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Agro Phos (India) Limited (AGROPHOS) Fair Value & Analysis

Basic Materials · IN · Market cap ₹609M

Price₹30.32
Fair Value₹59.18
Upside+95.2%
Quality97/100
Evidence: High Range ₹30.57 – ₹74.00

Fair value as of: Jun 29, 2026

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Analysis

Agro Phos (India) Limited (AGROPHOS) currently trades at ₹30.32, while our model-based Fair Value estimate is ₹59.18 — implying the stock looks roughly 95.2% undervalued today. We read business quality at 97/100 (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

Agro Phos (India) Limited engages in the manufacture and sale of fertilizers in India. The company offers single super phosphate, nitrogen phosphate and potassium, zinc and calcium sulphate, phosphate rich organic manure, potash derived from molasses, and organic manure fertilizers. It is also involved in the trading of diammoium phosphate, urea, ammonium sulphate, and other fertilizers. The company sells its products under the Ratna and Krishi Samridhi brand names. Agro Phos (India) Limited was incorporated in 2002 and is headquartered in Indore, India.

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Frequently asked questions

Is Agro Phos (India) Limited (AGROPHOS) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹59.18 versus a price of ₹30.32 — about +95% (undervalued). Model-based estimate, not financial advice.
What is the fair value of AGROPHOS?
Our 21-model fair value for Agro Phos (India) Limited is ₹59.18 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹30.32.
What is the quality score of AGROPHOS?
Agro Phos (India) Limited has a Quality Score of 97/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.