Jiangxi Hengda Hi-Tech Co (002591) Fair Value & Analysis
Basic Materials · CN · Market cap 2.2B CNY
Fair value as of: Jun 25, 2026
Analysis
Jiangxi Hengda Hi-Tech Co (002591) currently trades at ¥6.95, while our model-based Fair Value estimate is ¥6.33 — implying the stock looks roughly 8.9% overvalued today. We read business quality at 94/100 (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
Jiangxi Hengda Hi-Tech Co.,Ltd. engages in the research, development, production, and sale of anti-wear and anti-corrosion materials for industrial equipment in China. It provides wear and corrosion protection services, including protective materials, design solutions, and engineering technical services. The company also offers acoustic products, such as noise reduction, sound absorption, and sound insulation; and is involved in architectural acoustics, vibration damping, and desulfurization and dust removal projects, as well as provision of design, construction, equipment manufacturing, installation, commissioning, and after-sales services. In addition, it engages in the provision of preventative protection and remanufacturing services for incinerator tube banks and related components; and professional SMS communication services to logistics, e-commerce, and chain supermarket industries. Further, the company is involved in the construction of photovoltaic new energy power stations;…
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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.