((This story was generated using AI and automation, please see
disclaimer https://bit.ly/rtrsnai))
Overview
* UK property services platform's preliminary 2025 revenue up 6%, slightly missed analyst expectations
* Underlying operating profit rose 17% with record 18% margin
* Company launched new £12 mln share buyback on Jan 27
Outlook
* LSL expects a further increase in profits in 2026
* Company says trading in 2026 is in line with expectations
* LSL sees no adverse impact from macroeconomic uncertainty on recent trading
Result Drivers
* SURVEYING & VALUATION GROWTH - Revenue in Surveying & Valuation Division rose 10% due to higher job volumes and increased income per job
* COST DISCIPLINE - Central costs reduced by 8% as company focused on tighter cost control and more normalised spend
* TECHNOLOGY & DIGITAL INVESTMENT - Adoption of technology and digital solutions supported productivity and expanded service offerings
Company press release: ID:nRSS2956Xa
Key Details
Metric Beat/Mis Actual Consensu
s s
Estimate
FY Slight GBP GBP
Revenue Miss* 182.90 184.73
mln mln (4
Analysts
)
FY Slight GBP GBP
Adjusted Miss* 32.60 32.62
Operatin mln mln (2
g Profit Analysts
)
FY 18.00%
Adjusted
Operatin
g Margin
FY Basic GBP 0.17
EPS
FY GBP
Operatin 22.60
g Profit mln
FY GBP
Pretax 23.10
Profit 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 "strong buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "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 LSL Property Services PLC is GBp370.50, about 61.1% above its March 18 closing price of GBp230.00
* The stock recently traded at 8 times the next 12-month earnings vs. a P/E of 9 three months ago
For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact .
(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.)