Airo Lam Limited (AIROLAM) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹1.4B
Fair value as of: Jun 29, 2026
Analysis
Airo Lam Limited (AIROLAM) currently trades at ₹95.68, while our model-based Fair Value estimate is ₹80.85 — implying the stock looks roughly 15.5% overvalued today. We read business quality at 96/100 (high quality), in the Consumer Cyclical 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
Airo Lam Limited engages in the production, processing, and marketing of decorative laminate sheets and plywood boards in India. The company offers decorative laminates, decorative postforming, I Lam, I lite, color code laminates, and classico products; specialty laminates, including anti fingerprint, dura gloss pro, chalk grade, marker grade, synchronized, metallic, flicker, and digital laminates; and performance laminates, such as electrostatic dissipative, fire retardant, chemical resistant, and magnetic laminates. It also provides exterior and interior wall cladding, and restroom and cubicle laminates; plywood, blockboards, and flush door airoply products; gloss and matte acrylic panels; and matte finish products. The company sells its products through a network of distributors and dealers. It exports its products to Singapore, Malaysia, the United States, the United Kingdom, Kuwait, Bangladesh, Saudi Arabia, Sri Lanka, Thailand, Qatar, the United Arab Emirates, Syria, Iran, Egy…
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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.