Jiangsu Yueda Investment Co (600805) Fair Value & Analysis
Industrials · CN · Market cap 3.8B CNY
Analysis
Jiangsu Yueda Investment Co (600805) currently trades at ¥4.55, while our model-based Fair Value estimate is ¥0.7400 — implying the stock looks roughly 83.7% overvalued today. We read business quality at 84/100 (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: medium).
About the company
Jiangsu Yueda Investment Co., Ltd., together with its subsidiaries, engages in the new energy, new materials, and smart manufacturing businesses in China and internationally. The company constructs photovoltaic, wind power, hydrogen energy, and energy storage plants; and offers passenger car, road transport, thermal power, and financial services. It also provides lithium manganese iron phosphate positive electrode material and manganese-based positive electrode materials for sodium-ion batteries. In addition, the company manufactures a variety of products, including agricultural equipment, tractors, agricultural machinery, garbage trucks, multi-functional cleaning and sweeping trucks, isolation fence cleaning vehicles, high-pressure cleaning vehicles, restaurant garbage trucks, side-mounted garbage trucks, electric sanitation vehicles, special vehicles, machine tools, machining production lines, and home textile products. The company was founded in 1995 and is headquartered in Yanch…
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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.