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Liaoning Kelong Fine Chemical,Inc. (300405) Fair Value & Analysis

Basic Materials · CN · Market cap 1.7B CNY

Price¥5.78
Fair Value¥4.09
Upside-29.2%
Quality93/100
Evidence: Low Range ¥3.07 – ¥5.12

Fair value as of: Jun 24, 2026

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Analysis

Liaoning Kelong Fine Chemical,Inc. (300405) currently trades at ¥5.78, while our model-based Fair Value estimate is ¥4.09 — implying the stock looks roughly 29.2% overvalued today. We read business quality at 93/100 (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

Liaoning Kelong Fine Chemical,Inc. manufactures and sells building materials additives, chemical products, and surfactants worldwide. It polycarboxylic acid water reducing agent polyether monomer, polycarboxylic acid water reducing agent, polycarboxylic acid water reducing agent powder, ethylene glycol phenyl ether series products, hydroxy acrylate, ethylene carbonate, ultraviolet light, graphene zinc powder coating, and surfactant. The company was founded in 2002 and is based in Liaoyang, China.

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Frequently asked questions

Is Liaoning Kelong Fine Chemical,Inc. (300405) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥4.09 versus a price of ¥5.78 — about −29% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 300405?
Our 21-model fair value for Liaoning Kelong Fine Chemical,Inc. is ¥4.09 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥5.78.
What is the quality score of 300405?
Liaoning Kelong Fine Chemical,Inc. has a Quality Score of 93/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.