WANG & LEE GROUP, Inc (WLGSF) Fair Value & Analysis
Industrials · US · Market cap $4.0K
Fair value as of: Jun 26, 2026
Analysis
WANG & LEE GROUP, Inc (WLGSF) currently trades at $0.0060, while our model-based Fair Value estimate is $0.0060 — implying the stock looks roughly 0.8% undervalued today. We read business quality at 88/100 (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
WANG & LEE GROUP, Inc., through its subsidiary, operates as a construction contractor in Hong Kong and Mainland China. It engages in the contract engineering, installation, and out-fitting activities for low voltage electrical systems, mechanical ventilation and air-conditioning systems, fire safety systems, and water supply and sewage disposal systems for the public and private sectors. The company also offers fire services, which includes fire prevention, detection, suppression and extinguishing systems, and plumbing and drainage systems. It serves small startups and large companies, as well as private individuals, offices, factories, shopping malls, hotels, hospitals, schools and educational institutes, theme parks, construction companies, and property developers, as well as the HK SAR government. The company was founded in 1981 and is based in Kwun Tong, Hong Kong. WANG & LEE GROUP, Inc. operates as a subsidiary of Wang & Lee Brothers, Inc.
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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.