Initiator Pharma A/S, a clinical stage life science company, (INIT) Fair Value & Analysis
Healthcare · SE · Market cap 197M SEK
Fair value as of: Jun 24, 2026
Analysis
Initiator Pharma A/S, a clinical stage life science company, (INIT) currently trades at kr 2.78, while our model-based Fair Value estimate is kr 1.94 — implying the stock looks roughly 30.2% overvalued today. We read business quality at 95/100 (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: low).
About the company
Initiator Pharma A/S, a clinical stage life science company, develops drugs targeting unmet medical needs within the central and peripheral nervous system. Its product pipeline includes Pudafensine, a monoamine reuptake inhibitor, which completed phase IIb clinical trial primarily targeting the dopamine system for treatment resistant organic erectile dysfunction, as well as completed phase I to treat neuropathic pain; and IP2018, a monoamine reuptake inhibitor which completed Phase IIa for the treatment of psychogenic erectile dysfunction. The company also develops IP2016, which is in preclinical development for the treatment of depression and pain; and Pudafensine and IP2018, which is in preclinical development to treat female sexual dysfunction. Initiator Pharma A/S was incorporated in 2016 and is headquartered in Copenhagen, Denmark.
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Frequently asked questions
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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.