BT Wealth Industries Public Company (BTW) Fair Value & Analysis
Industrials · TH · Market cap 45.4M THB
Fair value as of: Jun 26, 2026
Analysis
BT Wealth Industries Public Company (BTW) currently trades at 0.0600 THB, while our model-based Fair Value estimate is 0.1080 THB — implying the stock looks roughly 80.0% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
BT Wealth Industries Public Company Limited, together with its subsidiaries, engages in steel product processing and structural steel services for construction and industrial purposes in Thailand. The company offers fabrication works and services. It also provides steel fabrication services for heavy industry sectors, such as oil and gas, power, mining, and infrastructure. In addition, the company offers installation and construction services for EPC contractors and project owners; and equipment and facility rental services for fabricators and constructors, as well as engages in investment activities. BT Wealth Industries Public Company Limited was founded in 1987 and is headquartered in Bangkok, Thailand.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is BT Wealth Industries Public Company (BTW) undervalued?
What is the fair value of BTW?
What is the quality score of BTW?
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.