Cincinnati Financial Q2 adjusted EPS misses estimates on higher catastrophe losses 

Overview

• U.S. property and casualty insurer's Q2 revenue rose 32%, beating analyst expectations

• Adjusted EPS for Q2 missed analyst expectations, reflecting higher catastrophe losses

• Company cited elevated catastrophe losses, especially in Ohio, as impacting results

Outlook

• Company says further product and geographic diversification expected to help reduce catastrophe loss impact

• Cincinnati Financial says market competition remains elevated, requiring pricing discipline and careful underwriting

• Company plans to appoint new agencies in geographies with best prospects for profitable growth

Result Drivers

• INVESTMENT INCOME - Co said higher investment income was the main source of profits in Q2

• CATASTROPHE LOSSES - Elevated catastrophe losses, especially in Ohio, weighed on Q2 results

• MODEST PREMIUM GROWTH - Net written premiums rose 3% in Q2, driven by price increases and new agency appointments, but new business premiums declined

Company press release: ID:nPn26jFK5a

Key Details

Analyst Coverage

• The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 4 "strong buy" or "buy", 6 "hold" and no "sell" or "strong sell"

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

• Wall Street's median 12-month price target for Cincinnati Financial Corp is $193.50, about 5.8% above its July 24 closing price of $182.81

• The stock recently traded at 21 times the next 12-month earnings vs. a P/E of 18 three months ago

Reuters Recommended Reads

• July 27 - Why El Niño's promise of a quieter hurricane season may not guarantee good news for insurers

• July 24 - Selective CEO Marchioni: ‘No real explanation’ why GL pricing has not remained firm

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.)