Grand Baoxin Auto Group (GBXXY) Fair Value & Analysis
Consumer Cyclical · US · Market cap $26.2M
Fair value as of: Jul 29, 2026
From 15 valuation models · updated 12 days ago
Fair value updated Jul 29, 2026, revised from $0.0879 to $0.0866 (−1.4%) since Jun 26, 2026.
A solid business, currently priced close to our fair value.
What matters now
- The price sits close to our fair value, market and models broadly agree here, little valuation tension.
- Our model range runs from $0.0667 (bear) to $0.1064 (bull), base $0.0866. The closer the price sits to the lower half, the larger the margin of safety.
- Quality 52/100 (solid quality) with medium evidence: read the verdict with care.
Price vs Fair Value (4 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 29, 2026.
How to read this chart
47‑month range $0.0924 – $2.68 · fair‑value band $0.0667 – $0.1064 · the $0.0924 price screens above the $0.0866 fair value. Dashed = 300-day average. As of Jul 29, 2026.
Analysis
Grand Baoxin Auto Group (GBXXY) currently trades at $0.0924, while our model-based Fair Value estimate is $0.0866, implying the stock looks roughly 6.3% fairly valued today. The Quality Score stands at 52/100 (solid 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).
Over the trailing twelve months, Grand Baoxin Auto Group generated revenue of $28.9B at a net margin of -0.9%. Revenue declined 18.7% year over year. It earns a return on equity of -3.5%. Net debt stands at $10.1B. Fundamentals as of Jul 29, 2026
Our scenario range runs from $0.0667 (bear case) to $0.1064 (bull case); at $0.0924, the current price sits within that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades near its 52-week high, currently above its 200-day average. For context, the median of 10 Consumer Cyclical peers we cover trades at -14% fair-value upside, at -6%, GBXXY screens cheaper than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 15 models by family
Widest divergence: Asset-Based ($0.1628) versus Dividend Discount ($0.0003). Highest evidence: Residual Income (76).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 29, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 49 · Market factors (momentum, volatility) 56
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
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.
Full company description
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.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2019 – FY2023 · reported fiscal years
Grand Baoxin Auto Group reported revenue of $31.9B in FY2023 versus $36.5B in FY2019, a compound −3.3%/yr. Reported net income was $126M in FY2023, compounding −33.1%/yr from FY2019.
of which total revenue +3.1 pp · buybacks/dilution −1.2 pp
Absolute contributions in percentage points per year; they sum to the EPS growth rate. Start and end points are 3-year averages (details on hover).
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Peer Group
Auto & Truck Dealerships · 102 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Auto & Truck Dealerships stocks, each showing price versus our Fair Value estimate (as of Jul 29, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Carvana Co CVNA | $70.38 | $24.58 | -65% |
| Penske Automotive Group PAG | $202.66 | $241.86 | +19% |
| Hotai Motor Co 2207 | 476.50 TWD | 576.75 TWD | +21% |
| CarMax, Inc KMX | $58.47 | $29.62 | -49% |
| Lithia Motors, Inc LAD | $339.16 | $610.95 | +80% |
| AutoNation, Inc AN | $205.72 | $329.77 | +60% |
| Rush Enterprises, Inc RUSHA | $76.89 | $66.27 | -14% |
| Valvoline Inc VVV | $38.64 | $24.57 | -36% |
| OPENLANE, Inc OPLN | $39.46 | $33.81 | -14% |
| Eagers Automotive Limited APE | A$20.83 | A$17.66 | -15% |
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Frequently asked questions
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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.
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