Silvery Dragon Group (603969) Fair Value & Analysis
Basic Materials · CN · Market cap 6.7B CNY
Analysis
Silvery Dragon Group (603969) currently trades at ¥7.37, while our model-based Fair Value estimate is ¥5.28 — implying the stock looks roughly 28.4% overvalued today. We read business quality at 94/100 (high quality), in the Basic Materials 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
Silvery Dragon Group Co., Ltd. Tianjin, together with its subsidiaries, researches, develops, manufactures and sells prestressed steel products in China and internationally. The company offers prestressed materials comprising galvanized (aluminum) wires for bridge cables, PC strands for wind power concrete towers, prestressed galvanized (aluminum) strands for photovoltaic, unbonded galvanized strands for hydropower, strands for nuclear power plant safety shells and low temperature LNG/LPG, prestressing systems of high-speed railway track slabs, PC wires for railway sleepers and PCCP pipelines, and PC bars for t-shaped continuous beams. It also provides prestressed concrete products for track slabs; new energy materials products, such as prestressed flexible large-span suspension photovoltaic support systems, flexible photovoltaic support prestressed anchors, and flexible photovoltaic bracket side slopes; automation equipment; and precision steel molds for track slabs, sleepers, and …
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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.