Fintel Plc (FNTL) Fair Value & Analysis
Industrials · GB · Market cap 195M GBX
Fair value as of: Jun 24, 2026
Analysis
Fintel Plc (FNTL) currently trades at p1.69, while our model-based Fair Value estimate is p1.27 — implying the stock looks roughly 24.6% overvalued today. We read business quality at 94/100 (high quality), in the Industrials 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
Fintel Plc engages in the provision of fintech and support services to the retail financial services sector in the United Kingdom. It operates through two segments, Software & Data and Services. The Software & Data segment provides intermediary software, financial product and market data, and product research and ratings; as well as marketing, sponsorships, and consultancy to financial institutions. The Services segment provides regulatory and business support and integrated financial technology; manage distribution and market research and insight; and residential surveys and professional valuation services. It also provides mortgage club facilities; asset and group management vehicles; trade association; business services training; bookkeeping activities; financial services and research; ready-made software development; independent adviser planning and research software; due diligence; conference organizers; compliance and investment planning tool provider; independent investment r…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Fintel Plc (FNTL) undervalued?
What is the fair value of FNTL?
What is the quality score of FNTL?
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.