ProPhase Labs, Inc (PRPH) Fair Value & Analysis
Healthcare · US · Market cap $1.1M
Fair value as of: Jun 26, 2026
Analysis
ProPhase Labs, Inc (PRPH) currently trades at $0.0911, while our model-based Fair Value estimate is $0.2814 — implying the stock looks roughly 208.9% 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: low) — always confirm before acting.
About the company
ProPhase Labs, Inc. develops and commercializes novel drugs, dietary supplements, and compounds in the United States. It operates through two segments: Diagnostic Services and Consumer Products. The company provides a range of dietary supplements under the TK supplements, including Legendz XL, a male sexual enhancement; and Triple Edge XL, an energy and stamina booster. It also develops BE-Smart Esophageal Pre-Cancer diagnostics screening test for early detection of esophageal cancer; genomics testing technologies to analyze entire genomes, including the genes and chromosomes in deoxyribonucleic acid; DNA Expand, a platform that allows consumers to upload their DNA data from previous DNA tests obtained from other service providers; and LB-1 and LB-2 for the treatment of cancer, inflammatory diseases or symptoms and memory related syndromes, diseases or symptoms, including dementia and Alzheimer's disease. In addition, the company provides Nebula focuses on genomics testing technolog…
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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.