Lontrue Co (300175) Fair Value & Analysis
Consumer Defensive · CN · Market cap 2.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Lontrue Co (300175) currently trades at ¥4.82, while our model-based Fair Value estimate is ¥5.89 — implying the stock looks roughly 22.2% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
Lontrue Co., Ltd., together with its subsidiaries, engages in the agricultural and sideline product processing activities in China and internationally. The company offers fresh fruits, nuts, seeds, dried fruits, kernels, and prepackaged products, as well as OEM services and data center, computer room testing, and data center architectural design services. In addition, the company's primary products include raisins, fresh apples, pine nuts, and pine nut kernels. The company serves the food, IDC, and logistics industries. It is also involved in the exporting activities. The company was formerly known as Yantai Guangyuan Fruit Vegetable Co., Ltd and changed its name to Lontrue Co., Ltd. in May 2009. Lontrue Co., Ltd. was founded in 2002 and is based in Longkou, China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Lontrue Co (300175) undervalued?
What is the fair value of 300175?
What is the quality score of 300175?
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.