Qingdao TGOOD Electric Co (300001) Fair Value & Analysis
Industrials · CN · Market cap 41.2B CNY
Analysis
Qingdao TGOOD Electric Co (300001) currently trades at ¥40.36, while our model-based Fair Value estimate is ¥24.73 — implying the stock looks roughly 38.7% overvalued today. We read business quality at 90/100 (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
Qingdao TGOOD Electric Co., Ltd. engages in the intelligent manufacturing and integrated services; and electric vehicle charging network in China and internationally. The company offers high, medium, and low voltage products; electric vehicle (EV) charging networks; oil- and dry-type transformers; smart microgrid carports; and prefabricated, mobile trailer, and skid substations, as well as renewable energy step-up and smart integrated kiosk. It also provides solutions for renewable energy, utility, EV charging network, rail transport, oil and gas, mining, and microgrid systems, as well as light industry, industrial automation and control systems market, data center, and industry park construction. In addition, the company is involved in integrated leasing business, tourism management and other consulting services, charging module maintenance protection, and cloud platform business. Qingdao TGOOD Electric Co., Ltd. was founded in 2004 and is based in Qingdao, China.
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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.