Hamilton Insurance Group (HG) Fair Value & Analysis
Financial Services · US · Market cap $2.9B
Analysis
Hamilton Insurance Group (HG) currently trades at $32.37, while our model-based Fair Value estimate is $64.74 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Hamilton Insurance Group, Ltd., through its subsidiaries, operates as specialty insurance and reinsurance company in Bermuda and internationally. It operates Hamilton Global Specialty, Hamilton Select, and Hamilton Re underwriting platforms. The company offers casualty reinsurance products, such as commercial auto, general liability, healthcare, multiline, personal motor, professional liability, umbrella and excess casualty, and worker's compensation and employer's liability reinsurance; property reinsurance and insurance; and specialty reinsurance solutions, including accident and health, aviation and space, crisis management, mortgage, financial risks, marine and energy, and multiline specialty. It also provides accident and health, cyber, energy, environmental, financial lines, fine art and specie, kidnap and ransom, mergers and acquisitions, marine and energy liability, political risk and violence, professional liability, property binders, property direct and facultative, profes…
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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.