Klöckner & Co (KCO) Fair Value & Analysis
Basic Materials · DE · Market cap €1.2B
Analysis
Klöckner & Co (KCO) currently trades at €12.36, while our model-based Fair Value estimate is €7.47 — implying the stock looks roughly 39.6% 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
Klöckner & Co SE, together with its subsidiaries, engages in the distribution of steel and metal products in Germany, Switzerland, France, the United States, and internationally. It operates through two segments: Kloeckner Metals Americas and Kloeckner Metals Europe. The company offers steel flat products; long steel products; tubes and hollow sections; stainless steel and high-grade steel; aluminum products; and CO2-reduced steel, stainless steel, and aluminum products for building installations, roof and wall construction, and water supply. It also provides cutting and splitting of steel strips; forming and manufacturing of pressed parts; CNC turning/milling; 2D/3D tube laser cutting; laser and water jet cutting; structural steel processing; plasma and oxy-fuel cutting; blasting and primer surface treatment; and sawing/drilling/rounding off services. In addition, it offers warehousing, logistics, and materials management services. The company serves small to medium-sized steel and…
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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.