Shenzhen KTC Technology Co (001308) Fair Value & Analysis
Technology · CN · Market cap 14.0B CNY
Fair value as of: Jun 25, 2026
Analysis
Shenzhen KTC Technology Co (001308) currently trades at ¥20.87, while our model-based Fair Value estimate is ¥11.23 — implying the stock looks roughly 46.2% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Shenzhen KTC Technology Co., Ltd. engages in the research, development, manufacturing, sale, and service of audio-visual and related products in China. It offers TV, frame and floating TV, and single-sided screen; commercial display products, such as interactive flat panel, signage monitor, professional display equipment, LCD video wall, and digital signage; medical display, including solutions and modules; and smart mirror products. The company also provides mobile smart display products comprising mobile smart screen, mobile smart TV, live broadcaster, and projector; portable screen, PAD, and electronic class signage products; smart display tablets; and smart accessory products consisting of smart stylus, mirror screen device, smart conference combiner, drive-free infrared touch frame, and adapter. In addition, it offers industrial high-brightness modules products; and Panelnet and KShare application software products. Shenzhen KTC Technology Co., Ltd. was founded in 1995 and is h…
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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.