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Shanghai Dragon Corporation (600630) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 3.8B CNY

Price¥9.14
Fair Value¥2.58
Upside-71.8%
Quality93/100
Evidence: High Range ¥2.00 – ¥3.16

Analysis

Shanghai Dragon Corporation (600630) currently trades at ¥9.14, while our model-based Fair Value estimate is ¥2.58 — implying the stock looks roughly 71.8% overvalued today. We read business quality at 93/100 (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

Shanghai Dragon Corporation industry in China. It engages in the knitting, home textile, apparel, international trade, e-commerce, and brand management businesses. The company also offers knitted underwear, home series, operates in textile leisure series, underwear, bras, and socks; home textile products, including bed sheets, quilt covers, pillowcases, cushion covers, quilt cores, blankets, towels, etc.; apparel products, such as shirts, casual pants, t-shirts, sweaters, jackets, down jackets, coats, etc. It sells its products through self-operated specialty stores, department stores/supermarket counters, and other channels, as well as e-commerce channels, such as Tmall, JD.com, Vipshop, and Oriental shopping, as well as e-commerce channels, such as Douyin and Pinduoduo. Shanghai Dragon Corporation was founded in 1992 and is headquartered in Shanghai, China.

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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.