Silkroad Visual Technology Co (300556) Fair Value & Analysis
Communication Services · CN · Market cap 2.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Silkroad Visual Technology Co (300556) currently trades at ¥20.17, while our model-based Fair Value estimate is ¥15.33 — implying the stock looks roughly 24.0% overvalued today. We read business quality at 94/100 (high quality), in the Communication Services 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
Silkroad Visual Technology Co., Ltd. operates as a digital vision services business in China and internationally. The company engages in digital exhibition and display; digital content application; smart city, digital twin, AR/VR/MR interactive digital content solution business, and cloud rendering business. It also provides process service and solutions for digital creative design, content production, and visual presentation. It offers its products and services to urban planning halls, theme exhibition halls, museums, corporate image promotion, large-scale celebrations, urban city image display, design visualization, high-end real estate marketing, digital twin, smart city, virtual simulation, digital cultural tourism, and other fields, as well as VR+K12 standardization test, vocational education, intelligent manufacturing, and smart park applications. Silkroad Visual Technology Co., Ltd. was founded in 2000 and is based in Shenzhen, China.
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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.