Borosil Limited (BOROLTD) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹28.2B
Fair value as of: Jun 29, 2026
Analysis
Borosil Limited (BOROLTD) currently trades at ₹237.31, while our model-based Fair Value estimate is ₹111.16 — implying the stock looks roughly 53.2% overvalued today. We read business quality at 97/100 (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
Borosil Limited manufactures, sells, and trades in consumer ware products in India. The company offers Scientific and Industrial Products, including laboratory glassware, instruments, disposable plastics, liquid handling systems, explosion proof lighting glassware, glass ampoules, tabular glass vials, and pharmaceutical packaging. It also provides consumer products, such as glass serve wear products, microwavable and flameproof kitchenware, glass tumblers, hydra bottles, tableware and dinnerware, storage products, kitchen appliances, glass lunch boxes, stainless steel cookware, and steel vacuum insulated flasks and bottles, as well as solar glass. The companoffers its products under the Larah, Klass Pack, LabQuest, and Borosil brand names. The company distributes through mom-and-pop crockery stores, large retail formats, e-commerce platforms, and website. It also exports its products. The company was formerly known as Hopewell Tableware Limited. The company was founded in 1962 and i…
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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.