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Grande Group (GRAN) Fair Value & Analysis

Financial Services · US · Market cap $39.4M

Price$1.31
Fair Value$0.1500
Upside-88.5%
Quality87/100
Evidence: Medium Range $0.1100 – $0.1900

Fair value as of: Jun 26, 2026

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Analysis

Grande Group (GRAN) currently trades at $1.31, while our model-based Fair Value estimate is $0.1500 — implying the stock looks roughly 88.5% overvalued today. We read business quality at 87/100 (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

Grande Group Limited, through its subsidiaries, provides corporate finance advisory services in Hong Kong, the People's Republic of China, and Singapore. It offers IPO sponsorship, takeovers code, and other regulatory compliance related services; referral, underwriting and placing services; and general advisory, independent financial, and compliance advisory services. The company was formerly known as Hero Intelligence Group Limited and changed its name to Grande Group Limited in May 2024. The company was incorporated in 2020 and is based in Admiralty, Hong Kong. Grande Group Limited operates as a subsidiary of Grande Holding Limited.

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Frequently asked questions

Is Grande Group (GRAN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.1500 versus a price of $1.31 — about −89% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GRAN?
Our 21-model fair value for Grande Group is $0.1500 (as of Jun 26, 2026), built from audited fundamentals. The current price is $1.31.
What is the quality score of GRAN?
Grande Group has a Quality Score of 87/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.