ORG Technology Co (002701) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 11.3B CNY
Analysis
ORG Technology Co (002701) currently trades at ¥4.48, while our model-based Fair Value estimate is ¥6.69 — implying the stock looks roughly 49.3% undervalued today. We read business quality at 90/100 (high quality), in the Consumer Cyclical 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
ORG Technology Co., Ltd., together with its subsidiaries, provides packaging solutions in China and internationally. The company offers packaging products, including food and beverage cans, aerosol cans, metal caps, plastic packaging, and industrial steel drums. It also provides filling services for various beverages; brand planning services, including brand research, strategy, and performance, as well as digital management/distribution and integrated communication; QR code data marketing; and packaging testing and analysis. In addition, the company engages in the investment, promotion, development, and management of ice hockey and football. Further, it is involved in technical consulting and services; technology development and transfer; sports project management and event planning; skating training; import and export of goods; project investment and management; asset and investment management; cultural and artistic exchange activity planning; catering business; sale of new energy …
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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.