Luxin Venture Capital Group (600783) Fair Value & Analysis
Industrials · CN · Market cap 16.2B CNY
Analysis
Luxin Venture Capital Group (600783) currently trades at ¥21.39, while our model-based Fair Value estimate is ¥3.29 — implying the stock looks roughly 84.6% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Luxin Venture Capital Group Co., Ltd. operates as a subsidiary of Shandong Luxin Investment Holdings Group Co.,Ltd. It is a private equity and venture capital firm specializes in start-ups, growth capital, emerging industries, expansion stage, mature stage and pre-IPOs. For growth capital and emerging industries, the firm invests in companies with a potential for Small and Medium Enterprise board listing, with a minimum sales revenue of RMB 100 million (USD 15.72 million) for the past year, and with a minimum net profit of RMB 10 million (USD 1.57 million). For growth capital, the firm invests in companies with a potential for Growth Enterprise board listing, with a minimum sales revenue of RMB 30 million (USD 4.71 million) for the past year, and with a minimum net profit of RMB 3 million (USD 0.47 million). The firm prefers to invest in advanced manufacturing, semiconductors, modern agriculture, marine industries, new materials, new energy, energy conservation, environmental protec…
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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.