Dayu Irrigation Group (300021) Fair Value & Analysis
Utilities · CN · Market cap 3.9B CNY
Analysis
Dayu Irrigation Group (300021) currently trades at ¥3.78, while our model-based Fair Value estimate is ¥2.13 — implying the stock looks roughly 43.7% overvalued today. We read business quality at 89/100 (high quality), in the Utilities 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
Dayu Irrigation Group Co.,Ltd engages in the manufacture and sale of water-saving irrigation materials. It offers drip tapes and on-line dripper; PVC and PE pipes; fertilizer and fertigation equipment; reel type and large sprinklers; water tank, smart water meter, intelligent controller; integrated monitoring and control of the gate slot; water measurement equipment; home garden equipment; and Solar Irrigation System. The company is also involved in agricultural water saving; urban and rural water supply; sewage treatment; intelligent water affairs; water system connection; water ecological treatment and restoration; and integrating project planning, design, investment, construction, operation, management, and maintenance services. It serves in China, Thailand, Indonesia, Vietnam, India, Pakistan, Mongolia, Uzbekistan, Russia, South Africa, Zimbabwe, Tanzania, Ethiopia, Sudan, Egypt, Tunisia, Algeria, Nigeria, Benin, Togo, Senegal, Mali, Mexico, Ecuador, the United States, and inter…
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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.