Huisen Shares Group (HHIGF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $76.6M
Fair value as of: Jun 26, 2026
Analysis
Huisen Shares Group (HHIGF) currently trades at $0.0200, while our model-based Fair Value estimate is $0.0207 — implying the stock looks roughly 3.4% undervalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical 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: low) — always confirm before acting.
About the company
Huisen Shares Group Limited designs, manufactures, develops, and sells furniture products in the United States, the People's Republic of China, Singapore, Malaysia, Vietnam, Canada, and internationally. The company offers panel-type furniture products, including television cabinets, bookshelves, shelves, desks, and coffee tables; upholstered furniture, such as sofas; and sports-type and customised furniture comprising table tennis and pool tables. It also provides smart furniture and information technology solution services. The company was formerly known as Huisen Household International Group Limited and changed its name to Huisen Shares Group Limited in April 2024. The company was founded in 2005 and is headquartered in Ganzhou, China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Huisen Shares Group (HHIGF) undervalued?
What is the fair value of HHIGF?
What is the quality score of HHIGF?
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.