Charlotte's Web Holdings (CWEB) Fair Value & Analysis
Healthcare · CA · Market cap C$154M
Fair value as of: Jun 24, 2026
Analysis
Charlotte's Web Holdings (CWEB) currently trades at C$0.4000, while our model-based Fair Value estimate is C$0.0600 — implying the stock looks roughly 85.0% 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: low).
About the company
Charlotte's Web Holdings, Inc. engages in the farming, manufacturing, marketing, and sale of hemp-derived cannabidiol (CBD) and botanical-based wellness products in the United States. The company offers full-spectrum hemp extract oil tinctures, such as liquid products; gummies; capsules; soft-gels; CBD topical creams and lotions; broad-spectrum botanical CBD; functional mushroom gummies; and pet products. Its products contain naturally occurring phytocannabinoids, including CBD, cannabichromene (CBC), cannabigerol (CBG), cannabinol (CBN), terpenes, flavonoids, and other beneficial hemp compounds. The company markets its products under the Charlotte's Web, Brightside, CBD Clinic, and CBD Medic brands. It distributes its products through its e-commerce website, third-party e-commerce websites, distributors, retailers, and healthcare practitioners. The company was formerly known as Stanley Brothers Holdings Inc. and changed its name to Charlotte's Web Holdings, Inc. in July 2018. Charl…
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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.