Shenzhen Zhilai Sci and Tech Co (300771) Fair Value & Analysis
Industrials · CN · Market cap 2.9B CNY
Fair value as of: Jun 24, 2026
Analysis
Shenzhen Zhilai Sci and Tech Co (300771) currently trades at ¥11.30, while our model-based Fair Value estimate is ¥6.90 — implying the stock looks roughly 38.9% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Shenzhen Zhilai Sci and Tech Co., Ltd. researches and develops, manufactures, sells, and services smart storage and delivery solutions in China and internationally. The company provides vending machines, such as smart, book, AI, elevator chilled, spiral track, frozen, magazine-clip, advertising touchscreen, and mix track; parcel locker, includes solar, bluetooth, smart refrigerated, and smart frozen; food delivery locker, comprising single and double sided, stainless steel, and hot food vending machine, as well as double-sided food vending locker products. It also provides electronic, RFID, police equipment, and intelligent tool storage lockers, as well as battery exchange charging locker. The company also provides after-sale services. It provides solutions to communities, education, entertainment, new retail, logistics, medical care, political and legal institutions, etc. Shenzhen Zhilai Sci and Tech Co., Ltd. was founded in 1999 and is headquartered in Shenzhen, 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.