Molina Healthcare Q3 premium revenue declines on lower Medicaid, Marketplace membership

By Reuters News


Overview

  • US managed healthcare firm's Q3 premium revenue fell 4% yr/yr on lower Medicaid and Marketplace membership

  • Adjusted EPS for Q3 beat analyst expectations

  • Company reaffirmed full-year 2026 premium revenue and adjusted EPS guidance


Outlook

  • Molina reaffirms 2026 premium revenue guidance at about $42 bln

  • Company expects 2026 adj EPS of at least $5.25, GAAP EPS of at least $2.38

  • 2026 earnings guidance includes $1.50/share loss from Florida Medicaid contract and $1.00/share loss from MAPD product


Result Drivers

  • MEMBERSHIP DECLINE - Co said lower Medicaid and Marketplace membership drove decrease in premium revenue

  • HIGHER MEDICAL COST RATIO - Co attributed lower net income to higher consolidated medical care ratio

  • RATE UPDATES AND COST TRENDS - Co said Medicaid MCR reflected rate updates and stable medical cost trend


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Premium Revenue

$10.46 bln

Q3 Adjusted EPS

Beat

$0.89

$0.74 (17 Analysts)

Q3 EPS

$0.73


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 4 "strong buy" or "buy", 16 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the managed healthcare peer group is "buy."

  • Wall Street's median 12-month price target for Molina Healthcare Inc is $209.00, about 4.9% below its October 20 closing price of $219.72

  • The stock recently traded at 25 times the next 12-month earnings vs. a P/E of 32 three months ago


Reuters Recommended Reads

  • Oct 21 - Elevance Health Q3 adjusted EPS beats estimates, raises outlook

  • Oct 20 - Synchrony Financial's Q3 net earnings fall 17%


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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