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Canfor Corporation (CFP) Fair Value & Analysis

Basic Materials · CA · Market cap C$1.6B

PriceC$13.43
Fair ValueC$64.08
Upside+377.1%
Quality89/100
Evidence: Low Range C$48.06 – C$80.10

Fair value as of: Jun 24, 2026

Analysis

Canfor Corporation (CFP) currently trades at C$13.43, while our model-based Fair Value estimate is C$64.08 — implying the stock looks roughly 377.1% undervalued today. We read business quality at 89/100 (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

Canfor Corporation operates as an integrated forest products company in the United States, Asia, Canada, Europe, and internationally. It operates through Lumber, and Pulp and Paper segments. The company manufactures and sells softwood lumber, pulp and paper products, remanufactured lumber products, engineered wood and other lumber-related products, wood pellets, and energy. The company was founded in 1930 and is headquartered in Vancouver, Canada.

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Frequently asked questions

Is Canfor Corporation (CFP) undervalued?
As of Jun 24, 2026, our model estimates a fair value of C$64.08 versus a price of C$13.43 — about +377% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CFP?
Our 21-model fair value for Canfor Corporation is C$64.08 (as of Jun 24, 2026), built from audited fundamentals. The current price is C$13.43.
What is the quality score of CFP?
Canfor Corporation has a Quality Score of 89/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.