Henan Carve Electronics Technology Co (301182) Fair Value & Analysis
Industrials · CN · Market cap 8.9B CNY
Analysis
Henan Carve Electronics Technology Co (301182) currently trades at ¥96.98, while our model-based Fair Value estimate is ¥32.72 — implying the stock looks roughly 66.3% overvalued today. We read business quality at 93/100 (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: low).
About the company
Henan Carve Electronics Technology Co., Ltd., together with its subsidiaries, engages in the research and development, production, and sale of electronic precision cable connection components in China and internationally. The company offers computer and communication, automotive and rail transit, industrial automation, and security monitoring wires and cables; and security network monitoring connectors, telecom equipment, router connectors, servo motors, and sensor connectors. It also provides security internet solutions, such as front-end interconnections, storage interconnections, industrial interconnection, security consumption, and test verification; and automotive electronics comprising high and low voltage wiring harnesses, battery packs, energy storage products, soft and hard copper, and aluminum busbars. The company's products are used in security monitoring, communications, consumer electronics, automotive electronics, rail transit, industrial automation, new energy, and ot…
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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.