Longhorn Auto Co (301488) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 14.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Longhorn Auto Co (301488) currently trades at ¥135.42, while our model-based Fair Value estimate is ¥18.40 — implying the stock looks roughly 86.4% overvalued today. We read business quality at 90/100 (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
Longhorn Auto Co., Ltd. engages in the research and development, design, manufacture, and sale of automotive intelligent driving perception systems in China and internationally. The company engages in development and sales of automotive electronic products and related software and systems; technology development and sales of reversing radar, tire pressure gauges, molds, HUD, portable TVs, electronic rearview mirror systems, electronic stability systems, in-vehicle multimedia, and collision avoidance radar; provision of automotive system design and technical services; technology development, and sales of bluetooth products, black boxes, GPS navigation systems, and in-vehicle entertainment system; power supplies, inverters, 360-degree surround view and active safety driving systems, and automatic parking systems; import and export of goods and technology; and manufacturing and sales of intelligent in-vehicle equipment. It is also involved in manufacturing of automotive parts and acces…
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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.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.