Control Print Limited (CONTROLPR) Fair Value & Analysis
Industrials · IN · Market cap ₹10.2B
Fair value as of: Jun 29, 2026
Analysis
Control Print Limited (CONTROLPR) currently trades at ₹640.05, while our model-based Fair Value estimate is ₹572.47 — implying the stock looks roughly 10.6% overvalued today. We read business quality at 96/100 (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: high).
About the company
Control Print Limited engages in the manufacture and sale of coding and marking machines and consumables in India and internationally. It offers continuous inkjet printers, thermal inkjet printers, high-resolution printers, thermal transfer over printers, hot roll coders, laser printers, and large character printers, as well as consumables, including inkjet fluids, ribbons, and ink rolls. The company provides surgical face masks and other mask products, such as N95, FFP2, and IS 9473 masks. It serves the agrochemicals and seeds, automotive, beverages, building and construction material, cable and wire, cement, chemicals and lubricants, electronics, food, fast-moving consumer goods, healthcare, packaging and packaging materials, pipes and extruded plastics, plywood, rubber and tires, steel and metal, and textile industries. The company exports its products. Control Print Limited was incorporated in 1991 and is headquartered 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.