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ZAL — Zalando SE News Story

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Germany's Zalando 2025 revenue slightly beats on acquisition boost

Overview

Germany fashion e-commerce firm's 2025 revenue rose 17%, slightly beating analyst expectations

Adjusted EBIT climbed 16% to 591 mln EUR, driven by ABOUT YOU acquisition and AI initiatives

Company announced up to 300 mln EUR share buyback, citing strong cash flow and outlook

Outlook

Zalando expects 2026 GMV and revenue growth of 12% to 17%

Company projects 2026 adjusted EBIT between 660 mln and 740 mln EUR

Zalando announces share buy-back programme of up to 300 mln EUR

Result Drivers

AI INNOVATIONS - AI-driven improvements boosted marketing efficiency, logistics precision, and customer engagement, according to management

ABOUT YOU ACQUISITION - Integration of ABOUT YOU contributed to revenue and profit growth, with synergies targeted to be realized ahead of schedule

B2C AND B2B EXPANSION - Multi-app B2C strategy and B2B software/logistics growth drove increases in active customers, engagement, and segment profits

Company press release: ID:nEQ2H0SKZa

Key Details

MetricBeat/MissActualConsensus Estimate
FY RevenueSlight Beat*EUR 12.35 blnEUR 12.34 bln (29 Analysts)
FY Net IncomeEUR 212.70 mln
FY Adjusted EBITEUR 590.70 mln
FY Adjusted EBIT Margin4.80%
FY GMVEUR 17.56 bln
*Applies to a deviation of less than 1%; not applicable for per-share numbers. Analyst Coverage The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 23 "strong buy" or "buy", 5 "hold" and 1 "sell" or "strong sell" The average consensus recommendation for the online services peer group is "buy" Wall Street's median 12-month price target for Zalando SE is €36.00, about 79% above its March 11 closing price of €20.11 The stock recently traded at 14 times the next 12-month earnings vs. a P/E of 16 three months ago 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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