GB Group (GBG) Fair Value & Analysis
Technology · GB · Market cap 515M GBX
Fair value as of: Jun 24, 2026
Analysis
GB Group (GBG) currently trades at p1.88, while our model-based Fair Value estimate is p1.06 — implying the stock looks roughly 43.5% 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: high).
About the company
GB Group plc, together with its subsidiaries, provides identity data intelligence products and services in the United Kingdom, the United States, Australia, and internationally. The company operates in three segments: Location, Identity, and Fraud. It offers Instinct, a fraud risk management platform; ID3global, identity verification solution; mobile intelligence; and Investigate, search subject analysis solution. The company also provides biometric authentication solution; document identity proofing solution; and synthetic identity fraud solution. It serves banking, retail, government, financial services and fintech, lending, gaming and wagering, events, crypto and FX, pensions, public sector, and insurance industries. The company was formerly known as Telme Group plc and changed its name to GB Group plc in February 2002. GB Group plc was incorporated in 1989 and is based in Chester, the United Kingdom.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is GB Group (GBG) undervalued?
What is the fair value of GBG?
What is the quality score of GBG?
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.