A2A S.p.A (A2A) Fair Value & Analysis
Utilities · IT · Market cap €7.1B
Analysis
A2A S.p.A (A2A) currently trades at €2.28, while our model-based Fair Value estimate is €3.13 — implying the stock looks roughly 37.0% undervalued today. We read business quality at 95/100 (high quality), in the Utilities 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
A2A S.p.A. engages in the production, sale, and distribution of gas and electricity, and district heating in Italy and internationally. It generates electricity through hydroelectric, thermoelectric, photovoltaic, and wind plants; and sells and distributes gas. The company also engages in the production and sale of heat produced through district heating networks; waste management activities, including collection and street sweeping, treatment, disposal, and recovery of materials and energy; and the construction and management of integrated waste disposal plants and systems. In addition, it offers integrated water cycle management services; and technical consultancy services relating to energy efficiency certificates. Further, the company is involved in the management of public lighting systems and street lights, and water purification and sewer activities, as well as offers garbage collection, street sweeping, video surveillance, energy efficiency, and electric mobility services. A2…
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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.