Hiconics Eco-energy Technology Co (300048) Fair Value & Analysis
Industrials · CN · Market cap 6.1B CNY
Analysis
Hiconics Eco-energy Technology Co (300048) currently trades at ¥5.09, while our model-based Fair Value estimate is ¥1.17 — implying the stock looks roughly 77.0% overvalued today. We read business quality at 93/100 (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
Hiconics Eco-energy Technology Co., Ltd. engages in green energy solutions, household energy storage and photovoltaic inverters, and high-voltage variable frequency drives (VFDs) converters business in China and internationally. It operates through High Voltage Frequency Converters, Photovoltaic EPC, Residential Energy Storage, and Others segments. The company offers photovoltaic solutions, including residential, commercial, and industrial photovoltaic solutions; Midea PV grid-connected inverters; wind power generation; and power trading. It also provides energy storage solutions comprising residential integrated energy storage systems, photovoltaic inverters, micro-inverters, and charging products, as well as high-voltage frequency converters. The company was formerly known as Hiconics Drive Technology Co., Ltd. and changed its name to Hiconics Eco-energy Technology Co., Ltd. in December 2016. Hiconics Eco-energy Technology Co., Ltd. was founded in 2003 and is headquartered in Beij…
Open the full interactive analysis →
Similar stocks
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.