Sichuan Injet Electric Co (300820) Fair Value & Analysis
Industrials · CN · Market cap 15.8B CNY
Analysis
Sichuan Injet Electric Co (300820) currently trades at ¥79.40, while our model-based Fair Value estimate is ¥21.06 — implying the stock looks roughly 73.5% overvalued today. We read business quality at 92/100 (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
Sichuan Injet Electric Co., Ltd. engages in the research and development, design, and manufacturing of industrial power equipment and new energy vehicle charging piles in China. The company offers power controllers; general AC/DC power supply products; PDB water-cooled and PDA air-cooled programmable power supply products; RF/sputtering power supply products and series matchers; induction power products; induction power products; high-voltage DC power module and supply, solid state modulators, and microwave power products; and electric fusion welding machines, harmonic control, motor soft starter, and complete control systems. Its products are used in PV, sapphire industry, ferrous metallurgy, glass fiber industry, special power industry, industrial electric furnace, and other industry. The company also sells its products to the United States, the European Union, Japan, South Korea, India, and internationally. Sichuan Injet Electric Co., Ltd. was founded in 1996 and is based in Deya…
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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.