Inner Mongolia Berun Chemical Company (000683) Fair Value & Analysis
Basic Materials · CN · Market cap 25.8B CNY
Analysis
Inner Mongolia Berun Chemical Company (000683) currently trades at ¥6.53, while our model-based Fair Value estimate is ¥8.28 — implying the stock looks roughly 26.8% undervalued today. We read business quality at 77/100 (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
Inner Mongolia Berun Chemical Company Limited, together with its subsidiaries, produces and sells soda ash, baking soda, fertilizers, and other chemical products in China. It operates through Soda Ash; Fertilizer and Other Agricultural Production Materials; and Other segments. The company offers soda ash for use in glass applications, as well as for the metallurgy, chemical, light industry, daily chemical, and food industries; baking soda for use in food, feed, pharmaceuticals, daily chemical cleaning, environmental desulfurization, firefighting, printing and dyeing, rubber, leather, metallurgy, water treatment, and other applications; urea for use in agricultural fertilizers, melamine, urea-formaldehyde resin, adhesives, environmental denitrification, automobiles, feed, pharmaceuticals, printing and dyeing, leather, water treatment, and other applications; and sodium bicarbonate, coal-based urea, and alkali products. It also engages in water production and supply; ecological protec…
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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.