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Snam S.p.A (SNMRF) Fair Value & Analysis

Utilities · US · Market cap $24.4B

Price$6.93
Fair Value$4.65
Upside-32.9%
Quality95/100
Evidence: High Range $2.44 – $7.03

Analysis

Snam S.p.A (SNMRF) currently trades at $6.93, while our model-based Fair Value estimate is $4.65 — implying the stock looks roughly 32.9% overvalued today. We read business quality at 95/100 (high quality), in the Utilities 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

Snam S.p.A., together with its subsidiaries, engages in the operation of natural gas transport and storage infrastructure. It operates through Natural gas transportation; Natural gas storage; LNG regasification; and Market solutions segments. The company offers natural gas transportation and dispatching services; and owns and manages liquified natural gas (LNG) regasification plants. It also provides natural gas storage services through an integrated group of infrastructure comprising deposits, wells, gas treatment and compression plants, and the operational dispatching systems; and operates storage concessions located in Lombardy, Emilia-Romagna, and Abruzzo. In addition, the company offers energy efficiency solutions for companies, condominiums, tertiary, and public administration sectors; and invests, constructs, develops, and operates biogas and biomethane plants. Further, the company provides technical consulting services; and sells automotive compressed natural gas (CNG) compr…

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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.