Lai Sun Garment (International) Limited (LSIHF) Fair Value & Analysis
Industrials · US · Market cap $53.0M
Fair value as of: Jun 26, 2026
Analysis
Lai Sun Garment (International) Limited (LSIHF) currently trades at $0.0600, while our model-based Fair Value estimate is $0.0579 — implying the stock looks roughly 3.5% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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
Lai Sun Garment (International) Limited, an investment holding company, invests in and develops properties in Hong Kong, Mainland China, Macau, the United Kingdom, Vietnam, and internationally. It operates through Property Development and Sales, Property Investment, Hotel Operation, Restaurant and F&B Product Sales Operations, Media and Entertainment, Film and TV Program, Cinema Operation, Theme Park Operation, and Other segments. The Property Development and Sales segment develops and sells of properties. The Property Investment segment invests in commercial and office buildings. This segment also provides building management services. The Hotel Operation segment provides consultancy services to hotels and serviced apartments. The Restaurant and F&B Product Sales Operations segment operates restaurants, and sells food and beverage products. The Media and Entertainment segment engages in the management and production of concerts, and provision of related advertising services, artist…
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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.