Sunresin New Materials Co (300487) Fair Value & Analysis
Basic Materials · CN · Market cap 28.6B CNY
Analysis
Sunresin New Materials Co (300487) currently trades at ¥62.00, while our model-based Fair Value estimate is ¥26.80 — implying the stock looks roughly 56.8% 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: high).
About the company
Sunresin New Materials Co.,Ltd, together with its subsidiaries, engages in the research and development, production, and sales of adsorption and separation materials, in China and internationally. The company offers adsorbent, catalyst, chelating, ion exchange, mixed bed ion exchange, powder, strong acid cation exchange, strong base anion exchange, weak acid cation exchange, and weak base anion exchange resins; chromatographic media; enzyme carriers; solid phase peptide synthesis products; and exchange separation system devices. Its products are used in perfluoroalkyl and polyfluoroalkyl substances (PFAS) removal, bio-pharmaceutical and life science, chemical industry, drinking water treatment, food and beverage industries, hydrometallurgy and mining, direct lithium extraction, plant extraction, volatile organic compounds (VOCs) treatment, civil and industry water treatment, and wastewater treatment and reuse applications. The company was founded in 2001 and is headquartered in Xi'a…
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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.