DOMS Industries Limited (DOMS) Fair Value & Analysis
Industrials · IN · Market cap ₹136B
Fair value as of: Jun 29, 2026
Analysis
DOMS Industries Limited (DOMS) currently trades at ₹2,252, while our model-based Fair Value estimate is ₹782.96 — implying the stock looks roughly 65.2% overvalued today. We read business quality at 89/100 (high quality), in the Industrials 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
DOMS Industries Limited engages in the design, development, manufacturing, and sale of stationery and art material products under the DOMS brand name in India and internationally. It offers pencils, erasers, sharpeners, mathematical instruments, chalk and chalk holders, writing boards, crayons, oil pasters, color pencils, poster colours, water colours, sketch pens, brush pens, tempera colors, and brushes, as well as modeling clays, playing doughs, glitter glues, glue stick, scholastic adhesives, acrylic paints, artists brush, kneadable erasers, pigment liners, canvas boards, and artists water colours. It also provides pens, board markers, permanent markers, and correction pens; notebooks, exercise and drawing books, sketch pads, coloring books, wiro books, executive diaries, and conference pads; stationery kits, art material kits, painting kits, and combo packs; as well as baby diapers and wet wipes. In addition, it provides packaging services. The company was founded in 1973 and is…
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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.