KPS AG (KSC) Fair Value & Analysis
Technology · DE · Market cap €13.3M
Fair value as of: Jun 25, 2026
Analysis
KPS AG (KSC) currently trades at €0.2860, while our model-based Fair Value estimate is €0.6900 — implying the stock looks roughly 141.3% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: medium) — always confirm before acting.
About the company
KPS AG provides business transformation consulting and process optimization services for the retail and consumer goods sectors in Germany, Scandinavia, the United Kingdom, Switzerland, Benelux, Spain, and internationally. It operates in three segments: Management Consulting/Transformation Consulting, System Integration, and Products/Licenses. The company offers advisory services on strategic, process, application, and technology issues relating to digital transformation. It also sells software licenses, maintenance contracts, and hardware components as a certified system house and sales partner. In addition, the company offers enterprise resource planning solutions (ERP) comprising SAP S/4HANA transformation, SAP cloud ERP implementation, and KPS Instant Platform, as well as AI, data, and analytics; finance transformation solutions consisting of CFO agenda, invoice management, smart retail analytics, enterprise information management, and SAP Concur; customer experience solutions, i…
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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.