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Hongfa Technology Co (600885) Fair Value & Analysis

Industrials · CN · Market cap 50.5B CNY

Price¥35.23
Fair Value¥23.85
Upside-32.3%
Quality80/100
Evidence: Medium Range ¥17.89 – ¥31.42

Analysis

Hongfa Technology Co (600885) currently trades at ¥35.23, while our model-based Fair Value estimate is ¥23.85 — implying the stock looks roughly 32.3% 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: medium).

About the company

Hongfa Technology Co., Ltd. manufactures and supplies relays, medium and low voltage electrical appliances, high and low voltage complete equipment, connectors, capacitors, precision parts, and automation equipment worldwide. The company offers power, automotive, high voltage dc, latching, signal, high-frequency, reed, industrial, and solid-state relays; relay socket and module; application electronic modules; low-voltage devices, such as control appliance, distribution appliance, and terminal apparatus; and fuse, vacuum interrupters, and automation equipment. It provides film capacitor applications, such as reactive compensation, AC filter, lighting, telecommunication, home appliance, power supply, industrial controls, etc. The company was formerly known as WuHan LiNuo Solar Energy Group Co., Ltd. Hongfa Technology Co., Ltd. was founded in 1984 and is headquartered in Xiamen, 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.