Times China Holdings (TMPPF) Fair Value & Analysis
Real Estate · US · Market cap $149M
Fair value as of: Jun 26, 2026
Analysis
Times China Holdings (TMPPF) currently trades at $0.0500, while our model-based Fair Value estimate is $0.0875 — implying the stock looks roughly 75.0% undervalued today. We read business quality at 80/100 (high quality), in the Real Estate 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: medium) — always confirm before acting.
About the company
Times China Holdings Limited, an investment holding company, operates as a property developer in the People's Republic of China. It operates through Property Development, Urban Redevelopment Business, and Property Leasing segments. The Property Development segment develops and sells residential and commercial properties. Its Urban Redevelopment Business segment is involved in the sale of land held for development and other related activities, as well as redevelopment of old towns, factories, and villages. The Property Leasing segment engages in the development, leasing, and sub-leasing of commercial properties owned by the company or independent third parties. It also provides money lending, property management, and consulting management services. The company was formerly known as Times Property (Holdings) Co., Limited and changed its name to Times China Holdings Limited in February 2018. Times China Holdings Limited was founded in 1999 and is headquartered in Guangzhou, the People'…
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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.