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Hong Yuan Holding (HGYN) Fair Value & Analysis

Industrials · US · Market cap $2.6M

Price$0.0267
Fair Value$0.0276
Upside+3.3%
Quality80/100
Evidence: Medium Range $0.0249 – $0.0276

Fair value as of: Jun 26, 2026

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Analysis

Hong Yuan Holding (HGYN) currently trades at $0.0267, while our model-based Fair Value estimate is $0.0276 — implying the stock looks roughly 3.3% undervalued today. We read business quality at 80/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

Hong Yuan Holding Group does not have significant operations. previously, the company was engaged in the development and commercialization of bio-based resins. The company was formerly known as Cereplast, Inc. and changed its name to Hong Yuan Holding Group in June 2021. Hong Yuan Holding Group was incorporated in 2001 and is based in Zhengzhou, China.

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Frequently asked questions

Is Hong Yuan Holding (HGYN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0276 versus a price of $0.0267 — about +3% (undervalued). Model-based estimate, not financial advice.
What is the fair value of HGYN?
Our 21-model fair value for Hong Yuan Holding is $0.0276 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0267.
What is the quality score of HGYN?
Hong Yuan Holding has a Quality Score of 80/100, 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.