Tungray Technologies Inc (TRSG) Fair Value & Analysis
Industrials · US · Market cap $25.8M
Fair value as of: Jun 25, 2026
Analysis
Tungray Technologies Inc (TRSG) currently trades at $1.58, while our model-based Fair Value estimate is $0.5800 — implying the stock looks roughly 63.2% overvalued today. We read business quality at 94/100 (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: low).
About the company
Tungray Technologies Inc., an engineer-to-order company, through its subsidiaries, provides tooling solutions and customized industrial manufacturing solutions in China and Singapore. It offers customized industrial test and tooling solutions; welding equipment manufacturing; and direct drive and linear direct current motors. The company also designs, develops, and manufactures non- standard equipment, such as automated assembly equipment, precision testing equipment, tooling fixtures, etc., as well as researches, develops, designs, and manufactures induction brazing and hardening equipment, automatic welding equipment, linear motors, and DD motors; researches, develops, and sells intelligent robots and storage equipment; and installs industrial machinery and equipment, and mechanical engineering works. It provides its services to original equipment manufacturers in the semiconductors, printers, electronics, and home appliances sectors. The company was incorporated in 2022 and is he…
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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.