Brandywine Realty Trust Q3 net loss narrows on higher property sales

By Reuters News


Overview

  • U.S. office REIT reported Q3 net loss narrowed to $22.3 mln from $26.2 mln yr ago, driven by an impairment charge

  • Core FFO for Q3 fell to $24.5 mln, or $0.14 per share, from $28.0 mln yr ago

  • Company repurchased 4.7 mln shares for $14.9 mln during the quarter


Outlook

  • Brandywine Realty Trust narrows 2026 Core FFO guidance to $0.54-$0.56 per diluted share

  • Company lowers 2026 loss per share guidance to $0.64-$0.62 from prior $0.45-$0.41

  • Company expects year-end core occupancy of 89-90% and core leased range of 90-91% in 2026


Result Drivers

  • PROPERTY SALES - Co said higher-than-planned property sales, including Solaris in Austin, contributed to results

  • DEBT REDUCTION - Co reduced debt by $390 mln, mainly through bond repurchases

  • SHARE REPURCHASES - Co repurchased 4.7 mln shares, resulting in lower dividend payments


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Loss Per Share

$0.13

Q3 Net loss Available to Common Shareholders

$ 22.3 mln


Analyst Coverage

  • The current average analyst rating on the shares is "sell" and the breakdown of recommendations is no "strong buy" or "buy", 3 "hold" and 2 "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 Brandywine Realty Trust is $3.00, about 11.9% above its October 20 closing price of $2.68


Reuters Recommended Reads

  • Oct 20 - Agree Realty Q3 net income per share up 18.5%; raises FY26 AFFO guidance

  • Oct 21 - Essential Properties Q3 AFFO per share rises, lifts 2026 outlook

  • Oct 21 - EastGroup Properties Q3 FFO per share rises 7.9% on rent increase


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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