Trajan Group (TRJNF) Fair Value & Analysis
Healthcare · US · Market cap $61.1M
Fair value as of: Jun 25, 2026
Analysis
Trajan Group (TRJNF) currently trades at $0.4000, while our model-based Fair Value estimate is $0.0900 — implying the stock looks roughly 77.5% overvalued today. We read business quality at 89/100 (high quality), in the Healthcare sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Trajan Group Holdings Limited develops, manufactures, and sells analytical and life science products and devices in Malaysia, Japan, Australia, New Zealand, the United States, Europe, the Middle East, Africa, and India. The company offers analytical products, including syringes, GC columns and septa, inlet liners, rings, and tubing products; and sampling products, comprising septa, caps, liners, well plates and sealing mats, crimping tools, and micro sampling tools, as well as automation systems and consumables. It also provides pathology products, consisting of NBF containers, adhesive and frosted microscope slides, coverslips, microtome blades, biopsy pads, microscope slide storage trays/mailers, microscope slide and cassette storage boxes, histology wax plus, and tissue marking dyes and sets, and MiPlatform, a smartphone adapter; on-line and laboratory instruments and related parts and services; and miniaturized and portable instrumentation, as well as products and services relat…
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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.