Warisan TC Holdings (5016) Fair Value & Analysis
Industrials · MY · Market cap 43.3M MYR
Fair value as of: Jun 26, 2026
Analysis
Warisan TC Holdings (5016) currently trades at 0.6500 MYR, while our model-based Fair Value estimate is 1.30 MYR — implying the stock looks roughly 100.0% 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: low) — always confirm before acting.
About the company
Warisan TC Holdings Berhad, an investment holding company, provides travel and car rental, automotive, machinery, and consumer products and services in Malaysia. The company operates through Machinery; Travel and Car Rental; Automotive; and Others segments. Its Travel and Car Rental segment offers inbound and outbound tour, corporate travel, medical and education tourism, airline ticketing, car and coach rental, and chauffeur services. The Automotive segment retails and distributes light and heavy commercial trucks, and pick-up trucks; rents cars and coaches; trades in second hand and pre-owned vehicles; and offers online vehicle auction, and after-sale services, as well as spare parts and accessories for vehicles. The Machinery segment distributes, sells, and rents material handling equipment, forklifts, factory scrubbers and sweepers, excavators, dump trucks, agricultural equipment, golf and turf equipment, air compressors, and lithium-ion batteries; and training services. The Oth…
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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.