PT Trimuda Nuansa Citra Tbk, (TNCA) Fair Value & Analysis
Industrials · ID · Market cap 58.2B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Trimuda Nuansa Citra Tbk, (TNCA) currently trades at 140.00 IDR, while our model-based Fair Value estimate is 49.54 IDR — implying the stock looks roughly 64.6% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
PT Trimuda Nuansa Citra Tbk, together with its subsidiary, PT GED Lintas Indonesia, engages in the postal, courier, and logistics businesses in Indonesia. The company offers GED courier services, which provide shipping through land, sea, and air deliveries; warehouse and fulfillment services; charter/trucking services, which include distribution supported by fleet management systems and real-time GPS monitoring systems; mover services, comprising cargo relocation solutions for homes, offices, and warehouses; and hand-carry delivery solutions. It also provides mailing room services; dedicated courier services; GED international shipping services that consist of air and sea transportation; GED special handling services for delivering dangerous goods, medical shipments, and valuable goods; and cold storage and reefer services for temperature-sensitive products, including pharmaceuticals, frozen food, and vaccines. In addition, the company provides postal services, including written com…
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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.