Trulieve Cannabis Corp (TCNNF) Fair Value & Analysis
Healthcare · US · Market cap $2.0B
Analysis
Trulieve Cannabis Corp (TCNNF) currently trades at $8.50, while our model-based Fair Value estimate is $13.42 — implying the stock looks roughly 57.9% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Trulieve Cannabis Corp. operates as a cannabis retailer in the United States. The company cultivates, processes, and manufactures cannabis products and distributes its products to its dispensaries, as well as through home delivery. It sells flowers, edibles, vapes, oral, topical, concentrates, and accessories under the Avenue, Cultivar Collection, Muse, Modern Flower, Alchemy, Momenta, Sweet Talk, Co2lors, and Roll One brands. The company operates dispensaries in Florida, Arizona, Georgia, Ohio, Maryland, West Virginia, Connecticut, and Pennsylvania. It operates cultivation and processing facilities in Arizona, Colorado, Florida, Georgia, Maryland, Pennsylvania, and West Virginia. The company also offers medical cannabis dispensary in North Miami Beach, Florida. Trulieve Cannabis Corp. was formerly known as Schyan Exploration Inc./Exploration Schyan Inc. and changed its name to Trulieve Cannabis Corp. in September 2018. Trulieve Cannabis Corp. was incorporated in 1940 and is headqua…
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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.