Guangdong Kingstrong Technology Co (300629) Fair Value & Analysis
Industrials · CN · Market cap 5.4B CNY
Analysis
Guangdong Kingstrong Technology Co (300629) currently trades at ¥20.58, while our model-based Fair Value estimate is ¥6.81 — implying the stock looks roughly 66.9% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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
Guangdong Kingstrong Technology Co., Ltd. engages in the new materials and electronic business in China. It offers power amplifier and filter modules; launching components; power amplifiers; frequency hopping filter components; TR components; switch co-address filter components; and solid-state transmitter equipment. The company also provides thermal barrier coatings, carbon fiber products, wave absorbing materials, and photelectric products. In addition, it offers radio frequency microwave products and material products for special application fields, as well as provides filtering, receiving, frequency conversion and other related circuit modules; components; equipment; and systems. Its products are used in various applications, such as radar, monitoring, direction finding, communication, navigation, aerospace, shipbuilding, electronic countermeasures, and other industries. The company was formerly known as King-Strong New Material Technology Co., Ltd. and changed its name to Guang…
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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.