Shanghai Holystar Information Technology Co (688330) Fair Value & Analysis
Industrials · CN · Market cap 5.4B CNY
Analysis
Shanghai Holystar Information Technology Co (688330) currently trades at ¥38.24, while our model-based Fair Value estimate is ¥70.29 — implying the stock looks roughly 83.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Shanghai Holystar Information Technology Co., Ltd., together with its subsidiaries, engages in the research, development, production, and sale of intelligent equipment for distribution networks in China. The company offers intelligent pole-mounted switches, standardized primary and secondary deep products, fault indicators, intelligent analysis devices for line operations, primary and secondary deep integration solid insulated ring products, and ground fault analysis auxiliary devices. It also provides information technology services, such as power application software development and implementation; IoT communication modules; system integration; automation products; distribution network information services; and other products and services. In addition, the company engages in equity investment activities. It serves hospitals and ports; and power, energy, municipal, and transportation fields. Shanghai Holystar Information Technology Co., Ltd. was founded in 2011 and is headquartered…
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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.