Specialty insurer Ategrity Specialty Q1 EPS beats estimates

Ategrity Specialty Insurance Holdings

29/04/2026 21:30

Overview

US specialty insurer's Q1 adjusted EPS and adjusted net income beat analyst expectations

Gross written premiums rose 23% yr/yr, driven by growth in casualty and property lines

Combined ratio improved to 87.4% from 90.9%, reflecting margin expansion and lower expenses

Outlook

Company did not provide specific guidance for future quarters or the full year

Result Drivers

GROWTH INITIATIVES - Co said gross written premiums rose 23.1% yr/yr due to execution of growth initiatives and increased engagement across its distribution network

CASUALTY AND PROPERTY EXPANSION - Gross written premiums for casualty lines increased 27.4% yr/yr, reflecting strategic focus on broadening casualty-related products, while property lines grew 12.6% yr/yr in areas with limited catastrophe exposure

OPERATING LEVERAGE - Combined ratio improved to 87.4% from 90.9%, driven by improvement in loss and expense ratios, with expense ratio benefits from operating expense leverage, lower acquisition costs, and scale efficiencies

Company press release: ID:nBw36TTfja

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Gross Written Premiums
$142.93 mln
Q1 Adjusted EPS
Beat
$0.51
$0.41 (5 Analysts)
Q1 EPS
$0.51
Q1 Adjusted Net Income
Beat
$25.60 mln
$20.37 mln (4 Analysts)
Q1 Combined Ratio
87.40%


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 4 "strong buy" or "buy", 1 "hold" and no "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 Ategrity Specialty Insurance Company Holdings is $27.00, about 33.3% above its April 28 closing price of $20.26

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.)