China National Gold Group (600916) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 13.0B CNY
Analysis
China National Gold Group (600916) currently trades at ¥7.65, while our model-based Fair Value estimate is ¥3.61 — implying the stock looks roughly 52.8% overvalued today. We read business quality at 94/100 (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
China National Gold Group Gold Jewellery Co.,Ltd. engages in the research and development, processing, wholesale, and retail of gold, silver, jewelry, and mold products in China and internationally. It offers gold products, including gold bars, jewelry, and other gold products; K gold jewelry products comprising jewelry made of K gold, platinum, silver, etc., as well as inlaid jewelry products, such as diamonds, pearls, jade, colored gemstones, etc. The company also provides gold watches, K gold watches, platinum watches, precious metals Inlaid watches, and metal smart electronic wearable devices; metal commemorative coins and seals; outer packaging and recycling of old gold and silver materials. In addition, it is involved in the road transportation of general goods, precious metal warehousing, and logistics services, as well as exhibition services; and wholesale and retail of office supplies, gifts, and handicrafts. The company sells its products through directly operated and fran…
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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.