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IM Cannabis Corp (IMCC) Fair Value & Analysis

Healthcare · US · Market cap $1.6M

Price$0.1411
Fair Value$0.1873
Upside+32.7%
Quality82/100
Evidence: Low Range $0.1056 – $0.2690

Fair value as of: Jun 26, 2026

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Analysis

IM Cannabis Corp (IMCC) currently trades at $0.1411, while our model-based Fair Value estimate is $0.1873 — implying the stock looks roughly 32.7% undervalued today. We read business quality at 82/100 (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: low) — always confirm before acting.

About the company

IM Cannabis Corp. engages in importation, distribution and sale of medical cannabis products in Israel and Germany. It provides medical cannabis dried flowers; and full-spectrum cannabis extracts under the IMC, BLKMT, and LOT420 brands. The company serves medical patients. IM Cannabis Corp. was founded in 2008 and is headquartered in Vancouver, Canada.

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Frequently asked questions

Is IM Cannabis Corp (IMCC) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.1873 versus a price of $0.1411 — about +33% (undervalued). Model-based estimate, not financial advice.
What is the fair value of IMCC?
Our 21-model fair value for IM Cannabis Corp is $0.1873 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1411.
What is the quality score of IMCC?
IM Cannabis Corp has a Quality Score of 82/100, 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.