UPL Limited (UPL) Fair Value & Analysis
Basic Materials · IN · Market cap ₹539B
Analysis
UPL Limited (UPL) currently trades at ₹596.80, while our model-based Fair Value estimate is ₹713.94 — implying the stock looks roughly 19.6% undervalued today. We read business quality at 86/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
UPL Limited, together with its subsidiaries, manufactures and sells pesticides, insecticides, and micronutrients in India, Brazil, the United States, the United Kingdom, and internationally. It operates in three segments: Crop Protection, Seeds, and Non-Agro. The company offers herbicides, fungicides, insecticides, acaricides, seed treatment, adjuvants, bio-solutions, public health products, fumigants, soil and water technologies, agrochemical products, and other agricultural related products under the Feroce, Shenzi, Winger, and Evolution brands, as well as ProNutiva, a solution for crop protection. It also provides seeds for vegetables and crops, such as grain sorghum, forage, corn, canola, sunflower, rice, wheats, and soyas, as well as other crops, including pearl millets, biofumingants, oats, mustards, and alfalfas under the Advanta, Alta Seeds, Pacific Seeds, and Hannaford brands. In addition, the company offers industrial and specialty chemicals, such as phosphorus, cynation, …
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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.