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ABM International Limited (ABMINTLLTD) Fair Value & Analysis

Basic Materials · IN · Market cap ₹393M

Price₹40.74
Fair Value₹39.64
Upside-2.7%
Quality97/100
Evidence: Medium Range ₹26.52 – ₹52.75

Fair value as of: Jun 29, 2026

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Analysis

ABM International Limited (ABMINTLLTD) currently trades at ₹40.74, while our model-based Fair Value estimate is ₹39.64 — implying the stock looks roughly 2.7% 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: medium).

About the company

ABM International Limited engages in the importing and trading of plastic raw materials in India. The company sells PVC resins, PVC Leather Cloth and finished leather products, DOP, urea, etc. ABM International Limited was incorporated in 1983 and is based in New Delhi, India.

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Frequently asked questions

Is ABM International Limited (ABMINTLLTD) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹39.64 versus a price of ₹40.74 — about −3% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ABMINTLLTD?
Our 21-model fair value for ABM International Limited is ₹39.64 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹40.74.
What is the quality score of ABMINTLLTD?
ABM International 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.