White Mountains Insurance's Q3 book value per share falls 1%

By Reuters News


Overview

  • Insurance holding firm's Q3 book value per share fell 1% from prior quarter

  • Company posted net loss attributable to shareholders, reversing year-ago profit

  • Unrealized investment losses from MediaAlpha and higher rates weighed on quarterly results


Outlook

  • Company says Ark has ongoing exposure to the war in Iran in specialty and marine lines

  • Company does not expect significant losses from Hurricane Isaias

  • Company notes continued headwinds in the property insurance market


Result Drivers

  • INVESTMENT LOSSES - Higher interest rates and a decline in MediaAlpha's share price led to unrealized investment losses, offsetting operating gains

  • ARK PERFORMANCE - Ark's underwriting results and premium growth contributed positively to tangible book value

  • KUDU PORTFOLIO IMPACT - Higher interest rates reduced the fair value of Kudu's portfolio, lowering return on equity


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Loss Per Share

$17.71


Analyst Coverage

  • The one available analyst rating on the shares is "hold"

  • The average consensus recommendation for the property & casualty insurance peer group is "buy."

  • Wall Street's median 12-month price target for White Mountains Insurance Group, Ltd. is $342.95, about 85.6% below its November 4 closing price of $2,376.30

  • The stock recently traded at 19 times the next 12-month earnings vs. a P/E of 16 three months ago


Reuters Recommended Reads

  • Nov 2 - Greenlight Capital Re Q3 net income returns to profit as premiums slip

  • Nov 4 - Palomar Q3 net income beat estimates as premiums rise 28%

  • Nov 4 - Allstate Q3 net income falls due to higher catastrophe losses, absence of prior-year sale gain


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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