Xiamen Jihong Co (002803) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 9.9B CNY
Analysis
Xiamen Jihong Co (002803) currently trades at ¥23.27, while our model-based Fair Value estimate is ¥14.90 — implying the stock looks roughly 36.0% 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
Xiamen Jihong Co., Ltd engages in the cross-border social e-commerce and paper packaging business in Mainland China and internationally. The company operates through three segments: Cross-border Social Ecommerce, Paper Packaging, and Others. It offers marketing solutions, such as marketing planning, technical implementation, and online media resource integration; single-page advertisements on social software; one pack one code (OPOC) service, including marketing, traceability, and distribution solutions. The company also provides packaging solutions comprising folding cardboard, tobacco packaging, recyclable paper bag, QSR food grade packaging, cluster packaging, and personalized packaging, as well as concept, design, and development of packaging and automation machines, manufacturing, and logistics services. In addition, it is involved in incidental trading; and import and export business. The company was formerly known as Xiamen Jihong Package Technology Ltd. and changed its name …
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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.