Guangzhou Automobile Group (GNZUY) Fair Value & Analysis
Consumer Cyclical · US · Market cap $2.9B
Guangzhou Automobile Group
GNZUY · US
Fair value as of: Jul 16, 2026
From 1 valuation models · updated yesterday
Share price −5.7% over the past month.
Price vs Fair Value (12 months)
12‑month range $2.83 – $4.51 · fair‑value band $2.99 – $5.66 · the $2.83 price screens below the $4.53 fair value. As of Jul 16, 2026.
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Guangzhou Automobile Group (GNZUY) currently trades at $2.83, while our model-based Fair Value estimate is $4.53, implying the stock looks roughly 60.0% undervalued today. We read business quality at 35/100 (below-average 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.
Over the trailing twelve months, Guangzhou Automobile Group generated revenue of $96.9B at a net margin of -9.0%. Revenue grew 1.8% year over year. It earns a return on equity of -10.1%. Fundamentals as of Jul 16, 2026
Our scenario range runs from $2.99 (bear case) to $5.66 (bull case); at $2.83, the current price sits below that range. The share trades about 37% below its 52-week high, currently below its 200-day average. For context, the median of 10 Consumer Cyclical peers we cover trades at 7% fair-value upside, at 60%, GNZUY screens cheaper than that median.
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 16, 2026. TTM = trailing twelve months.
About the company
Guangzhou Automobile Group Co., Ltd., together with its subsidiaries, research, develops, manufactures, and sells vehicles and motorcycles, and parts and components in Mainland China and internationally. It operates through Vehicles and Related Operations; and Others segments. The company produces and sells passenger vehicles comprising sedans, SUVs, and MPVs; commercial vehicles consisting of fuel-powered and new energy heavy-duty trucks, new energy light-duty trucks, new energy buses, and pickup trucks; automotive parts, such as engines, gearboxes, car seats, micro motors, shifters, power batteries, battery cells and electric drives and controllers, and interior and exterior decorations; and motorcycles, including sport bikes, scooters, and electric bicycles and motorcycles. It also offers logistics, second-hand vehicle, supporting, and mobility transportation services. In addition, the company provides automobile credit, insurance brokerage, financial investment, finance lease, …
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Guangzhou Automobile Group reported revenue of $96.5B in FY2025 versus $75.7B in FY2021, a compound +6.3%/yr. Reported net income was −$8.8B in FY2025.
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Similar stocks
10 more Auto Manufacturers stocks, each showing price versus our Fair Value estimate (as of Jul 16, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Mahindra & Mahindra Limited MHID | $31.10 | $36.77 | +18% |
| Toyota Motor Corporation TM | $169.73 | $201.26 | +19% |
| VOW3 VOW3 | €87.66 | €93.91 | +7% |
| BYD Company 81211 | HK$67.90 | HK$42.60 | -37% |
| Tesla, Inc TSLA | 39,580 ARS | 22,068 ARS | -44% |
| Hyundai Motor Company 005380 | 511,000 KRW | 793,325 KRW | +55% |
| General Motors Company GMCO34 | R$104.20 | R$16.45 | -84% |
| Ford Motor Company FMC1 | €12.56 | €16.17 | +29% |
| Ferrari N.V 2FE | €295.15 | €114.02 | -61% |
| Bayerische Motoren Werke Aktiengesellschaft BMWM5N | 1,909 MXN | 237.56 MXN | -88% |
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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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Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.