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SUI — Sun Communities News Story

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Sun Communities Q3 core FFO per share rises driven by manufactured houses strength

Sun Communities Q3 core FFO per share rises driven by manufactured houses strength


Overview

  • US manufactured housing and RV REIT's Q3 core FFO per share rose to $2.35 from $2.28

  • Same property NOI grew 3.6% for the quarter

  • Company completed UK business sale, receiving $1.03 bln, and repurchased $293 mln in shares


Outlook

  • Company expects 2026 Core FFO per share of $6.97 to $7.05

  • Company expects 2026 North America same property NOI growth of 4.9% to 5.3%

  • Company expects 2027 rental rate increases of 5.4% for MH and 4.4% for annual RV


Result Drivers

  • MANUFACTURED HOUSING - CEO said continued strength in manufactured housing drove results

  • SAME PROPERTY NOI - Co said same property NOI grew 3.6% for the quarter

  • UK BUSINESS SALE - Co said sale proceeds were used mainly for share repurchases and balance sheet activity


Company press release: ID:nGNE5KdlYk


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Core FFO Per Share

$2.35


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 13 "strong buy" or "buy", 5 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the residential reits peer group is "buy"

  • Wall Street's median 12-month price target for Sun Communities Inc is $137.00, about 13.9% above its October 23 closing price of $120.24

  • The stock recently traded at 45 times the next 12-month earnings vs. a P/E of 46 three months ago


Reuters Recommended Reads

  • Oct 26 - Easterly Government Properties Q3 Core FFO tops estimates

  • Oct 23 - First Capital Q3 net interest income rises on higher yields, asset balances


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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