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Oshidori International Holdings (OSHDF) Fair Value & Analysis

Financial Services · US · Market cap $2.2B

Price$0.3100
Fair Value$0.0600
Upside-80.6%
Quality95/100
Evidence: High Range $0.0400 – $0.0700

Analysis

Oshidori International Holdings (OSHDF) currently trades at $0.3100, while our model-based Fair Value estimate is $0.0600 — implying the stock looks roughly 80.6% 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

Oshidori International Holdings Limited, an investment holding company, provides financial services in Hong Kong. It operates through Financial Services, Tactical and/or Strategical Investments, and Credit and Lending Services segments. The company engages in provision of securities brokerage, margin financing, placing and underwriting, investment advisory, asset management, advising on securities, futures contracts, and corporate finance advisory services, as well as engages in trading and investing securities. It also provides credit and lending services; invests in financial instruments; and holds yacht and motor vehicles. The company was formerly known as Enerchina Holdings Limited and changed its name to Oshidori International Holdings Limited in April 2019. Oshidori International Holdings Limited was incorporated in 1991 and is based in North Point, Hong Kong.

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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.