Road King Infrastructure Limited (RKGXF) Fair Value & Analysis
Real Estate · US · Market cap $171M
Fair value as of: Jun 26, 2026
Analysis
Road King Infrastructure Limited (RKGXF) currently trades at $0.0800, while our model-based Fair Value estimate is $0.0849 — implying the stock looks roughly 6.1% undervalued today. We read business quality at 88/100 (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: low) — always confirm before acting.
About the company
Road King Infrastructure Limited, an investment holding company, invests in, develops, operates, and manages property projects and toll roads in Mainland China and Hong Kong. It operates through Property Development and Investment, Toll Road, and Investment and Asset Management segments. The company engages in the development, rental, and sale of residential and commercial properties. It also engages in the property fund investments and cultural, and tourism businesses. In addition, the company provides financial and management services. Further, it invests in and operates a toll road portfolio of four expressways in Indonesia spanning approximately 335 kilometers. As of December 31, 2025, it had a land reserve of approximately 2,200,000 square meters primarily located in Mainland China and Hong Kong. Road King Infrastructure Limited was founded in 1994 and is based in Tsim Sha Tsui, Hong Kong.
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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.