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Shanghai Belling Co (600171) Fair Value & Analysis

Technology · CN · Market cap 18.7B CNY

Price¥28.00
Fair Value¥6.66
Upside-76.2%
Quality95/100
Evidence: High Range ¥5.00 – ¥8.33

Analysis

Shanghai Belling Co (600171) currently trades at ¥28.00, while our model-based Fair Value estimate is ¥6.66 — implying the stock looks roughly 76.2% 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

Shanghai Belling Co., Ltd. operates as an integrated circuit design company in China. It offers power management products, including DC/DC step-down, DC/DC step-up, and charge pump DC/DC step-up converter, load switch, voltage detector/reset IC, SSR, bipolar type and CMOS type LDO linear regulator, three-terminal positive regulator, li-ion battery charger, shunt regulator, and PSR; and measurement of IC of IOT and power sensor SoC. The company also provides power device products; ubiquitous energy management ASIC, LCD display driver, and power line communication modem IC; DC motor, relay, MOS drivers, as well as darlington transistor array; optical module SoC; digital isolator; EEPROM products; standard signal products comprising analog switch, real time clock, interface circuit, audio amplifier, and smoke detector; and highspeed ADC, high precision ADC, DAC, and voltage references. The company was founded in 1988 and is based in Shanghai, 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.