Jiangsu Yangdian Science & Technology Co (301012) Fair Value & Analysis
Technology · CN · Market cap 5.6B CNY
Analysis
Jiangsu Yangdian Science & Technology Co (301012) currently trades at ¥27.72, while our model-based Fair Value estimate is ¥4.38 — implying the stock looks roughly 84.2% overvalued today. We read business quality at 94/100 (high quality), in the Technology 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
Jiangsu Yangdian Science & Technology Co. Ltd. engages in the research and development, production, and sale of energy-saving power transformers, iron cores, and electromagnetic wires in China and internationally. Its products include amorphous alloy transformers, energy-saving silicon steel transformers, amorphous iron cores, silicon steel cores, and electromagnetic wires. The company also offers three-phase distribution transformers comprising oil-immersed silicon steel three-dimensional, amorphous planar, amorphous three-dimensional, and silicon steel planar transformers; single phase transformers, such as single phase pad mounted and single-phase pole-mounted; dry-type transformers; renewable energies transformers; substations; and transformer cores, including silicon steel three-dimensional cores, silicon steel core for single phase and dry-type transformers, silicon steel core for oil immersed transformers, and amorphous three-dimensional and rolled transformer cores. Jiangsu …
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.