Outokumpu Oyj (OUT1V) Fair Value & Analysis
Basic Materials · FI · Market cap €2.8B
Analysis
Outokumpu Oyj (OUT1V) currently trades at €5.60, while our model-based Fair Value estimate is €2.16 — implying the stock looks roughly 61.4% 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
Outokumpu Oyj produces and sells various stainless-steel products in Finland, Germany, Italy, the United Kingdom, other European countries, North America, the Asia-Pacific, and internationally. It operates through Europe, the Americas, Ferrochrome, and Other operations segments. The company offers cold rolled coils, strips, and sheets; hot rolled coils, strips, and plates; quarto plates; precision strips; and specialized components, such as welded stainless-steel I-beams, H-beams, hollow-section tubes, bent profiles, duprof structural sections, hardened and customized press plates, suction roll shells, and blancs and disks. It also provides stainless steel powder which includes Supra 316L, Dura 17-4PH, Ultra 904L, Therma 253MA, Dura 4116, and Ni-free austenitic stainless-steel powder, ferritic grades as well as tailored product; and nickel-based alloys for environments in the process industry, oil and gas, and electric vehicles. In addition, the company offers cutting, polishing and…
Open the full interactive analysis →
Similar stocks
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.