Aries Agro Limited (ARIES) Fair Value & Analysis
Basic Materials · IN · Market cap ₹4.4B
Fair value as of: Jun 29, 2026
Analysis
Aries Agro Limited (ARIES) currently trades at ₹339.30, while our model-based Fair Value estimate is ₹560.21 — implying the stock looks roughly 65.1% undervalued today. We read business quality at 96/100 (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
Aries Agro Limited, together with its subsidiaries, engages in the manufacture and supply of micronutrients and other nutritional products for plants and animals. It offers plant protection, aqua culture and animal nutrition, water soluble NPK, organic and bio, high density input, crop specific, slow-release fertilizer pastilles, and other products, as well as nutrients for urban farms and gardens. The company also manufactures and sells chilly and spices, millets, teamin, soymin, coffeemin, maize, cotton, paddy, and betel vine special products; aries pro " calcium chloride products; farm equipment and machinery; and mineral feed supplements. In addition, it provides hydroponics and consultancy services. Aries Agro Limited operates in India, Nepal, Brazil, the Philippines, the United Arab Emirates, Taiwan, Australia, Nigeria, New Zealand, and internationally. The company was incorporated in 1969 and is headquartered in Mumbai, India.
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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.