Organon Q4 sales, profit miss estimates on women's health, respiratory products decline

Reuters
02/12
Organon Q4 sales, profit miss estimates on women's health, respiratory products decline

Overview

  • Healthcare firm's Q4 revenue fell 5%, missing analyst expectations

  • Adjusted EPS for Q4 missed analyst expectations, declining 30% yr/yr

  • Company reported a net loss of $205 mln due to goodwill impairment

Outlook

  • Organon expects full-year 2026 revenue of approximately $6.2 bln

  • Company anticipates 2026 Adjusted EBITDA of approximately $1.9 bln

  • Organon sees flat constant currency revenue growth for 2026

Result Drivers

  • WOMEN'S HEALTH DECLINE - Revenue fell 15% due to changes in U.S. wholesaler practices, access restrictions, and increased rebates

  • BIOSIMILARS GROWTH - Revenue rose 11% driven by Hadlima and new product contributions

  • ESTABLISHED BRANDS PRESSURE - Revenue declined 2% due to pricing pressure and volume declines in respiratory products

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Miss

$1.51 bln

$1.54 bln (5 Analysts)

Q4 Adjusted EPS

Miss

$0.63

$0.73 (7 Analysts)

Q4 EPS

-$0.79

Q4 Adjusted Net Income

Miss

$165 mln

$192.63 mln (5 Analysts)

Q4 Net Income

-$205 mln

Q4 Gross Margin

49.20%

Q4 Adjusted EBITDA Margin

25.40%

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 4 "sell" or "strong sell"

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

  • Wall Street's median 12-month price target for Organon & Co is $9.00, about 17% above its February 11 closing price of $7.69

  • The stock recently traded at 2 times the next 12-month earnings vs. a P/E of 2 three months ago

Press Release: ID:nBw7QXN1Ha

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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