Fairvalue-Calculator Fairvalue-Calculator
EN DE

NET263 Ltd (002467) Fair Value & Analysis

Communication Services · CN · Market cap 7.4B CNY

Price¥5.23
Fair Value¥0.5900
Upside-88.7%
Quality90/100
Evidence: Medium Range ¥0.5600 – ¥0.6200

Analysis

NET263 Ltd (002467) currently trades at ¥5.23, while our model-based Fair Value estimate is ¥0.5900 — implying the stock looks roughly 88.7% overvalued today. We read business quality at 90/100 (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

NET263 Ltd. provides cloud services in China and internationally. The company offers cloud network solutions, including virtual private network, data center, real-time audio and video transmission network, mobile network, international submarine cables, and 5G communication solutions; and cloud communication solutions, such as corporate live-streaming, enterprise email, video conferencing, teleconference, and call center solutions. It also provides virtual space construction, 3D virtual live broadcast, AI digital human design, and other services for various industries, as well as replacement, digital marketing, smart office and home, smart part building, digital cultural tourism, exhibitions, and medical finance, and AIGC application solutions. The company was founded in 1997 and is headquartered in Beijing, 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.