Team Internet Group (TIG) Fair Value & Analysis
Communication Services · GB · Market cap 101M GBX
Fair value as of: Jun 25, 2026
Analysis
Team Internet Group (TIG) currently trades at p0.4250, while our model-based Fair Value estimate is p0.2500 — implying the stock looks roughly 41.2% overvalued today. We read business quality at 92/100 (high quality), in the Communication Services 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
Team Internet Group plc provides domain name services. It operates through three segments: Domains, Identity & Software (DIS), Comparison, and Search. The DIS segment conducts business as a distributor of domain names through a network of channel partners, as well as sells domain names and ancillary services to end users, monitoring services to protect brands online, technical and consultancy services to corporate clients and licensing the group's in-house developed registry management platform. The Comparison segment provides product comparison platforms that enable digital consumers to make swift yet well-informed purchasing decisions. This segment also offers high-quality traffic to its partners by connecting the right consumers to their products, creating a better-connected online shopping ecosystem. The Search segment creates privacy-safe AI based customer journeys that help online consumers make informed choices. It operates in the Americas, Ireland, Luxembourg, Germany, rest …
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Team Internet Group (TIG) undervalued?
What is the fair value of TIG?
What is the quality score of TIG?
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.