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Christina Lake Cannabis Corp (CLCFF) Fair Value & Analysis

Healthcare · US · Market cap $5.7M

Price$0.0210
Fair Value$0.0376
Upside+79.0%
Quality92/100
Evidence: Medium Range $0.0313 – $0.0439

Fair value as of: Jun 26, 2026

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Analysis

Christina Lake Cannabis Corp (CLCFF) currently trades at $0.0210, while our model-based Fair Value estimate is $0.0376 — implying the stock looks roughly 79.0% undervalued today. We read business quality at 92/100 (high quality), in the Healthcare 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: medium) — always confirm before acting.

About the company

Christina Lake Cannabis Corp., a license cannabis producer, engages in the research and development, cultivation, processing, production, and sale of cannabis in Canada. It offers distilled and winterized oils; kief products; and additional extracted products. The company was formerly known as Cervantes Capital Corp. and changed its name to Christina Lake Cannabis Corp. in December 2018. Christina Lake Cannabis Corp. was incorporated in 2014 and is based in Vancouver, Canada.

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Frequently asked questions

Is Christina Lake Cannabis Corp (CLCFF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0376 versus a price of $0.0210 — about +79% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CLCFF?
Our 21-model fair value for Christina Lake Cannabis Corp is $0.0376 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0210.
What is the quality score of CLCFF?
Christina Lake Cannabis Corp has a Quality Score of 92/100, 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.