The Hanover Insurance Group (THG) Fair Value & Analysis
Financial Services · US · Market cap $6.5B
Analysis
The Hanover Insurance Group (THG) currently trades at $210.40, while our model-based Fair Value estimate is $246.16 — implying the stock looks roughly 17.0% 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
The Hanover Insurance Group, Inc., through its subsidiaries, provides various property and casualty insurance products and services for individuals and businesses in the United States. It operates in four segments: Core Commercial, Specialty, Personal Lines, and Other. The company offers commercial multiple peril, commercial automobile, workers' compensation, and other core commercial coverage; and professional and executive lines, marine, and surety and other, as well as specialty property and casualty products comprising Hanover program business, excess and surplus business, Hanover specialty industrial, and specialty general liability business coverage. It also provides personal automobile; and homeowners and other personal lines, including residences and personal property, liability claims, personal umbrella, inland marine, fire, personal watercraft, personal cyber, and other miscellaneous coverages. In addition, the company offers insurance products for collector cars, motorcyc…
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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.