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ERAMET S.A (ERMAF) Fair Value & Analysis

Basic Materials · US · Market cap $1.6B

Price$55.45
Fair Value$85.32
Upside+53.9%
Quality80/100
Evidence: Low Range $63.99 – $106.65

Analysis

ERAMET S.A (ERMAF) currently trades at $55.45, while our model-based Fair Value estimate is $85.32 — implying the stock looks roughly 53.9% undervalued today. We read business quality at 80/100 (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: low) — always confirm before acting.

About the company

ERAMET S.A. produces and sells manganese and nickel metals in Asia, Europe, North America, and internationally. It extracts and processes manganese and nickel ores; extracts and develops mineral sands; and mines and processes lithium deposits. The company also offers manganese alloys, including silicomanganese, low-carbon silicomanganese, and manganese dioxide, as well as medium, low, and high carbon ferromanganese; manganese ores, such as lumpy ores, fines, HM, and sinter products; ferronickel, nickel pig iron, briquettes, nickel salts, nickel ferroalloys, ferronickel slag, and other nickel products; and mineral sands, ilmenite, rutile, and leucoxene, such as zircon and titanium dioxide used in building, decoration, and ceramics, and abrasives. In addition, it operates Moanda mine in Gabon; nickel mines in New Caledonia and Indonesia; and mineral sand mine in Senegal. The company was incorporated in 1880 and is headquartered in Paris, France.

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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.