Guangdong Hongda Holdings (002683) Fair Value & Analysis
Basic Materials · CN · Market cap 23.2B CNY
Fair value as of: Jun 25, 2026
Analysis
Guangdong Hongda Holdings (002683) currently trades at ¥30.21, while our model-based Fair Value estimate is ¥23.87 — implying the stock looks roughly 21.0% overvalued today. We read business quality at 80/100 (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
Guangdong Hongda Holdings Group Co., Ltd., together with its subsidiaries, provides mining and civil explosives services in China and internationally. The company operates through three segments: Mining Engineering Services; Production and Sales of Civil Explosives; and Defense Equipment. It engages in large and medium-sized open-pit mines, underground mines, and integrated mining operations, including geological exploration, scheme design and optimization, mine construction, mining, beneficiation, environmental remediation, and overall mine operation and management; and offers value-added services, such as mixed explosives, new energy equipment, mining development consulting, and investment and financing scheme design and optimization. The company is also involved in the research, development, production, and sale of fixed-wire and mixed explosives, as well as detonating devices; defense equipment comprising traditional ammunition, weaponry, aerospace components, and HMX products; …
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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.