Fairvalue-Calculator Fairvalue-Calculator
EN DE

Fujian Star-net Communication Co (002396) Fair Value & Analysis

Technology · CN · Market cap 14.5B CNY

Price¥20.02
Fair Value¥19.58
Upside-2.2%
Quality80/100
Evidence: Medium Range ¥14.15 – ¥25.01

Analysis

Fujian Star-net Communication Co (002396) currently trades at ¥20.02, while our model-based Fair Value estimate is ¥19.58 — implying the stock looks roughly 2.2% overvalued today. We read business quality at 80/100 (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: medium).

About the company

Fujian Star-net Communication Co., LTD. engages in the provision of ICT infrastructure and AI application solutions in China. The company offers communication infrastructure; and network infrastructure solutions, such as network equipment, network security, and cloud desktop solutions. It also provides AI application solutions, including IT solutions, such as desktop cloud terminals, thin clients, domestically developed IT systems, domestically developed cloud services, financial services, and digital payments; media, cloud technology, mobile internet, artificial intelligence, 5G, and AI; smart space; smart video network; smart manufacturing; and smart retail solutions. The company was founded in 1996 and is headquartered in Fuzhou, China.

Open the full interactive analysis →

Similar stocks

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.