China Tungsten And Hightech Materials Co (000657) Fair Value & Analysis
Basic Materials · CN · Market cap 160B CNY
Analysis
China Tungsten And Hightech Materials Co (000657) currently trades at ¥108.33, while our model-based Fair Value estimate is ¥10.89 — implying the stock looks roughly 89.9% overvalued today. We read business quality at 89/100 (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: medium).
About the company
China Tungsten And Hightech Materials Co.,Ltd researches, develops, produces, sells, and trades in nonferrous metals in China and internationally. The company's products include cutting tools and instruments, including solid cutting tools, CNC cutting tools, cutting CNC and traditional blades, and it tools; other cemented carbides, including bars, mining alloys, rolls, top hammers, special-shaped parts, precision parts, traditional alloys, drilling tools, and finished tools; refractory metals, such as tungsten-molybdenum products, tantalum-niobium products, hard facing materials, cast tungsten carbide, thermal spray products, and tungsten wire. It also offers concentrates and powder products, including tungsten, fluorite, molybdenum, and bismuth concentrate; tungsten carbide powder; blue and yellow tungsten; ammonium paratungstate; mixtures; and cobalt powder, as well as trade and equipment business. The company's products are used in traditional industrial fields, such as automobil…
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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.