Lizhong Sitong Light Alloys Group (300428) Fair Value & Analysis
Basic Materials · CN · Market cap 13.8B CNY
Analysis
Lizhong Sitong Light Alloys Group (300428) currently trades at ¥19.97, while our model-based Fair Value estimate is ¥22.05 — implying the stock looks roughly 10.4% undervalued today. We read business quality at 80/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Lizhong Sitong Light Alloys Group Co., Ltd., together with its subsidiaries, engages in the research, design, manufacture, and sale of functional master alloys, recycled cast aluminum alloy materials, and aluminum alloy wheel products. It operates through three segments: Aluminum-Based Functional Master Alloys, Recycled Cast Aluminum Alloys, And Aluminum Alloy Wheels. The company offers aluminum-based functional master alloys, aerospace special master alloys fluxes, and other master alloy products; casting aluminium alloy ingots and liquid, wrought aluminium alloys, national aluminium alloy standard samples, and new aluminium alloy materials; and aluminium alloy wheels, lightweight automotive components, and precision molds, as well as retails customized products. Its products are used in automobiles, high-speed rail, power and electric appliances, consumer electronics, communications, aerospace, high-end equipment, and ships. It operates in China, Europe, North America, South Ameri…
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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.