Venture Life Group (VLG) Fair Value & Analysis
Consumer Defensive · GB · Market cap 68.8M GBX
Fair value as of: Jun 24, 2026
Analysis
Venture Life Group (VLG) currently trades at p0.6650, while our model-based Fair Value estimate is p0.8200 — implying the stock looks roughly 23.3% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: high) — always confirm before acting.
About the company
Venture Life Group plc develops and commercializes healthcare products in the United Kingdom. The company offers oral healthcare products, including mouthwash, toothpaste, breath freshening capsules, and dental accessories under UltraDEX and Dentyl Dual Action brands; and proctology products, such as Procto-eze Plus range for treating the discomfort caused by haemorrhoids. It also provides dermatology products comprising Myco Clear, a fungal nail cleanser and solution brand; Rosa calma for normalizing and controlling the signs and symptoms related to rosacea; Bioscalin for the cosmetic treatment and prevention of hair loss, hair thinning, and baldness; and skincare solutions under the brand Lubatti. In addition, the company offers women's healthcare products, including BV treatment gel and pessaries; intimate daily wash and soothing cream; moisture gel and plus pessaries; and thrush cream under Balance Activ name. Further, it provides glucose management products, such as Lift Glucos…
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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.