Guangzhou Tech-Long Packaging Machinery Co (002209) Fair Value & Analysis
Industrials · CN · Market cap 2.3B CNY
Fair value as of: Jun 25, 2026
Analysis
Guangzhou Tech-Long Packaging Machinery Co (002209) currently trades at ¥10.92, while our model-based Fair Value estimate is ¥8.94 — implying the stock looks roughly 18.1% overvalued today. We read business quality at 92/100 (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
Guangzhou Tech-Long Packaging Machinery Co.,Ltd. manufactures and sells liquid packaging machinery industry in China and internationally. The company offers water treatment systems, such as beverage treatment, deep membrane treatment, mineral addition, ion exchange, and sterilization systems; pretreatment systems, including clean in place, sugar melting, extraction, and blending systems, as well as sterilization and mixing machines; and integrated filling lines comprising blower-filler-capper monoblock, water filling, and blower-labeler-filler-capper monoblock machines, as well as bottle chemical wet sterilization, preform chemical dry sterilization, bottle physical dry sterilization, and combined dry and wet sterilization products. It also provides PET blow molding machines; beverage and non-beverage filling, aseptic or ultra hygienic filling machines; self and hot melt adhesive labeling machines, and labelers; and full bottle conveyors, carton and tilting conveyors, cooling tunnel…
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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.