Germany's Mutares Q1 revenue rises on acquisitions

Mutares SE & Co KgaA

12/05/2026 06:40

Overview

Germany private equity holding's Q1 group revenue rose 10% yr/yr, driven by acquisitions

Q1 adjusted EBITDA improved to EUR 11.1 mln, reflecting impact of new acquisitions and restructuring

Company reaffirmed 2026 forecast, expects group revenue to rise and holding net income to increase

Outlook

Mutares expects 2026 group revenues between EUR 7.9 bln and EUR 9.1 bln

Company reaffirms 2026 net income forecast of EUR 165 mln to EUR 200 mln

Mutares targets annual revenue and net income growth of at least 25% through 2030

Result Drivers

ACQUISITIONS - Revenue growth and improved adjusted EBITDA were mainly driven by significant acquisition activity, including Kawneer, F.lli Ferrari, and Holliday Pigments

RESTRUCTURING PROGRESS - Positive restructuring and development at Magirus, Sofinter, Efacec, Donges, SFC Solutions, NEM Energy, and Guascor Energy supported results

SEGMENT MIX - Segment performance was mixed, with Automotive & Mobility and Energy & Technology benefiting from acquisitions and organic growth, while Goods & Services was negatively impacted by declining profitability at Stuart and Lapeyre and negative earnings from recent acquisitions

Company press release: ID:nEQ1zDGbxa

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Net Income
EUR 18.90 mln
Q1 EBIT
EUR 62.80 mln
Q1 EBITDA
EUR 159.40 mln


Analyst Coverage

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

The average consensus recommendation for the investment management & fund operators peer group is "buy."

Wall Street's median 12-month price target for Mutares SE & Co KgaA is €46.56, about 77.4% above its May 11 closing price of €26.25

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.)