BlueVenture Group (BVG) Fair Value & Analysis
Technology · TH · Market cap 716M THB
Fair value as of: Jun 24, 2026
Analysis
BlueVenture Group (BVG) currently trades at 1.57 THB, while our model-based Fair Value estimate is 2.79 THB — implying the stock looks roughly 77.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
BlueVenture Group Public Company Limited provides software solutions in the motor claim industry in Thailand. The company offers AI solutions for motor claims management comprising AI Review for use in automating claims settlement process; and AI Estimate for visual assessments to understand damage and accelerate claims. It also provides claim notification suite, such as M-Survey, a system that combines a platform between web applications and mobile apps; e-Survey, a system that helps surveyors to collect relevant information at the accident scene; and CarMate, a mobile application that includes services for various vehicle usage. In addition, the company offers claim settlement suite, including e-Claim, an auto repair claim system; e-Part, an auto parts ordering system spare part management software between insurance companies and parts stores; and e-Auction, a vehicle auction system. Further, it provides garage management solutions comprising e-Catalogue that helps garages to find…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is BlueVenture Group (BVG) undervalued?
What is the fair value of BVG?
What is the quality score of BVG?
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.