Trees Corporation (CANN) Fair Value & Analysis
Healthcare · US · Market cap $2.1M
Fair value as of: Jun 26, 2026
Analysis
Trees Corporation (CANN) currently trades at $0.0164, while our model-based Fair Value estimate is $0.0154 — implying the stock looks roughly 6.4% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Trees Corporation operates as a cannabis retailer and cultivator in the United States. The company operates through Retail and Cultivation segments. The company offers cannabis flower, shake, wax, shatter, live resin, and other products, as well as joints, and vape cartridges and batteries; and gummies, taffy, hard candies, cookies, chocolate bars, and savory snacks. It also provides smoking accessories, including glass pipes and rigs, lighters, torches, and rolling papers; soda and juice products, tinctures, and elixirs; creams and lotions, oils, salves, transdermal patches, and balms; and t-shirts, sweat shirt, hoodies, hats, and stickers under the Trees Dispensaries brand name. In addition, the company operates cannabis dispensaries and cultivation facilities. Trees Corporation was formerly known as General Cannabis Corp. and changed its name to Trees Corporation in June 2022. The company is headquartered in Lakewood, Colorado.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Trees Corporation (CANN) undervalued?
What is the fair value of CANN?
What is the quality score of CANN?
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.