Bombay Super Hybrid Seeds Limited (BSHSL) Fair Value & Analysis
Basic Materials · IN · Market cap ₹9.6B
Fair value as of: Jun 29, 2026
Analysis
Bombay Super Hybrid Seeds Limited (BSHSL) currently trades at ₹91.40, while our model-based Fair Value estimate is ₹39.21 — implying the stock looks roughly 57.1% overvalued today. We read business quality at 97/100 (high quality), in the Basic Materials 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
Bombay Super Hybrid Seeds Limited engages in the research, production, processing, and marketing of hybrid and GM seeds in India. It provides various field and vegetable crop seeds, such as groundnut, coriander, sesame, maize, lucerne, fenugreek, wheat, onion, soybean, tomato, fennel, pigeon pea, watermelon, ajwain, beet root, paddy, isabgol, spinach, cucumber, pumpkin, lentil, carrot, okra, radish, cauliflower, cabbage, brinjal, bottle gourd, gram, bajra, gum guar, black gram, guar, green gram, hybrid sweet corn, cumin, jowar, peas, muskmelon, mustard, french bean, limabean, rajka bajri, chilli, bhindi/okra, cowpea, ridge gourd, sponge gourd, bitter gourd, castor, coriander, papaya, and drumstick seeds under the Kasturi and Bombay Super brands. The company also exports its products. Bombay Super Hybrid Seeds Limited was founded in 1983 and is based in Rajkot, India.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Bombay Super Hybrid Seeds Limited (BSHSL) undervalued?
What is the fair value of BSHSL?
What is the quality score of BSHSL?
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.