Singapore's Mapletree Pan Asia Commercial Trust Q2 revenue falls  

Overview

• Singapore real estate trust's Q2 gross revenue fell 5% yr/yr amid softer overseas contributions

• Finance expenses for Q2 declined 10.1% yr/yr due to lower interest rates and debt reduction

• Distribution per unit for Q2 dropped 3.5% yr/yr as growth offset softer overseas performance

Outlook

• Mapletree Industrial Trust targets S$500 mln - S$600 mln of North American divestments

• MIT targets a 15% cut in average building electricity intensity by FY29/30

• IMF projects global growth of 3.1% in 2026 and 3.4% in 2027

Result Drivers

• SOFT OVERSEAS CONTRIBUTIONS - Lower overseas contributions, mainly due to non-renewal at Fujitsu Makuhari Building in Japan and challenging conditions in China and Hong Kong, weighed on Q2 results

• NORTH AMERICAN VACANCIES AND DIVESTMENT – Q2 net property income fell 3.5% as NA lease non-renewals, lost Singapore divestment income and JPY depreciation outweighed Singapore leasing gains

• JOINT-VENTURE DISTRIBUTION – Cash distribution from the joint venture rose 13.1% on utility credits and rental escalations, partly offset by higher swap-related interest costs

Company press release:

Key Details

Analyst Coverage

• The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 9 "strong buy" or "buy", 6 "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 Mapletree Pan Asia Commercial Trust is S$1.45, about 28.3% above its October 29 closing price of S$1.13

• The stock recently traded at 15 times the next 12-month earnings vs. a P/E of 17 three months ago

Reuters Recommended Reads

• Oct 27 - Singapore's Mapletree Industrial Trust Q2 revenue falls 1.9% yr/yr

• Oct 28 - Canada's Primaris REIT Q3 rental revenue rises on strong leasing activity

• Oct 28 - Canada's Allied Properties REIT Q3 rental revenue falls on portfolio repositioning

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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.)