Germany's GESCO H1 revenue rises, confirms FY view
Germany's GESCO H1 revenue rises, confirms FY view
Overview
Germany industrial group reported half-year revenue up 4.8% yr/yr to EUR 249 mln
EBIT for the half-year rose 52.9% yr/yr, reflecting improved margins and cost sensitivity
Company confirmed full-year 2026 guidance for revenue and earnings growth
Outlook
Gesco confirms 2026 revenue forecast of €515–530 mln
Company maintains 2026 group earnings after minority interest forecast at €15–20 mln
Gesco says strong order momentum and improved margins support outlook despite macroeconomic challenges
Result Drivers
ORDER MOMENTUM - Group order intake rose 13.2% yr/yr, supporting revenue growth and a solid book-to-bill ratio
COST DISCIPLINE - Margin improvement driven by lower cost of materials ratio, reduced other operating expenses and increased cost sensitivity
DIVERSIFIED PORTFOLIO - Broad positioning and high diversification across industries helped offset challenges in individual end markets
Company press release: ID:nEQ2RXKVSa
Key Details
Metric | Beat/Miss | Actual | Consensus Estimate |
H1 Sales |
| EUR 248.69 mln |
|
H1 EPS |
| EUR 0.75 |
|
H1 EBIT |
| EUR 12.69 mln |
|
H1 EBITDA |
| EUR 21.82 mln |
|
H1 Orders |
| EUR 272 mln |
|
H1 Pretax Profit |
| EUR 11.4 mln |
|
Analyst Coverage
The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 6 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"
The average consensus recommendation for the industrial machinery & equipment peer group is "buy."
Wall Street's median 12-month price target for Gesco SE is €22.00, about 59.4% above its August 11 closing price of €13.80
The stock recently traded at 7 times the next 12-month earnings vs. a P/E of 8 three months ago
Reuters Recommended Reads
Aug 10 - Germany's GEA Group Q2 revenue rises, lifts revenue growth outlook
Aug 11 - Germany's Norma Group Q2 adjusted EBIT more than triples
Aug 11 - Germany's Salzgitter H1 sales dip; profit lifted by Aurubis stake
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(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.)