Functional Brands Inc (MEHA) Fair Value & Analysis
Consumer Defensive · US · Market cap $793K
Fair value as of: Jun 26, 2026
Analysis
Functional Brands Inc (MEHA) currently trades at $0.0051, while our model-based Fair Value estimate is $0.0050 — implying the stock looks roughly 1.5% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
Functional Brands Inc. manufactures and distributes nutraceutical supplements in the United States. The company offers supplements in various categories, such as pain, energy, prenatal, general health, bone and joint, gastro, immunity, cardiac, detox, mental clarity and focus, sleep, and urinary health. It also provides supplements for autism, essential fatty acids, oxytocin, vitamin b12, vitamin b6 and magnesium, glutathione, melatonin, amino acids, probiotics, multivitamins and minerals, digestive enzymes, and antioxidants under the Kirkman and P2i brand; and multi vitamin, biotin, b complex, magnesium/melatonin, vitamin d, Co10, L-theanine, phosphatidylserine, bone support, and vitamin c under the Tru2u.Health brand. In addition, the company operates www.Tru2u.health, a consumer-facing telehealth and wellness platform. It sells its products to pharmacies, US wholesalers, domestic and international distributors, healthcare practitioners, e-commerce platforms, and direct-to-consume…
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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.