Austria's CPI Europe H1 profit falls due to lower revaluation results

CPI Europe AG

28/08/2026 17:11

Overview
Austria real estate firm's H1 rental income rose 3.8% yr/yr 
H1 EBIT fell 17.7% and net profit dropped 25%, mainly due to lower revaluation results
Company continued portfolio optimisation, selling non-core assets and investing in standing properties

Outlook
CPI Europe to focus on core business and further optimise its real estate portfolio
Company to actively develop Czech residential portfolio and expand retail parks
CPI Europe evaluating combining retail properties with S IMMO and CPI Property Group under one holding

Result Drivers
RENTAL INCOME GROWTH - Co said rental income increased due to acquisition of CPI BYTY residential portfolio and higher like-for-like rents
PORTFOLIO OPTIMISATION - Co continued to sell non-core assets and invest in standing properties as part of strategic portfolio adjustment
DERIVATIVES VALUATION - Co said improved financial results were mainly due to positive valuation effects from interest rate derivatives

Company press release: ID:nEQ4L3NF3a

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
H1 Rental Income
 
EUR 291.40 mln
 
H1 Net Income
 
EUR 158.30 mln
 
H1 EBIT
 
EUR 267.20 mln
 

Analyst Coverage
The current average analyst rating on the shares is "hold" and the breakdown of recommendations is no "strong buy" or "buy", 2 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the real estate rental, development & operations peer group is "buy."
Wall Street's median 12-month price target for CPI Europe AG is €16.75, about 8.6% above its August 27 closing price of €15.42
The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 8 three months ago

Reuters Recommended Reads
Aug 26 - Austria's CA Immobilien H1 gross rental income falls 16% after property sales
Aug 26 - Aroundtown's profit more than halves on falling German property prices
Aug 26 - VIB Vermögen H1 rental income falls, guidance confirmed

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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.)