Germany's Ernst Russ 9-mth EBIT hit by fewer vessel sales, higher dry-docking costs, ups FY forecast
Overview
Germany shipowner's nine-month revenue was flat yr/yr as higher charter rates offset FX impact
EBIT and net income fell, mainly due to fewer vessel sales and higher dry-docking costs
Company raised full-year revenue and EBIT forecast, citing stronger US dollar and secured charters
Outlook
Ernst Russ raises 2026 revenue forecast to EUR 159-164 mln, up from EUR 150-160 mln
Company now expects 2026 EBIT of EUR 63-70 mln, up from EUR 55-65 mln
Outlook supported by strong charter backlog and high fleet availability
Result Drivers
HIGHER CHARTER RATES - Co said increased average charter rates offset weaker US dollar and smaller average fleet to keep revenue stable
LOWER VESSEL SALE GAINS AND DRY-DOCKING COSTS - EBIT decline mainly due to fewer gains from vessel sales and higher dry-docking costs from more scheduled dry-dockings
TIGHT VESSEL CAPACITY - Geopolitical tensions and port congestion kept vessel capacity tight and charter rates high, particularly in the container segment
Company press release:
Key Details
Metric | Beat/Miss | Actual | Consensus Estimate |
9M Revenue | EUR 118.80 mln | ||
9M Net Income | EUR 34.20 mln | ||
9M EBIT | EUR 47.90 mln |
Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 5 "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 Ernst Russ AG is €13.25, about 47.9% above its November 11 closing price of €8.96
The stock recently traded at 9 times the next 12-month earnings vs. a P/E of 9 three months ago
Reuters Recommended Reads
Nov 10 - Himalaya Shipping Q3 revenue rises on higher charter rates
Nov 9 - Global Ship Lease's Q3 revenue rises on higher charter rates, new vessels
Nov 11 - Hapag-Lloyd raises outlook for third time on strong freight rates
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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.)