SysGroup plc (SYS) Fair Value & Analysis
Technology · GB · Market cap 15.1M GBX
Fair value as of: Jun 26, 2026
Analysis
SysGroup plc (SYS) currently trades at p0.1800, while our model-based Fair Value estimate is p0.1900 — implying the stock looks roughly 5.6% 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: low) — always confirm before acting.
About the company
SysGroup plc, together with its subsidiaries, provides managed information technology services specializing in the delivery of cloud, data, and security services to power AI and ML transformation in the United Kingdom and internationally. It operates in two segments, Managed IT Services and Value-Added Resale. The company offers analytics solutions, including AI and machine learning, data strategy and governance, data management, and ML model implementation and support; connectivity solutions, such as managed connectivity, business internet and leased lines, and WAN, SD-WAN, SASE/ZTNA, as well as 5G and unified communications. It also provides cyber security solutions; hosting-infrastructure solutions comprising cloud infrastructure, on-premises and hybrid solutions, networking and connectivity, and storage and data management; cloud solutions consisting of Microsoft Azure, Amazon Web Services, SysCloud, and Microsoft 365; and protection solutions, including data backup and disaster…
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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.