Danieli & C. Officine Meccaniche S.p.A (DNIYY) Fair Value & Analysis
Industrials · US · Market cap $3.5B
Analysis
Danieli & C. Officine Meccaniche S.p.A (DNIYY) currently trades at $37.55, while our model-based Fair Value estimate is $62.30 — implying the stock looks roughly 65.9% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Danieli & C. Officine Meccaniche S.p.A. designs, builds, and sells plants for the iron and steel industry in Europe, the Middle East, the Americas, and Southeast Asia. It operates through two segments, Plant Making and Steel Making. The company designs and builds plants for various process areas, including mines; pellet production plants; blast furnaces; direct reduction; scrap shredders; steelworks for production of liquid steel; and continuous casting for blooms and billets, slabs, and thin slabs. It designs and builds rolling mills for long products and seamless tubes; hot and cold rolling mills for flat products; process lines for flat products; and conditioning plants. In addition, the company offers plants for secondary processing, such as peeling, straightening, 2-roll reeling, and drawing machines; forging presses and manipulators, and forging plants; extrusion presses for ferrous and non-ferrous materials; plants for longitudinal cutting and for transversal cutting; and cra…
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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.