Sichuan Development Lomon Co (002312) Fair Value & Analysis
Basic Materials · CN · Market cap 16.8B CNY
Analysis
Sichuan Development Lomon Co (002312) currently trades at ¥9.26, while our model-based Fair Value estimate is ¥4.61 — implying the stock looks roughly 50.2% overvalued today. We read business quality at 92/100 (high quality), in the Basic Materials 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
Sichuan Development Lomon Co.,Ltd. engages in the research and development, production, and sale of phosphorus chemical products in China. The company offers phosphorus chemical products, including industrial-grade monoammonium phosphate, fertilizer-grade monoammonium phosphate, feed-grade dicalcium phosphate, and various compound fertilizers as well as lithium iron phosphate. It also engages in agricultural; logistics and transportation; loading and unloading, handling, warehousing activities; phosphate production and sale; research and development, and production of new materials; phosphate mining, washing, and sale activities; pipeline transportation; engineering design, supervision, and construction businesses; manufacture of chemical raw materials and chemical products; and iron ore mining and washing business. The company was formerly known as Chengdu Santai Holding Group Co., Ltd. Sichuan Development Lomon Co.,Ltd. was founded in 1997 and is headquartered in Chengdu, China.
Open the full interactive analysis →
Similar stocks
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.