Nanjing Inform Storage Equipment (Group) Co (603066) Fair Value & Analysis
Industrials · CN · Market cap 3.0B CNY
Fair value as of: Jun 24, 2026
Analysis
Nanjing Inform Storage Equipment (Group) Co (603066) currently trades at ¥10.55, while our model-based Fair Value estimate is ¥4.71 — implying the stock looks roughly 55.4% 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
Nanjing Inform Storage Equipment (Group) Co., Ltd., together with its subsidiaries, researches and develops, manufactures, sells, and installs shelf and storage equipment in China. It provides stacker crane general system for AS/RS solutions used in 3c electronics, pharmaceuticals, automobile, food & beverage, manufacturing, cold-chain, new energy, tobacco, and other industries; stacker crane for pallet; heavy load stacker crane ASRS; and mini load stacker crane for box. The company also offers shuttle storge robots, such as radio, multi, four-way radio and multi, and attic shuttle; shuttle storge systems comprising two way and four way multi shuttle, shuttle mover, miniload ASRS, and four way and two way shuttle systems, as well as warehouse management software and warehouse control system. It provides racking and shelving solutions, such as ASRS, carton flow, cantilever, teardrop and selective pallet, drive in, gravity, medium and light duty, VNA, shuttle, push back, new energy, a…
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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.