Stewart Q3 revenue slightly beats estimates on higher agency title, acquisition
Overview
US real estate services firm's Q3 revenue rose 13% yr/yr, slightly beating analyst expectations
Adjusted EPS for Q3 declined yr/yr, reflecting increased industry headwinds and higher operating expenses
Company attributed higher operating expenses to acquisitions and increased service costs
Outlook
Company expects industry headwinds to persist into next year
Stewart says it remains focused on growing market share amid challenging market conditions
Result Drivers
AGENCY TITLE REVENUES - Co said Q3 title segment revenue growth was primarily driven by higher agency title revenues
MCS ACQUISITION - Co said real estate solutions segment revenue growth was mainly due to the recent MCS acquisition and higher credit information and valuation services revenues
HIGHER OPERATING EXPENSES - Co said operating expenses rose due to increased employee count from acquisitions and higher service costs
Company press release:
Key Details
Metric | Beat/Miss | Actual | Consensus Estimate |
Q3 Revenue | Slight Beat* | $900.70 mln | $894.90 mln (3 Analysts) |
Q3 Net Income | $30.30 mln |
*Applies to a deviation of less than 1%; not applicable for per-share numbers.
Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the property & casualty insurance peer group is "buy"
Wall Street's median 12-month price target for Stewart Information Services Corp is $75.00, about 43.1% above its October 20 closing price of $52.42
The stock recently traded at 8 times the next 12-month earnings vs. a P/E of 10 three months ago
Reuters Recommended Reads
Oct 20 - Agree Realty Q3 net income per share up 18.5%; raises FY26 AFFO guidance
Oct 21 - Getty Realty Q3 rental income rises 13.8% on acquisitions, lifts FY guidance
Oct 20 - US pending home sales tumble to record low in September
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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.)