CBRE Group tops Q3 core profit expectations
Overview
Commercial real estate services firm's Q3 revenue rose 13% but missed analyst expectations
Core EPS for Q3 increased 28% and beat analyst expectations
Company repurchased nearly $1.2 bln in shares year-to-date
Outlook
Company did not provide specific financial guidance for the current qtr or full yr
Result Drivers
INFRASTRUCTURE SERVICES - Revenue from critical infrastructure services surged 80%, driven by strong growth in data center services and contributions from Pearce Services acquisition
PROPERTY SALES - Global property sales revenue rose 28%, with U.S. sales up 37% due to accelerated growth in industrial and retail sectors
REAL ESTATE DEVELOPMENT - Operating profit in real estate development rose significantly, reflecting strong data center land sale activity and monetization of other assets
Company press release:
Key Details
Metric | Beat/Miss | Actual | Consensus Estimate |
Q3 Revenue | Miss | $11.52 bln | $11.77 bln (4 Analysts) |
Q3 Core EPS | Beat | $2.05 | $1.97 (11 Analysts) |
Q3 EPS | $1.52 |
Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 13 "strong buy" or "buy", 1 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the real estate services peer group is "buy"
Wall Street's median 12-month price target for CBRE Group, Inc. is $181.50, about 34.8% above its October 21 closing price of $134.65
The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 16 three months ago
Reuters Recommended Reads
Oct 20 - AI data center projects boost US warehouse demand and rents, real estate company JLL says
Oct 20 - At least 17 data center campuses proposed on US public lands, group says
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.)