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AVT Natural Products Limited (AVTNPL) Fair Value & Analysis

Basic Materials · IN · Market cap ₹10.6B

Price₹70.09
Fair Value₹52.51
Upside-25.1%
Quality97/100
Evidence: High Range ₹34.85 – ₹87.82

Fair value as of: Jun 29, 2026

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Analysis

AVT Natural Products Limited (AVTNPL) currently trades at ₹70.09, while our model-based Fair Value estimate is ₹52.51 — implying the stock looks roughly 25.1% overvalued today. We read business quality at 97/100 (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

AVT Natural Products Limited engages in the production, trading, and distribution of oleoresins, and value-added tea and animal nutritional products in India, Europe, the United States, and internationally. It offers marigold extracts for eye care, food coloring, and poultry pigmentation; spice oleoresin and oils for food coloring and flavoring; value added teas, such as decaffeinated and instant teas; animal health and nutrition products; and agricultural crop inputs. The company was incorporated in 1986 and is based in Chennai, India.

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Frequently asked questions

Is AVT Natural Products Limited (AVTNPL) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹52.51 versus a price of ₹70.09 — about −25% (overvalued). Model-based estimate, not financial advice.
What is the fair value of AVTNPL?
Our 21-model fair value for AVT Natural Products Limited is ₹52.51 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹70.09.
What is the quality score of AVTNPL?
AVT Natural Products 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.