Frontage Holdings (FGHQF) Fair Value & Analysis
Healthcare · US · Market cap $223M
Fair value as of: Jun 26, 2026
Analysis
Frontage Holdings (FGHQF) currently trades at $0.1400, while our model-based Fair Value estimate is $0.0700 — implying the stock looks roughly 50.0% overvalued today. We read business quality at 94/100 (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: high).
About the company
Frontage Holdings Corporation provides drug discovery, drug development, pharmaceutical product development, and laboratory testing services to pharmaceutical, biotechnology, and agrochemical companies. It offers drug discovery services comprising medicinal chemistry, pharmacology, and efficacy, as well as absorption, distribution, metabolism, and excretion (ADME) screening. The company also provides drug metabolism and pharmacokinetics (DMPK); safety and toxicology; early phase clinical services; and bioequivalence and related services, such as pharmacology, medical writing, and regulatory support. In addition, it offers pharmaceutical product development services, including intermediate and active pharmaceutical ingredient (API) synthesis, process and formulation development, and clinical trial material manufacturing. Further, the company provides laboratory testing services, such as bioanalysis, biomarkers, genomics, chemistry, manufacturing and controls ("CMC") analytical testin…
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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.