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Shonghoya Intl Group (SNHO) Fair Value & Analysis

Financial Services · US · Market cap $12.0M

Price$0.1416
Fair Value$0.0300
Upside-78.8%
Quality95/100
Evidence: Medium Range $0.0200 – $0.0500

Fair value as of: Jun 26, 2026

Analysis

Shonghoya Intl Group (SNHO) currently trades at $0.1416, while our model-based Fair Value estimate is $0.0300 — implying the stock looks roughly 78.8% 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: medium).

About the company

Shonghoya Intl Group Inc., a development stage company, focuses on operating as an Internet-based social media company. It intends to market coupons to local merchants for the daily deals in tier 2 markets. The company was formerly known as Deal A Day Group Corp. and changed its name to Shonghoya Intl Group Inc. in June 2020. Shonghoya Intl Group Inc. is based in New Taipei City, Taiwan.

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Frequently asked questions

Is Shonghoya Intl Group (SNHO) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0300 versus a price of $0.1416 — about −79% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SNHO?
Our 21-model fair value for Shonghoya Intl Group is $0.0300 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1416.
What is the quality score of SNHO?
Shonghoya Intl Group has a Quality Score of 95/100, 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.