Andhra Paper Limited (ANDHRAPAP) Fair Value & Analysis
Basic Materials · IN · Market cap ₹12.7B
Fair value as of: Jun 29, 2026
Analysis
Andhra Paper Limited (ANDHRAPAP) currently trades at ₹63.61, while our model-based Fair Value estimate is ₹15.92 — implying the stock looks roughly 75.0% 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
Andhra Paper Limited manufactures and sells paper, paperboard, and pulp in India and internationally. The company offers writing and printing, copier, and specialty paper products; and office documentation and multipurpose papers for use in home and commercial applications. Its products are used in account books, annual reports, bills, blade wrapping, book printing, brochures, calendars, cash books, challans, children books, computer forms, covers, diaries, envelopes, files/folders, foil laminates, forms, greeting cards, inkjet printing, invoices, carry bags, variable data printing, journals, labels, leaflets, lottery and laser printing, magazine covers, magazines, notebooks, novels, pamphlets, paper cups, picture posters, plotter rolls, photocopying, soap wrappers, stationery, text books, tickets, wedding cards, writing pads, pizza boxes with inner liners, and pharma inserts. The company was formerly known as International Paper APPM Limited and changed its name to Andhra Paper Lim…
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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.