Microsoft Corporation (MSF) Fair Value & Analysis
Technology · DE · Market cap €2.8T
Analysis
Microsoft Corporation (MSF) currently trades at €324.60, while our model-based Fair Value estimate is €273.67 — implying the stock looks roughly 15.7% overvalued today. We read business quality at 95/100 (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
Microsoft Corporation develops and supports software, services, devices, and solutions worldwide. The Productivity and Business Processes segment offers Microsoft 365 commercial, enterprise mobility + security, windows commercial, power BI, exchange, sharepoint, Microsoft teams, security and compliance, and copilot; Microsoft 365 commercial products, such as Windows commercial on-premises and office licensed services; Microsoft 365 consumer products and cloud services, including Microsoft 365 consumer subscriptions, office licensed on-premises, and other consumer services; LinkedIn; dynamics products and cloud services, such as dynamics 365, cloud-based applications, and on-premises ERP and CRM applications. Its Intelligent Cloud segment provides Server products and cloud services comprising Azure and other cloud services, GitHub, Nuance Healthcare, virtual desktop offerings, and other cloud services; server products, including SQL and windows server, visual studio and system center…
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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.