Shunya International Martech (Beijing) Co (300612) Fair Value & Analysis
Communication Services · CN · Market cap 2.2B CNY
Fair value as of: Jun 24, 2026
Analysis
Shunya International Martech (Beijing) Co (300612) currently trades at ¥12.14, while our model-based Fair Value estimate is ¥8.50 — implying the stock looks roughly 30.0% overvalued today. We read business quality at 93/100 (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
Shunya International Martech (Beijing) Co., Ltd., together with its subsidiaries, provides digital marketing services, digital advertising services, and data technology product services in China. The company offers brand strategy, big data analysis, content marketing, media placement, overseas marketing, full-staff marketing, KOX system operation, and other aspects of digital marketing services to the automotive, internet information technology and TI communications, finance, retail, manufacturing, fast-moving consumer goods, culture, energy, and other industries. It also provides digital advertising services, such as internet platform advertising media procurement, brand planning, effect optimization, short video creativity, content production, technical support, and other services under the Bytedance brand. In addition, the company offers data technology products, including SaaS products and operation services. Further, it engages in management and planning activities. The company…
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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.