State Grid Yingda Co (600517) Fair Value & Analysis
Industrials · CN · Market cap 28.2B CNY
Analysis
State Grid Yingda Co (600517) currently trades at ¥5.20, while our model-based Fair Value estimate is ¥8.72 — implying the stock looks roughly 67.7% undervalued today. We read business quality at 81/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
State Grid Yingda Co.,Ltd. engages in the electrical, trust, securities, futures, and carbon asset businesses in China. It offers electrical distribution transformers, amorphous iron cores, integrated substations, primary and secondary deep integration equipment, C-GIS, gas inflatable cabinets, lightning arresters, AC and DC series bushings, insulating poles and towers, nano aluminum alloy fittings, insulators, lightning monitoring and early warning technology, and engineering services. The company also provides operation and maintenance services for power grids and low-carbon energy-saving solutions; and high-voltage testing and integrated energy services, as well as constructs power transmission and distribution network projects. In addition, it is involved in the trust activities; securities business, such as buying and selling of securities, margin financing and securities lending, investment banking, and asset management; futures business activities; factoring activities; and c…
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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.