Asia File Corporation (7129) Fair Value & Analysis
Industrials · MY · Market cap 242M MYR
Fair value as of: Jun 25, 2026
Analysis
Asia File Corporation (7129) currently trades at 1.28 MYR, while our model-based Fair Value estimate is 2.52 MYR — implying the stock looks roughly 96.9% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Asia File Corporation Bhd., an investment holding company, manufactures and markets filing and stationery products in Malaysia. It operates in Filing Products; and Industrial, Consumer and Food Ware Products segments. The company offers plastic folders, sheet protectors, flat files, filing/storage boxes, lever arch files, ring/presentation binders, clipboards and clip folders, indexes and dividers, Manila files and folders, suspensions files, labels and paper products, desk and office accessories, document presentation products, ring file/binders, envelopes, marker and whiteboard accessories, and other office stationeries. It also manufactures and sells colored paper and boards for filing, educational, and other specialty markets. In addition, the company manufactures and trades in consumer plasticware, and recyclable food ware products. Further, it trades in graphic designing and desktop publishing products. The company sells its products under the ABBAware brand. It serves retaile…
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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.