Philogen S.p.A (PHIL) Fair Value & Analysis
Healthcare · IT · Market cap €906M
Analysis
Philogen S.p.A (PHIL) currently trades at €22.60, while our model-based Fair Value estimate is €166.43 — implying the stock looks roughly 636.4% undervalued today. We read business quality at 95/100 (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
Philogen S.p.A., a biotechnology company, engages in the research and development of drugs for oncology and chronic inflammatory diseases in Italy, Switzerland, the United States, and the European Union. The company develops Nidlegy which is in Phase III clinical trial for the treatment of advanced melanoma and Phase II clinical trial for the treatment of basal cell carcinoma and cutaneous squamous cell carcinoma; Fibromun which is in Phase III clinical trial for the treatment of soft-tissue sarcoma and Phase II clinical trial for the treatment of glioblastoma; Darleukin which is in Phase II clinical trial for the treatment of non-small cell lung cancer; Dekavil which is in Phase II clinical trial for the treatment of chronic inflammatory disorders; and Dodekin which is in Phase I clinical trial for the treatment of various solid tumors. It is also involved in the development of small molecule products, including OncoFAP which is in Phase I clinical trial for the treatment of solid …
Open the full interactive analysis →
Similar stocks
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.