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Grand Baoxin Auto Group (GBXXY) Fair Value & Analysis

Consumer Cyclical · US · Market cap $26.2M

Price$0.0924
Fair Value$0.0879
Upside-4.9%
Quality89/100
Evidence: Medium Range $0.0676 – $0.1081

Fair value as of: Jun 26, 2026

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Analysis

Grand Baoxin Auto Group (GBXXY) currently trades at $0.0924, while our model-based Fair Value estimate is $0.0879 — implying the stock looks roughly 4.9% overvalued today. We read business quality at 89/100 (high quality), in the Consumer Cyclical 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

Grand Baoxin Auto Group Limited, an investment holding company, engages in the sale and service of motor vehicles primarily in Mainland China. The company offers maintenance, repair, and after-sales services. It also engages in finance leasing related activities. In addition, the company is involved in automobile finance and insurance businesses. Grand Baoxin Auto Group Limited is headquartered in Shanghai, the People's Republic of China. The company is a subsidiary of China Grand Automotive Services Co. Limited.

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Frequently asked questions

Is Grand Baoxin Auto Group (GBXXY) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0879 versus a price of $0.0924 — about −5% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GBXXY?
Our 21-model fair value for Grand Baoxin Auto Group is $0.0879 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0924.
What is the quality score of GBXXY?
Grand Baoxin Auto Group has a Quality Score of 89/100, 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.