EPL Limited (EPL) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹73.8B
Fair value as of: Jun 29, 2026
Analysis
EPL Limited (EPL) currently trades at ₹229.22, while our model-based Fair Value estimate is ₹204.36 — implying the stock looks roughly 10.8% 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
EPL Limited, together with its subsidiaries, manufactures and sells plastic packaging materials in the form of multilayer collapsible tubes, corrugated boxes, and laminates in the Americas, Europe, Africa, the Middle East, South Asia, and the East Asia Pacific. The company provides dispensing systems, caps and closures, laminated tubes, laminates, and extruded tubes. It also offers sustainable laminated tubes, including Platina, Platina Pro, Platina Me, Platina Vision, Etain, Organic Green Maple Leaf, Green Maple Leaf, Super Titanium, and Clarion. In addition, the company provides printing technologies, such as NEOSeam, glitters, glow in the dark, 3D foil, screen braille effect, and lens foil effect. It serves the beauty and cosmetics, health and pharmaceuticals, food, home, and oral care industries. The company was formerly known as Essel Propack Limited and changed its name to EPL Limited in October 2020. EPL Limited was incorporated in 1982 and is based 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.