Sichuan Hongda Co (600331) Fair Value & Analysis
Basic Materials · CN · Market cap 34.8B CNY
Analysis
Sichuan Hongda Co (600331) currently trades at ¥13.06, while our model-based Fair Value estimate is ¥3.58 — implying the stock looks roughly 72.6% overvalued today. We read business quality at 95/100 (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: low).
About the company
Sichuan Hongda Co.,Ltd., together with its subsidiaries, engages in the non-ferrous metal zinc smelting and phosphorous chemical businesses in China. The company operates through Chemical Industry, Non-Ferrous Metals Industry, and Others segments. The company offers zinc ingots, hot-dip galvanized and cast zinc alloys, and zinc oxide under the Cishan brand; and rare metals, such as molybdenum, indium, and germanium. It also provides agricultural and industrial-grade monoammonium phosphate under the Yunding brand; compound fertilizers; diammonium phosphate; water-soluble fertilizer containing macro-elements; biological organic fertilizers; phosphogypsum products, including phosphorus chemical by-products; building plaster and gypsum products; and phosphoric and industrial sulfuric acid. In addition, the company offers synthetic and liquid ammonia. Further, it is involved in trade, investment, metallurgy, hotels, and engineering design activities. Sichuan Hongda Co.,Ltd was founded in…
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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.