Jiangxi Guotai Group (603977) Fair Value & Analysis
Basic Materials · CN · Market cap 8.1B CNY
Analysis
Jiangxi Guotai Group (603977) currently trades at ¥14.32, while our model-based Fair Value estimate is ¥6.90 — implying the stock looks roughly 51.8% overvalued today. We read business quality at 85/100 (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
Jiangxi Guotai Group Co.,Ltd. engages in the civil explosives, military new materials, rail transit automation, and information technology businesses in China. The company offers industrial explosives, such as permitted emulsion explosives for grade III coal mines; no. 2 rock emulsion explosive; packaged emulsified granular ammonium oil explosives; and expanded ammonium nitrate explosive. It also provides detonating tube, industrial explosive cable, initiation busbar, electronic control module, electronic parallel pin wire, and basic detonator; and information technology products, such as Ganpo party building, Jiangxi State-owned assets safety supervision platform, mobile e-site, grassroots governance, smart factories, Gan Shutong industrial internet platform, digital surveying and mapping virtual simulation system, intelligent power supply safety management system, power supply operation safety management system, auxiliary monitoring system for railway traction substations, intelli…
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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.