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Shenzhen Sunline Tech Co (300348) Fair Value & Analysis

Technology · CN · Market cap 7.9B CNY

Price¥10.08
Fair Value¥1.59
Upside-84.2%
Quality95/100
Evidence: High Range ¥1.37 – ¥1.80

Analysis

Shenzhen Sunline Tech Co (300348) currently trades at ¥10.08, while our model-based Fair Value estimate is ¥1.59 — implying the stock looks roughly 84.2% 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 Sunline Tech Co., Ltd. provides IT solutions and services for commercial banks and financial institutions in China and internationally. It provides core products, including core, bank loan, smart deposit, and cash management business systems; and digital products, such as digital core systems, digital financial business platforms, business middle office centers, open platforms, digital loan business systems, and unified payment platforms. The company also offers big data products comprising data warehouse, financial data mart, risk data mart, and smart marketing center, and decision engine solutions, as well as external data management, tag management, data service, and indicator management platforms; and IT consulting and planning, test, training, IT operation and maintenance, and hardware installation services. Shenzhen Sunline Tech Co., Ltd. was founded in 2002 and is headquartered 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.