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SeSa S.p.A (SESPF) Fair Value & Analysis

Technology · US · Market cap $1.6B

Price$104.00
Fair Value$100.76
Upside-3.1%
Quality92/100
Evidence: High Range $75.57 – $125.95

Analysis

SeSa S.p.A (SESPF) currently trades at $104.00, while our model-based Fair Value estimate is $100.76 — implying the stock looks roughly 3.1% overvalued today. We read business quality at 92/100 (high quality), in the Technology 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

SeSa S.p.A., together with its subsidiaries, distributes value-added information technology (IT) software and technologies in Italy and internationally. It operates through four segments: Corporate; ICT Value Added Solutions; Digital Green VAS; Software and System Integration; and Business Services segments. It provides technological solutions, digital services, and business applications; cloud technology services, cyber security, proprietary ERP and vertical solutions, enterprise platform, digital workspace, data/AI, and digital experience; and digital platforms, vertical banking applications, and security and consulting solutions. It also provides value added solutions, such as public and hybrid cloud, data center, and cyber security technology solutions; data/AI solutions; device and digital workspace solutions; networking and collaboration solutions; and management and reconditioning services of IT products. SeSa S.p.A. was founded in 1973 and is headquartered in Empoli, Italy. …

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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.