Community Health Systems Q3 revenue misses estimates

By Reuters News


Overview

  • U.S. hospital operator's Q3 revenue fell 10.7% yr/yr, missing analyst expectations

  • Adjusted EBITDA for Q3 declined and missed analyst consensus

  • Company cites divestitures, payor mix and higher specialist fees as reasons for weaker results


Outlook

  • Company expects challenging macro environment to weigh on results for remainder of 2026

  • Company cites unfavorable payor mix and acuity as factors expected to impact future results


Result Drivers

  • DIVESTITURES - Co said divestitures contributed to lower revenue and Adjusted EBITDA in Q3

  • PAYOR MIX - Co cited an unfavorable change in payor mix as a factor weighing on Q3 results

  • HIGHER SPECIALIST FEES - Co said higher medical specialist fees and supplemental reimbursement program expense negatively affected Q3 results


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Miss

$2.76 bln

$2.80 bln (8 Analysts)

Q3 Adjusted EBITDA

Miss

$280 mln

$319.30 mln (9 Analysts)


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 2 "strong buy" or "buy", 5 "hold" and 3 "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 Community Health Systems Inc is $3.00, about 5.6% above its October 27 closing price of $2.84


Reuters Recommended Reads

  • Oct 27 - Universal Health warns of possible impact to annual results from Medicaid changes; Q3 revenue slightly beats

  • Oct 27 - HCA Healthcare Q3 revenue rises on admissions, emergency room visits growth

  • Oct 27 - Centene Q3 revenue tops estimates on Medicare growth


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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