Sinofert Holdings (SNFRF) Fair Value & Analysis
Basic Materials · US · Market cap $1.7B
Fair value as of: Jun 25, 2026
Analysis
Sinofert Holdings (SNFRF) currently trades at $0.1970, while our model-based Fair Value estimate is $0.4400 — implying the stock looks roughly 123.4% undervalued today. We read business quality at 94/100 (high quality), in the Basic Materials 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: high) — always confirm before acting.
About the company
Sinofert Holdings Limited, an investment holding company, engages in the production, import and export, distribution, and retail of fertilizer raw materials and crop nutrition products in Mainland China and internationally. The company operates through Basic Business, Growth Business, and Production segments. It offers potash; phosphate; bio-compound fertilizers; special and nitrogen fertilizers; sulfur, crop protection, and seeds; and monocalcium and dicalcium phosphate. The company also provides technological research and development, and services relating to crop nutrition business and products; trades in fertilizers; develops agriculture products; and manufactures and sells feeds. In addition, it explores for and exploits a phosphate mine and produces monodicalcium phosphate. The company was founded in 1993 and is based in Wan Chai, Hong Kong. Sinofert Holdings Limited operates as a subsidiary of Syngenta Group (Hk) Holdings Company Limited.
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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.