Zacks Investment Research
28 May 2026, 15:50 UTC · 3h ago
Source · https://www.zacks.com/stock/news/2928352/w-r-berkley-stock-lost-10-9-in-a-year-should-you-buy-the-dip?cid=CS-STOCKNEWSAPI-FT-analyst_blog|rank_focused-2928352
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Story key points
4 claims · impact-rated
W.R. Berkley's 2026 earnings per share are projected to increase by 7.9% year-over-year. — Positive earnings growth forecasts typically support share price appreciation.
+0.40W.R. Berkley maintains a trailing 12-month return on equity of 18.9%, significantly outperforming the industry average of 7.4%. — Strong relative efficiency in capital utilization indicates a competitive operational advantage.
+0.30W.R. Berkley shares have declined 10.9% over the past year, underperforming the industry's 4.6% decline. — Consistent underperformance relative to peers suggests negative momentum or specific company headwinds.
-0.20W.R. Berkley's price-to-book value of 2.49X is higher than the industry average of 1.4X. — A high premium relative to industry peers may indicate the stock is overvalued.
Ticker attribution
Model heads
The company's shares have lost 34.5% over the past year.
The company's shares have lost 31.8% over the past year.
The company's shares have lost 3% over the past year.
Despite strong ROE and underwriting, the stock has lost 10.9% in a year due to slowing premium growth and pricing pressure.
[mutual] The article groups these companies as insurers facing similar industry conditions and competitive pricing pressure.
[mutual] The article groups these companies as insurers facing similar industry conditions and competitive pricing pressure.
[mutual] The article groups these companies as insurers facing similar industry conditions and competitive pricing pressure.
[mutual] The article groups these companies as insurers facing similar industry conditions and competitive pricing pressure.
[mutual] The article groups these companies as insurers facing similar industry conditions and competitive pricing pressure.
[mutual] The article groups these companies as insurers facing similar industry conditions and competitive pricing pressure.
Impact vectors
2 dimensions · 9 clusters
Market reaction
0 bid · 10 offered
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