Kinsale Capital Q2 gross written premiums fall 5% on commercial property competition

Kinsale Capital

23/07/2026 21:25

    

    Overview
  
US specialty insurer's Q2 net income and diluted EPS rose sharply yr/yr
Gross written premiums fell 5% on competition in Commercial Property Division
Company authorized additional $250 mln share repurchase

    

    Outlook
  
Company did not provide specific financial guidance for upcoming quarters or the full year

    

    Result Drivers
  
COMMERCIAL PROPERTY COMPETITION - Gross written premiums fell 5% primarily due to heightened competition in the Commercial Property Division, where premiums declined 32.7%
UNDERWRITING INCOME - Increase in underwriting income was largely due to growth in net earned premiums and higher favorable development of loss reserves from prior accident years, offset in part by lower ceding commissions
INVESTMENT INCOME - Net investment income rose 19.9% due to growth in the investment portfolio from strong operating cash flows

    
Company press release: ID:nBw486H1pa

    

    Key Details
  

            Metric
          

            Beat/Miss
          

            Actual
          

            Consensus Estimate
          
Q2 EPS
 
$7.72
 

    

    Analyst Coverage
  
The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 1 "strong buy" or "buy", 10 "hold" and 2 "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 Kinsale Capital Group Inc is $345.00, about 5.9% above its July 22 closing price of $325.64
The stock recently traded at 15 times the next 12-month earnings vs. a P/E of 16 three months ago

    

    Reuters Recommended Reads
  
July 20 - W. R. Berkley second-quarter profit rises on strong underwriting
July 21 - Chubb Q2 adjusted EPS beats estimates on underwriting discipline
July 22 - RenaissanceRe Q2 operating income up driven by strong underwriting

    
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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.)