Raffles Education Limited (RFLFF) Fair Value & Analysis
Consumer Defensive · US · Market cap $81.8M
Fair value as of: Jun 26, 2026
Analysis
Raffles Education Limited (RFLFF) currently trades at $0.0500, while our model-based Fair Value estimate is $0.0550 — implying the stock looks roughly 10.0% undervalued today. We read business quality at 83/100 (high quality), in the Consumer Defensive 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
Raffles Education Limited, an investment holding company, provides education and related services in the regions of ASEAN, North Asia, South Asia, Australasia, Indonesia, and Europe. It operates through Education, Education Facilities Rental Service, and Real Estate Investment & Development segments. The company offers diploma, undergraduate, and postgraduate programs in design discipline which includes animation, digital media, fashion, graphic, interior, jewellery, product, video games, visual communication design, photography, and fashion marketing and management specializations; business discipline comprising accountancy, business administration, commerce, entrepreneurship and small business operation, marketing, supply chain and logistic operations, and tourism and hospitality management specializations; and technology discipline, such as applied electronics and instrumentation, computer science, electronics and communication, electrical engineering, cloud computing and IT secu…
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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.