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Levima Advanced Materials Corporation (003022) Fair Value & Analysis

Basic Materials · CN · Market cap 37.5B CNY

Price¥28.70
Fair Value¥3.89
Upside-86.4%
Quality89/100
Evidence: Medium Range ¥2.92 – ¥3.96

Analysis

Levima Advanced Materials Corporation (003022) currently trades at ¥28.70, while our model-based Fair Value estimate is ¥3.89 — implying the stock looks roughly 86.4% 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

Levima Advanced Materials Corporation researches, develops, produces, and sells advanced polymer materials and specialty chemicals in China and internationally. The company offers EVA products for agricultural film, foam, cable, hot melt adhesive, coating, PV, etc.; homopolymer and copolymer for household daily transparent plastic moulding products, medical packaging products, etc.; polycarboxylate water reducer; nonionic surfactant for textile, daily chemical, leather, metal processing, and lotion and painting; and ultra-high molecular weight polyethylene for use in applications, such as lithium-ion battery separators, ropes, cables, bulletproof vests, cut-resistant gloves, sports. It also provides pre-sales, technical support, logistics, and after-sales services. The company was founded in 2009 and is based in Tengzhou, China. Levima Advanced Materials Corporation operates as a subsidiary of Levima Group Co., Ltd.

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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.