Virax Biolabs Group (VRAX) Fair Value & Analysis
Healthcare · US · Market cap $2.6M
Fair value as of: Jun 26, 2026
Analysis
Virax Biolabs Group (VRAX) currently trades at $0.1350, while our model-based Fair Value estimate is $0.2100 — implying the stock looks roughly 55.6% undervalued today. We read business quality at 90/100 (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
Virax Biolabs Group Limited, a biotechnology company, distributes diagnostics test kits for the prevention, detection, diagnosis, and risk management of viral diseases in the field of T cell in Vitro Diagnostics. The company offers various in-vitro diagnostics test kits comprising respiratory, pregnancy and fertility, infectious diseases, sti, drugs of abuse, oncology, cardiac, women's health, other test kits under the ViraxClear brands; and rapid and molecular tests for small animal veterinary diagnostics under the ViraxVet brand. It also provides ViraxImmune, a T cell In vitro diagnostic device and wellness mobile application; and service, such as antibody engineering, custom peptides, protein sequencing, vaccine efficacy testing, immunology lab services, kits and reagents. In addition, the company is involved in research and development activities; and provision of procurement, warehousing, product development, and staffing management services. It serves research organizations, c…
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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.