Xinyi Glass Holdings (XYIGF) Fair Value & Analysis
Basic Materials · US · Market cap $5.5B
Analysis
Xinyi Glass Holdings (XYIGF) currently trades at $1.25, while our model-based Fair Value estimate is $1.13 — implying the stock looks roughly 9.6% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Xinyi Glass Holdings Limited, an investment holding company, produces and sells float, automobile, construction, and other glass products for commercial and industrial applications. The company operates through three segments: Float Glass, Automobile Glass, and Architectural Glass. It provides automobile rubber and plastic components; manufactures electronic glass, plastic products, and low-e products; trades in automobile glass; and engages in the research and trading of glass, as well as mining activities. The company also offers logistic and related services; supply chain services; sells solar power; automatic machines for solar glass factories and other related industries; and holds properties and car parks. It serves automobile glass manufacturing, wholesale, and distribution; automobile repairs and maintenance; car manufacturing; curtain wall design, engineering, and installing; architectural and furniture glass manufacturing; electronic, industrial, and household appliance ma…
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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.