Shanghai Prisemi Electronics Co (688230) Fair Value & Analysis
Technology · CN · Market cap 7.5B CNY
Analysis
Shanghai Prisemi Electronics Co (688230) currently trades at ¥70.77, while our model-based Fair Value estimate is ¥17.26 — implying the stock looks roughly 75.6% 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 Prisemi Electronics Co.,Ltd. researches and develops, produces, and sells power semiconductor products in China and internationally. It offers power ICs, such as a lithium battery charging chip, OVP overvoltage protection chip, load switch, linear charging, audio power amplifier, and DC/DC power conversion chip, as well as gallium nitride driver IC; and power components that include protective devices, metal-oxide semiconductor field effect transistors, transient voltage suppression diodes, Schottky barrier diodes, gallium nitride, insulated gate bipolar transistors, silicon carbide, and third generation semiconductor products. The company's products are primarily used in consumer electronics, network communications, security, industry, automobiles, energy storage, and other fields. It also exports its products to Hong Kong, Taiwan, and South Korea. Shanghai Prisemi Electronics Co.,Ltd. was founded in 2009 and is based in Shanghai, 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.