France's EDAP TMS Q4 revenue beats on HIFU segment strength

Reuters
Mar 25
France's EDAP TMS Q4 revenue beats on HIFU segment strength

Overview

  • France robotic therapies maker's Q4 revenue beat analyst expectations, driven by HIFU segment growth

  • Company-wide Q4 revenue fell 7% yr/yr as non-core business revenue declined

  • Company reiterated 2026 revenue guidance, expects HIFU revenue to grow 34%-45% yr/yr

Outlook

  • EDAP reiterates 2026 revenue guidance of $72.0 mln to $80.0 mln

  • Company expects 2026 HIFU revenue between $50.0 mln and $54.0 mln, up 34%-45% YoY

  • EDAP says demand for Focal One systems remains strong across academic and community centers

Result Drivers

  • HIFU SYSTEM SALES - Q4 HIFU revenue rose 34% yr/yr, driven by record Focal One system placements and strong demand in academic and community hospitals, per CEO Ryan Rhodes

  • PROCEDURE GROWTH - U.S. Focal One procedure volume grew 28% yr/yr, supporting higher disposables revenue

  • GROSS MARGIN PRESSURE - Gross margin declined due to tariffs on imports from France and an inventory reserve for legacy parts

Company press release: ID:nGNE1rGnn4

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

EUR 18.94 mln

EUR 18.36 mln (3 Analysts)

Q4 Net Income

-EUR 8.19 mln

Q4 Basic EPS

-EUR 0.22

Q4 Gross Profit

EUR 8.06 mln

Q4 Operating Expenses

-EUR 13.23 mln

Q4 Operating Income

-EUR 5.16 mln

Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 1 "strong buy" or "buy", 2 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the advanced medical equipment & technology peer group is "buy."

  • Wall Street's median 12-month price target for Edap Tms SA is $4.00, about 2.3% above its March 24 closing price of $3.91

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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