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Horizon Kinetics Holding (HKHC) Fair Value & Analysis

Financial Services · US · Market cap $522M

Price$28.25
Fair Value$4.47
Upside-84.2%
Quality80/100
Evidence: Medium Range $3.36 – $5.59

Analysis

Horizon Kinetics Holding (HKHC) currently trades at $28.25, while our model-based Fair Value estimate is $4.47 — implying the stock looks roughly 84.2% overvalued today. We read business quality at 80/100 (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: medium).

About the company

Horizon Kinetics Holding Corporation is an employee owned investment manager. The firm primarily provides its services to high net worth individuals. It also caters to individuals, investment companies, pension and profit sharing plans, pooled investment vehicles, charitable organizations, and corporations. The firm manages separate client-focused equity and fixed income portfolios. It also manages equity mutual fund for its clients. The firm invests in the public equity, fixed income, and alternative markets across the globe. It typically invests in value stocks of small cap and large cap companies. The firm employs a fundamental analysis to create its portfolios. It conducts in-house research to make its investments. Horizon Kinetics Holding Corporation was founded in 1994 and is based in New York City with additional offices in Charlotte, North Carolina; Summit, New Jersey and White Plains, New York.

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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.