QTC Energy Public Company (QTC) Fair Value & Analysis
Industrials · TH · Market cap 1.6B THB
Fair value as of: Jun 24, 2026
Analysis
QTC Energy Public Company (QTC) currently trades at 4.54 THB, while our model-based Fair Value estimate is 1.78 THB — implying the stock looks roughly 60.8% 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: high).
About the company
QTC Energy Public Company Limited, together with its subsidiaries, engages in the manufacture, sale, and distribution of electric transformers in Thailand and internationally. The company offers oil and dry type, and super low loss transformer products; EV chargers and accessories; and solar products, such as inverters, mono-facia, bi-facial, cables and connectors, and accessories. It also provides scheduled checks and maintenance, transformer repairs and maintenance, transformer oil fill, and transformer rental services; installation of electrical equipment and solar panels; sales and installation of electrical equipment, including PV panels, and solar inverters and cell equipment. In addition, the company is involved in the import and distribution of products and equipment relating to solar cells; and planning the installation, maintenance, inspection, and product and installation warranty. The company was formerly known as QTC Transformers Co., Ltd. and changed its name to QTC En…
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Frequently asked questions
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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.