Kalyan Jewellers India Limited (KALYANKJIL) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹384B
Analysis
Kalyan Jewellers India Limited (KALYANKJIL) currently trades at ₹373.10, while our model-based Fair Value estimate is ₹244.35 — implying the stock looks roughly 34.5% 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
Kalyan Jewellers India Limited, together with its subsidiaries, engages in the manufacture and retail of various gold and precious stone studded jewelry products. It offers gold, diamond, silver, platinum, gemstone, and white and rose gold jewelries, including wedding, staple regional, aspirational, studded, and other jewelries. The company also provides chains, necklaces, bangles, bracelets, nose studs, choker, jewelry, and moti sets, daily wear, vaddanam, rings, earrings, pendants, anklets, pearls, studs, jhumka, lockets, harams, kadas, payals, and second studs. It offers its products under MUDHRA, NIMAH, ANOKHI, RANG, TEJASVI, ZIAH, LAYA, GLO, CANDERE, VEDHA, APOORVA, HERA, and MUHURAT brand names. In addition, the company operates showrooms in India and the Middle East, as well as My Kalyan Grassroots stores. Further, it sells its products through an online platform, candere.com. Kalyan Jewellers India Limited was founded in 1993 and is headquartered in Thrissur, 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.