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Mercury General Corporation (MCY) Fair Value & Analysis

Financial Services · US · Market cap $5.4B

Price$106.99
Fair Value$127.00
Upside+18.7%
Quality95/100
Evidence: High Range $95.25 – $158.75

Analysis

Mercury General Corporation (MCY) currently trades at $106.99, while our model-based Fair Value estimate is $127.00 — implying the stock looks roughly 18.7% 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

Mercury General Corporation, together with its subsidiaries, engages in writing personal automobile insurance in the United States. It also writes homeowners, commercial automobile, commercial property, mechanical protection, and umbrella insurance products. The company's automobile insurance products include collision, property damage, bodily injury, comprehensive, personal injury protection, underinsured and uninsured motorist, and other hazards; and homeowners insurance products comprise dwelling, liability, personal property, and other coverages. It sells its policies through a network of independent agents and insurance agencies, as well as directly through internet sales portals in Arizona, California, Florida, Georgia, Illinois, Nevada, New Jersey, New York, Oklahoma, Texas, and Virginia. Mercury General Corporation was incorporated in 1961 and is headquartered in Los Angeles, California.

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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.