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Aperam S.A (APEMY) Fair Value & Analysis

Basic Materials · US · Market cap $4.3B

Price$59.43
Fair Value$16.60
Upside-72.1%
Quality95/100
Evidence: High Range $14.15 – $17.13

Analysis

Aperam S.A (APEMY) currently trades at $59.43, while our model-based Fair Value estimate is $16.60 — implying the stock looks roughly 72.1% 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: high).

About the company

Aperam S.A., together with its subsidiaries, produces and sells stainless steel and alloy products worldwide. The company operates through four segments: Stainless & Electrical Steel; Services & Solutions; Alloys & Specialties; and Recycling & Renewables. The company offers a range of stainless steel, flat stainless and electrical steel, and special carbon products. It also produces specialty grades alloys and specialties. In addition, the company engages in tubes business, as well as provision of value added and customized steel solutions. Further, it collects, trades, processes, and recycles stainless steel scrap and high-performance alloys. The company serves aerospace, automotive, construction, medical, and oil and gas industries. It distributes its products through a network of steel service centers, transformation facilities, and sales offices. The company was incorporated in 2010 and is headquartered in Luxembourg, Luxembourg.

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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.