Zhang Xiaoquan Inc (301055) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 6.3B CNY
Analysis
Zhang Xiaoquan Inc (301055) currently trades at ¥40.19, while our model-based Fair Value estimate is ¥8.23 — implying the stock looks roughly 79.5% overvalued today. We read business quality at 92/100 (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: high).
About the company
Zhang Xiaoquan Inc., together with its subsidiaries, engages in the research, design, development, production, sale, and service of knives and scissors, kitchen hardware, and home hardware products in China and internationally. The company offers kitchen, household, office, travel, clothing, yarn, and tubing scissors; slicing, small kitchen, boning, and fruit knives; fine iron and non-stick pans, stainless steel pots, cutting boards, chopsticks, knife sharpeners, spatulas, vegetable cutters, kitchen tools, smart sterilization knives, and chopstick holders; and nail clippers and scissors, manicure sets, pedicure tools, grooming and hairdressing tools, pruning shears, hedge trimmers, household gardening tools, and household hardware tool sets. It also operates retail stores. The company offers its products under the Zhang Xiaoquan brand. Its products are sold through online e-commerce platforms, offline distribution wholesale, retail stores, and foreign trade. Zhang Xiaoquan Inc. was …
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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.