Guangzhou Devotion Thermal Technology Co (300335) Fair Value & Analysis
Basic Materials · CN · Market cap 2.6B CNY
Fair value as of: Jun 24, 2026
Analysis
Guangzhou Devotion Thermal Technology Co (300335) currently trades at ¥5.16, while our model-based Fair Value estimate is ¥3.16 — implying the stock looks roughly 38.8% overvalued today. We read business quality at 90/100 (high quality), in the Basic Materials 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
Guangzhou Devotion Thermal Technology Co., Ltd. engages in the provision of clean energy services in China. The company operates through Clean Energy Investment and Operation, New Energy and Clean Energy Application Equipment, and Smart and Comfortable Home Manufacturing and Services, and Financial Leasing and Others segments. The company offers clean energy services, such as heat, cooling, electricity, and new energy and clean energy equipment products. It also provides Little Squirrel gas wall-mounted boiler to home consumption end users for home system solutions, as well as products covering heating, fresh air, water purification, and multi-energy integrated systems areas under the Little Squirrel brand name. In addition, the company is involved in the production and sale of household and industrial boilers, and new energy equipment, as well as production and sales of metal products. Further, it offers capital markets services; laundry services, professional cleaning, and cleanin…
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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.