Tracker as supplemental offering to NeXT Personal MRD test


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$25.60 mln

$21.85 mln (6 Analysts)

Q3 Net Loss

$33.80 mln

Q3 Income From Operations

-$35.52 mln

Q3 Loss Per Basic Share

$0.32

Q3 Pretax Loss

$33.80 mln


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 1 "strong buy" or "buy", 4 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the healthcare facilities & services peer group is "buy."

  • Wall Street's median 12-month price target for Personalis, Inc. is $16.25, about 3.2% above its November 3 closing price of $15.75


Reuters Recommended Reads

  • Nov 2 - Tempus AI Q3 revenue slightly beats estimates; raises guidance

  • Nov 2 - Neurocrine Biosciences Q3 revenue jumps 41% on strong INGREZZA, CRENESSITY, VYKAT XR demand

  • Nov 3 - Amgen Q3 revenue beats expectations on higher volumes


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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