Mercer International Inc (MERC) Fair Value & Analysis
Basic Materials · US · Market cap $57.5M
Fair value as of: Jun 24, 2026
Analysis
Mercer International Inc (MERC) currently trades at $0.7262, while our model-based Fair Value estimate is $3.05 — implying the stock looks roughly 320.0% undervalued today. We read business quality at 0/100 (below-average 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
Mercer International Inc., together with its subsidiaries, manufactures and sells northern bleached softwood kraft (NBSK) and northern bleached hardwood kraft (NBHK) pulp in the United States, Germany, China, and internationally. It operates through two segments, Pulp and Solid Wood. The company manufactures, sells, and distributes pulp, electricity, and chemicals through pulp mills. It also manufactures, distributes, and sells lumber, cross and glue laminated timber, finger joint lumber, wood pallets, electricity, biofuels, and wood residuals. In addition, the company generates and sells green energy produced from biomass cogeneration power plants. Further, it produces and sells NBSK pulp manufactured from softwood; green energy using carbon neutral biofuels, such as black liquor and wood waste; tall oil from black liquor for use as a chemical additive and green energy source; wood pellets and briquettes; lignin; and wood procurement and logistics services. The company sells its pu…
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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.