Kinsale Capital Group (KNSL) Fair Value & Analysis
Financial Services · US · Market cap $6.9B
Analysis
Kinsale Capital Group (KNSL) currently trades at $310.39, while our model-based Fair Value estimate is $283.88 — implying the stock looks roughly 8.5% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Kinsale Capital Group, Inc. engages in the provision of property and casualty insurance products in the United States. The company's commercial lines offerings include commercial property, excess casualty, general casualty, small business casualty, construction, allied health, small business property, products liability, entertainment, commercial auto, energy, excess professional, life sciences, inland marine, professional liability, environmental, health care, management liability, public entity, agribusiness casualty and property, aviation, ocean marine, and product recall insurance. Its personal lines offerings also include high value homeowners and personal insurance products. The company sells its insurance products in all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, and the U.S. Virgin Islands primarily through a network of independent insurance brokers. Kinsale Capital Group, Inc. was founded in 2009 and is headquartered in Richmond, Virginia.
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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.