UK's Restore 2025 revenue rises 27% on acquisitions, announces £20 mln share buyback

Restore

12/03/2026 07:11

Overview

UK secure business services firm's 2025 revenue rose 27%, driven mainly by acquisitions

Adjusted basic EPS increased 23%, with organic growth described as broadly flat

Company announced £20 mln share buyback and expects FY26 profit slightly ahead of expectations

Outlook

Restore expects FY26 adjusted profit before tax to be slightly ahead of market consensus of £46.6m

Company expects Datashred division to achieve operating margins of 15% or more in 2026

Restore launches £20m share buyback programme over next 12 months

Result Drivers

ACQUISITIONS - Revenue growth and improved profits were primarily driven by the acquisition of Synertec and six bolt-on businesses

MARGIN IMPROVEMENT - Adjusted operating margin rose to 20.8% due to integration of digital and physical storage, property consolidation, and cost savings

DATASHRED PERFORMANCE - Datashred division saw higher revenue and profit from bolt-on acquisitions, operational efficiencies, and a hedging strategy against lower paper prices

Company press release: ID:nRSL3036Wa

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
FY Revenue
GBP 304.70 mln
FY Adjusted Pretax Profit
GBP 40.60 mln
FY Net Debt
GBP 123.80 mln
FY Pretax Profit
GBP 7.70 mln


Analyst Coverage

The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 8 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

The average consensus recommendation for the business support services peer group is "buy."

Wall Street's median 12-month price target for Restore PLC is GBp380.00, about 63.8% above its March 11 closing price of GBp232.00

The stock recently traded at 9 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 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.)