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AMTD Digital Inc (HKD) Fair Value & Analysis

Technology · US · Market cap $534M

Price$1.67
Fair Value$0.6100
Upside-63.5%
Quality80/100
Evidence: Medium Range $0.3600 – $1.34

Analysis

AMTD Digital Inc (HKD) currently trades at $1.67, while our model-based Fair Value estimate is $0.6100 — implying the stock looks roughly 63.5% overvalued today. We read business quality at 80/100 (high quality), in the Technology 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

AMTD Digital Inc., through its subsidiaries, provides digital solutions; media and entertainment services; and hotel operations, hospitality, and very important person (VIP) services in China, Hong Kong, Europe, the Americas and Southeast Asia. The company offers cross-market and intelligent digital solutions services for retail and corporate clients; and insurance brokerage services. It also provides fashion, arts, and luxury media advertising and marketing services; print and digital advertising campaigns and marketing services; and sells printed and digital publications, as well as operates in the movie production sector. In addition, the company offers customer-centric VIP services, such as hotels and serviced apartments, food and beverages, and club membership services. Further, it holds whole building properties. Digital Inc. was incorporated in 2019 and is headquartered in Paris, France.

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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.