Valneva SE (VLA) Fair Value & Analysis
Healthcare · AT · Market cap €503M
Analysis
Valneva SE (VLA) currently trades at €2.30, while our model-based Fair Value estimate is €2.52 — implying the stock looks roughly 9.6% 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
Valneva SE, a specialty vaccine company, develops, manufactures, and commercializes prophylactic vaccines for infectious diseases with unmet needs. It offers IXIARO, an inactivated Vero cell culture-derived Japanese encephalitis vaccine indicated for active immunization against Japanese encephalitis; DUKORAL, an oral vaccine for the prevention of diarrhea caused by Vibrio cholera or heat-labile toxin producing enterotoxigenic Escherichia coli bacterium; and IXCHIQ/ VLA1553, a single-dose, live-attenuated vaccine for the prevention of disease caused by chikungunya virus. The company also develops VLA15, a vaccine candidate against Borrelia, the bacterium that causes Lyme disease; S4V2, a tetravalent bioconjugate vaccine candidate against shigellosis, a diarrheal infection caused by Shigella bacteria; VLA1601, a vaccine candidate targeting the Zika virus, a mosquito-borne viral disease; VLA1554, a vaccine candidate targeting human metapneumovirus; VLA84, a vaccine candidate targeting …
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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.