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Nufarm Limited (NUF) Fair Value & Analysis

Basic Materials · AU · Market cap A$1.1B

PriceA$2.70
Fair ValueA$1.35
Upside-50.0%
Quality95/100
Evidence: Medium Range A$1.35 – A$2.55

Analysis

Nufarm Limited (NUF) currently trades at A$2.70, while our model-based Fair Value estimate is A$1.35 — implying the stock looks roughly 50.0% overvalued today. We read business quality at 95/100 (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: medium).

About the company

Nufarm Limited, together with its subsidiaries, develops, manufactures, and sells crop protection solutions and seed technologies in Europe, the Middle East, Africa, North America, and the Asia Pacific. The company operates through Crop Protection and Seed Technologies segments. The company offers herbicides, insecticides, and fungicides that help growers protect crops against weeds, pests, and diseases. It also operates base seeds, bioenergy, omega-3 and seed treatment platforms, as well as sells seeds and oil-based products. It also focuses on crops, such as cereals; corn; soybean; pasture, turf, and ornamentals; and trees, nuts, vines, and vegetables. In addition, the company provides seed treatment products for the protection and treatment of damage caused by insects, fungus, and disease. Further, it distributes sunflower, sorghum, carinata, energy cane and canola seeds. The company was founded in 1916 and is headquartered in Laverton North, Australia.

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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.