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Wuhan P&S Information Technology Co (300184) Fair Value & Analysis

Technology · CN · Market cap 18.2B CNY

Price¥17.05
Fair Value¥3.75
Upside-78.0%
Quality95/100
Evidence: High Range ¥2.48 – ¥5.02

Analysis

Wuhan P&S Information Technology Co (300184) currently trades at ¥17.05, while our model-based Fair Value estimate is ¥3.75 — implying the stock looks roughly 78.0% 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

Wuhan P&S Information Technology Co., Ltd. engages in the agency distribution business in China and internationally. The company offers MCUs and MPUs, system management, communication interface, data converters, signal conditioning, power management, digital logic, clock management, switch, memory, power, sensor, special and passive IC, discrete, digital potentiometer, optoelectronics, and connector products. It is also involved in the independent chip research; research, development, production, sale, and services of smart meters in the power industry, intelligent circuit breakers and their derivatives, and power line carrier communication modules; IoT network card business and processing business; provision of technical support, solutions, modules, and terminal products; and operates Ickey, an e-commerce platform of IC distribution industry. The company was founded in 2001 and is headquartered in Wuhan, 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.