LD Intelligent Technology CO., Ltd (300883) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 2.3B CNY
Fair value as of: Jun 24, 2026
Analysis
LD Intelligent Technology CO., Ltd (300883) currently trades at ¥6.47, while our model-based Fair Value estimate is ¥12.26 — implying the stock looks roughly 89.5% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.
About the company
LD Intelligent Technology CO., Ltd designs, develops, and manufactures printing technology and packaging containers. The company offers products and services for food and beverage, household chemicals, grain and oil, home office, electronic equipment, medicine and medical care, express delivery and e-commerce, and other industries. It is also engaged in advanced manufacturing applications, intelligent manufacturing, integration of industrialization and industrialization applications, computer technology, packaging technology, and printing technology, as well as design, research and development of various paper packaging containers, and modern fine-tuning. In addition, the company engages in technology development, technical services, and technology transfer in the fields of advanced manufacturing applications; high-end printing packaging, advanced paper products; research and development, design, manufacturing, and sale of industrial products, green packaging and printing materials,…
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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.