Hainan Jingliang Holdings (000505) Fair Value & Analysis
Consumer Defensive · CN · Market cap 4.1B CNY
Fair value as of: Jun 25, 2026
Analysis
Hainan Jingliang Holdings (000505) currently trades at ¥5.36, while our model-based Fair Value estimate is ¥1.90 — implying the stock looks roughly 64.6% overvalued today. We read business quality at 87/100 (high quality), in the Consumer Defensive 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: medium).
About the company
Hainan Jingliang Holdings Co., Ltd., together with its subsidiaries, engages in oils and oilseeds processing and trading, and food processing in China. The Company processes, refines, and markets, raw oils, such as soybean oil, corn oil, sunflower seed oil, peanut oil, rapeseed oil, flaxseed oil, olive oil, and sesame oil and paste under the Gu Chuan, Lv Bao, Gu Bi, and Huo Niao brands. It also offers bsnack food and bakery products, such as chips, pastries and bread under the Xiao Wangzi, Dong Xiaojie, Jianqiang de Tudouzai, and Gu Chuan brands. In addition, the company offers organic, microbial, and agricultural fertilizers; land consolidation; soil remediation; agricultural planting development, animal husbandry, and aquaculture; agricultural equipment; computer network technology; warehousing; investment management; commercial services; and animation and graphic design services, as well as leases self-owned premises, and import and export trade in goods and technology. Furthur, …
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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.