YY Group (YYGH) Fair Value & Analysis
Consumer Cyclical · US · Market cap $5.5M
Fair value as of: Jun 25, 2026
Analysis
YY Group (YYGH) currently trades at $1.27, while our model-based Fair Value estimate is $1.31 — implying the stock looks roughly 3.1% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Cyclical 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
YY Group Holding Limited, operates as a data and technology-driven company offering AI-enabled workforce management and integrated facility management (IFM) solutions in Singapore, Malaysia, the United Kingdom, the Netherlands, and internationally. The company offers cleaning services that include commercial cleaning for offices and schools; hospitality cleaning for hotels and shopping centers; industrial cleaning, facade cleaning, disinfection, and stewarding services for meetings, incentives, conferences, and exhibitions, as well as banquets; and pest control services. It also provides cleaning robots and machines to enhance cleaning performance by deploying them at designated premises. The company's workforce management segment operates through its proprietary YY Circle platform, which provides workforce planning, scheduling, deployment, and operational optimization solutions for clients in the hospitality, food and beverage, retail, and other service-oriented industries. The pla…
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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.