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NBB — Norman Broadbent News Story

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UK's Norman Broadbent posts H1 net loss amid tough market conditions

UK's Norman Broadbent posts H1 net loss amid tough market conditions


Overview

  • UK executive search firm's H1 revenue and net fee income declined from prior year record

  • Company posted a net loss for H1, reflecting weaker January and higher headcount investment

  • Net fee income recovered in Q2, with management expecting stronger H2 performance


Outlook

  • Company expects further headcount growth in the second half of 2026

  • Norman Broadbent anticipates improvement in underlying EBITDA in H2 2026

  • Company says robust pipeline and retainer income support confidence in strong H2 performance


Result Drivers

  • HEADCOUNT INVESTMENT - Co said increased headcount, including hires from Society acquisition, drove higher costs

  • PIPELINE REBUILD - Sequential NFI growth from Q1 to Q2 attributed to rebuilding pipeline after strong finish to 2025

  • MARKET CHALLENGES - Co said tough market conditions and UK political changes have elongated client hiring decisions


Company press release: ID:nRSO7123Ua


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

H1 Revenue

GBP 6.8 mln

H1 Pretax Loss

GBP 534,000


Analyst Coverage

  • The one available analyst rating on the shares is "strong buy"

  • The average consensus recommendation for the employment services peer group is "buy."

  • Wall Street's median 12-month price target for Norman Broadbent PLC is GBp345.00, about 53.3% above its September 14 closing price of GBp225.00

  • The stock recently traded at 37 times the next 12-month earnings vs. a P/E of 32 three months ago


Reuters Recommended Reads

  • Sept 14 - UK's Keystone Law interim revenue rises 22.5% yr/yr

  • Sept 14 - UK's GlobalData half-year revenue rises on acquisitions


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.)

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