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Shandong Newjf Technology Packaging Co (301296) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.8B CNY

Price¥6.32
Fair Value¥3.64
Upside-42.4%
Quality93/100
Evidence: High Range ¥2.17 – ¥5.11

Fair value as of: Jun 24, 2026

Analysis

Shandong Newjf Technology Packaging Co (301296) currently trades at ¥6.32, while our model-based Fair Value estimate is ¥3.64 — implying the stock looks roughly 42.4% overvalued today. We read business quality at 93/100 (high quality), in the Consumer Cyclical 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

Shandong Newjf Technology Packaging Co.,Ltd. engages in the research and development, production, and sale of aseptic packaging materials for liquid food products primarily in China. It also provides technical support for aseptic packaging equipment. The company was incorporated in 2007 and is based in Xintai, China.

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Frequently asked questions

Is Shandong Newjf Technology Packaging Co (301296) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥3.64 versus a price of ¥6.32 — about −42% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 301296?
Our 21-model fair value for Shandong Newjf Technology Packaging Co is ¥3.64 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥6.32.
What is the quality score of 301296?
Shandong Newjf Technology Packaging Co has a Quality Score of 93/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.