Rosslyn Data Technologies plc (RDT) Fair Value & Analysis
Technology · GB · Market cap 2.2M GBX
Fair value as of: Jun 26, 2026
Analysis
Rosslyn Data Technologies plc (RDT) currently trades at p0.0185, while our model-based Fair Value estimate is p0.0169 — implying the stock looks roughly 8.5% 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: low).
About the company
Rosslyn Data Technologies plc, together with its subsidiaries, provides data analytics solutions in the United Kingdom, Europe, and North America. The company offers Rosslyn, a cloud-based software as a service platform that incorporates data analytics software, data capture, data mining, and workflow management; extracts, transforms, and loads data; supplier enrichment toolset for real time updates to supplier data; and AICE, an AI-powered classification engine that enables accurate and high-speed categorization of spend data. It also provides visual dashboards; generates actionable insights to highlight risks and opportunities to procurement teams; community and third-party benchmarking; and IniTrack, a tracker that provides a unified platform to plan, track, and report on initiatives. The company was formerly known as Rosslyn Analytics Limited and changed its name to Rosslyn Data Technologies plc in April 2014. Rosslyn Data Technologies plc was founded in 2007 and is headquartere…
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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.