RHI Magnesita N.V (RMGNF) Fair Value & Analysis
Industrials · US · Market cap $2.0B
Analysis
RHI Magnesita N.V (RMGNF) currently trades at $42.01, while our model-based Fair Value estimate is $47.06 — implying the stock looks roughly 12.0% 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
RHI Magnesita N.V., together with its subsidiaries, develops, produces, sells, installs, and maintains refractory products and systems used in industrial high-temperature processes worldwide. The company offers magnesite and dolomite, and refractory bricks, as well as mixes, mortars and castables, and other specialized refractory products. It also provides refractory engineering solutions, such as drawings or design of a linings concept, installation, supervision, maintenance, and recycling. In addition, the company offers systems, sensors, machinery, and digital products; and sells internally produced raw materials, such as magnesite ore, dead-burned magnesia, and fused magnesia. It serves customers in steel, cement, metals, lime, non-ferrous metals, glass, energy, environmental, and chemicals industries. Additionally, it offers raw magnesite, caustic magnesia, sintered magnesia, dolomite and sintered dolomite, magnesia products, slag conditioners, magnesium oxide, spinels, agalmat…
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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.