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Xiangtan Electrochemical Scientific Co (002125) Fair Value & Analysis

Basic Materials · CN · Market cap 12.9B CNY

Price¥18.45
Fair Value¥5.40
Upside-70.7%
Quality94/100
Evidence: High Range ¥3.45 – ¥6.97

Analysis

Xiangtan Electrochemical Scientific Co (002125) currently trades at ¥18.45, while our model-based Fair Value estimate is ¥5.40 — implying the stock looks roughly 70.7% 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: high).

About the company

Xiangtan Electrochemical Scientific Co.,Ltd engages in the research and development, production, and sale of battery materials. The company offers C-Zn battery grade, mercury-free alkaline manganese, primary lithium manganese, material level for lithium manganese oxide, and high-performance batteries; and new energy battery materials, such as lithium manganate, manganese tetroxide, and manganese sulfate. It also engages in urban sewage and industrial wastewater treatment, sludge treatment, and application and development of utility technology activities, as well as provides related technical services. In addition, the company trades in ferromanganese alloys, electrolytic manganese metal, primary and secondary battery materials, manganese dioxide, manganese tetroxide, catalyst, discharge manganese, manganese carbonate ore, oxidized manganese ore, fund tray trading, etc. It also exports its products to various countries, including America, Japan, the European Union, and Southeast Asia…

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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.