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IGD — Immobiliare Grande Distribuzione SIIQ SpA News Story

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Italy's IGD H1 FFO rises 21.7%; lifts 2026 outlook

Italy's IGD H1 FFO rises 21.7%; lifts 2026 outlook


Overview

  • Italy real estate operator's H1 FFO rises 21.7% yr/yr to EUR 24.1 mln

  • Company raised 2026 FFO guidance to at least EUR 46 mln, up 11.7% from 2025

  • FFO growth driven by higher net rental revenues and lower financial expenses


Outlook

  • IGD raises 2026 FFO guidance to at least €46 mln, up 11.7% vs FY 2025

  • Company expects continued growth in occupancy rates and tenant sales in shopping centres

  • IGD anticipates steady progress in asset disposals and portfolio value over medium term


Result Drivers

  • HIGHER RENTAL REVENUES - Co said increased net rental income was a main driver of H1 FFO growth

  • LOWER FINANCIAL EXPENSES - Co attributed FFO growth to reduced financing costs

  • OCCUPANCY AND RENTAL UPLIFT - Co reported higher occupancy rates and rental uplifts in shopping malls


Company press release: ID:nBIAbgyKFR


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

H1 FFO

EUR 24.1 mln


Analyst Coverage

  • The current average analyst rating on the shares is "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 commercial reits peer group is "buy"

  • Wall Street's median 12-month price target for Immobiliare Grande Distribuzione SIIQ SpA is €5.00, about 19.5% above its August 3 closing price of €4.19

  • The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 11 three months ago


Reuters Recommended Reads

  • Aug 4 - Germany's HAMBORNER REIT H1 rental income falls 1.3% on property disposals

  • Aug 3 - Vornado Realty Trust Q2 adjusted FFO per share rises on new rent commencements


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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