Novolog (Pharm-Up 1966) Ltd (NVLG) Fair Value & Analysis
Healthcare · Il · Market cap 413M ILA
Fair value as of: Jun 24, 2026
Analysis
Novolog (Pharm-Up 1966) Ltd (NVLG) currently trades at 0.7640 ILA, while our model-based Fair Value estimate is 0.5500 ILA — implying the stock looks roughly 28.0% 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
Novolog (Pharm-Up 1966) Ltd provides healthcare services in Israel. The company operates through three divisions: Logistics, Healthcare Services, and Digital. The Logistics division engages in the import and distribution of pharmaceuticals and medical products; logistics of clinical trials and related services; provision of pharmaceutical services to customers; and sterilization and validation processes of consumable medical equipment. The Healthcare Services division provides personalized medicine, medical and diagnostic laboratory, and other medical services to patients, health organizations, insurance companies, multinational companies, and government bodies. The Digital division identifies and develops technological tools for health services; deals with making medical information accessible to the public through medical websites; promotes digital presence for clinics, doctors therapists, and medical bodies; provides services and management tools; and operates and markets digital…
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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.