TECO Electric & Machinery Co (1504) Fair Value & Analysis
Industrials · TW · Market cap 184B TWD
Analysis
TECO Electric & Machinery Co (1504) currently trades at 71.90 TWD, while our model-based Fair Value estimate is 36.58 TWD — implying the stock looks roughly 49.1% overvalued today. We read business quality at 88/100 (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
TECO Electric & Machinery Co., Ltd. engages in the production, sales and installation of various mechanical equipment in Taiwan, the United States, Mainland China, and internationally. It offers electrical equipment products and transformers; power management system, such as mobile prefabricated electrical platform, EV charger, and charging pile power integration hub; low, medium, and high voltage motors; and electric vehicle powertrain products, including high-performance EV motors and drives, electric UAV powertrain, light electric UAV powertrain, and EV vessel powertrain. The company also provides gear reducer products; robotic joint module system; industrial drive systems, and industrial control and automation systems; commercial and home air conditioning products; and smart home appliances. In addition, it offers energy services comprising green energy engineering, electrification, power plant operation and management, industrial control automation, smart commercial HVAC energy…
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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.