AmTrust Financial Services, Inc (AFSIB) Fair Value & Analysis
Financial Services · US · Market cap $2.8B
Fair value as of: Jun 25, 2026
Analysis
AmTrust Financial Services, Inc (AFSIB) currently trades at $14.00, while our model-based Fair Value estimate is $21.08 — implying the stock looks roughly 50.6% undervalued today. We read business quality at 88/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
AmTrust Financial Services, Inc. operates as a specialty property and casualty insurance provider, offering insurance protection, warranty programs, risk management, and related services. The company provides insurance products and services including general liability, product liability, commercial property and casualty insurance, workers' compensation, surety bond products, legal expense coverage, and commercial auto insurance for sectors such as taxi fleets. Specialized insurance solutions are available for executives, professionals, and financial institutions through divisions such as AmTrust Exec, AmTrust Pro, and AmTrust FI. The company delivers warranty programs, risk management services, and title and escrow services for residential customers, agents, and lenders. It works with agents and wholesale brokers to customize insurance packages and supports risk funding arrangements and program business clients through underwriting subsidiaries. The company serves clients including …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.