Yanlord Land Group (YLDGF) Fair Value & Analysis
Real Estate · US · Market cap $1.0B
Fair value as of: Jun 25, 2026
Analysis
Yanlord Land Group (YLDGF) currently trades at $0.5248, while our model-based Fair Value estimate is $0.6200 — implying the stock looks roughly 18.1% undervalued today. We read business quality at 87/100 (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
Yanlord Land Group Limited is a real estate developer. It is focusing on developing high-end fully-fitted residential, commercial and integrated property projects in strategically selected key and high-growth cities in the PRC and Singapore. Yanlord has been listed on the Mainboard of the Singapore Exchange since June 2006. Since Yanlord's foray into the PRC property market in 1993, it has successfully developed a number of largescale residential property developments with international communities of residents. Building on its established track record for developing high-end residential property developments in prime locations within affluent cities of the PRC, the "Yanlord" name has been developed into a premium brand synonymous with quality within the property development industry of the PRC. Typically, Yanlord's residential property developments are characterised by large-scale, multi-phased projects designed and built by international architects, leading designers and reputable…
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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.