KWS SAAT SE (KNKZF) Fair Value & Analysis
Basic Materials · US · Market cap $2.8B
Fair value as of: Jun 24, 2026
Analysis
KWS SAAT SE (KNKZF) currently trades at $84.83, while our model-based Fair Value estimate is $95.74 — implying the stock looks roughly 12.9% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
KWS SAAT SE & Co. KGaA breeds, produces, and distributes seeds for agriculture. It operates through four segments: Sugarbeet, Corn, Cereals, and Vegetables. The Corn segment breeds, produces, and distributes seed for corn, soybeans, and sunflowers. The Sugarbeet segment engages in the development, breeding, production, and development of diploid hybrid potatoes and sugar beet seeds. The Cereals segment breeds, produces, and distributes seeds for rye, wheat, barley, and oilseed rape. This segment also offers other crops, including peas, catch crops, mustard, and oats. The Vegetables segment engages in the breeding, production, and distribution of seeds for spinach, beans, Swiss chard, red beet, and tomatoes. KWS SAAT SE & Co. KGaA offers a research and development center covering an area of around 10,000 square meters, it houses a 6,600 square meter greenhouse and a preparation and research area for outdoor vegetables including an office and laboratory. The company was formerly known…
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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.