SoftwareOne Holding (SWONF) Fair Value & Analysis
Technology · US · Market cap $2.2B
Analysis
SoftwareOne Holding (SWONF) currently trades at $9.77, while our model-based Fair Value estimate is $8.71 — implying the stock looks roughly 10.8% 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
SoftwareOne Holding AG, together with its subsidiaries, provides software and cloud solutions in Germany, Austria, Switzerland, Middle East and Africa, Northern Europe, Central and Eastern Europe, the United States of America, Canada, Latin America, and Asia Pacific. The company develops and delivers the technology solutions that modernize applications and software in the cloud. It provides data and AI; application; SAP; and Cloud services; IT portfolio management services, such as application portfolio management, publisher advisory, IT asset management, SaaS management, and sourcing and demand management, as well as workplace licensing and support, workplace AI, workplace productivity, workplace security, and workplace adoption services. It serves large enterprises, corporates, small and medium-sized enterprises, and public sector organizations. It has strategic agreement with ServiceNow to transform IT modernization in the cloud. SoftwareOne Holding AG was founded in 2000 and is …
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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.