Delta Manufacturing Limited (DELTAMAGNT) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹672M
Fair value as of: Jun 29, 2026
Analysis
Delta Manufacturing Limited (DELTAMAGNT) currently trades at ₹60.82, while our model-based Fair Value estimate is ₹11.12 — implying the stock looks roughly 81.7% 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: medium).
About the company
Delta Manufacturing Limited manufactures and sells hard ferrites, soft ferrites, textile woven labels, heat transfer labels, fabric printed labels, and elastic/woven tape in India and internationally. The company operates through Hard Ferrites and Textiles segments. It provides sector magnets for use in automotive magnetos and alternators; motor magnets for starter motors of automotive and motorcycles; ferrofluid-liquid magnets for applications in loudspeakers, electronic devices, mechanical engineering, aerospace, analytical instrumentation, biomedical, heat transfer-cooling, and display and education kits; and ring magnets for loudspeakers and lifting devices, etc. The company also offers isotropic magnets for toys games and micro motors; low energy embedding powder magnets for use in bonded applications; and rare earth magnets that are used in electric vehicle drive motors, solar pumps, and drone motors. In addition, it manufactures soft ferrite, textile woven labels, fabric prin…
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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.