AdvancedAdvT Limited (ADVT) Fair Value & Analysis
Technology · GB · Market cap 210M GBX
Fair value as of: Jun 26, 2026
Analysis
AdvancedAdvT Limited (ADVT) currently trades at p1.55, while our model-based Fair Value estimate is p1.06 — implying the stock looks roughly 31.6% 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
AdvancedAdvT Limited engages in the provision of software solutions in Europe, the United Kingdom, North America, and internationally. It offers business solutions and healthcare compliance; and human capital management. The company also operates financial management software, healthcare intelligence compliance and accreditation software, resource planning, talent management software, as well as offers workforce management software services. In addition, it operates machine-learning AI based intelligent process automation platform. AdvancedAdvT Limited was formerly known as Marwyn Acquisition Company I Limited and changed its name to AdvancedAdvT Limited in March 2021. The company was incorporated in 2020 and is headquartered in London, the United Kingdom.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is AdvancedAdvT Limited (ADVT) undervalued?
What is the fair value of ADVT?
What is the quality score of ADVT?
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.