Jiangsu Nonghua Intelligent Agriculture Technology Co. (000816) Fair Value & Analysis

Industrials · CN · Market cap 3.6B CNY

Price¥2.44

Fair Value¥1.25

Upside-48.8%

Quality80/100

Evidence: Low Range ¥0.9900 – ¥1.52

Analysis

Jiangsu Nonghua Intelligent Agriculture Technology Co. (000816) currently trades at ¥2.44, while our model-based Fair Value estimate is ¥1.25 — implying the stock looks roughly 48.8% overvalued today. We read business quality at 80/100 (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: low).

About the company

Jiangsu Nonghua Intelligent Agriculture Technology Co.ltd develops and sells power equipment in China. The company offers single-cylinder and multi-cylinder diesel engines, reducer, and casting products; General gasoline engines, power, generator sets, and water pumps; mining products, including zinc, copper, and iron concentrates; garden machinery; and smart hardware equipment and software platforms for agricultural industry, as well as related system design and planning services, including agricultural information services, production management systems, agricultural data applications, and other products and services. The company was formerly known as Jiangsu Jianghuai Engine Co., Ltd. and changed its name to Jiangsu Nonghua Intelligent Agriculture Technology Co.ltd in June 2015. The company was founded in 1945 and is based in Yancheng, China.

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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.