HNAC Technology Co (300490) Fair Value & Analysis
Industrials · CN · Market cap 6.0B CNY
Analysis
HNAC Technology Co (300490) currently trades at ¥15.12, while our model-based Fair Value estimate is ¥24.16 — implying the stock looks roughly 59.8% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.
About the company
HNAC Technology Co., Ltd., together with its subsidiaries, provides intelligent control software and hardware products and system solutions in China and internationally. The company offers energy products, including battery packs, zero carbon cabins, charging piles, energy storage converters, and EMS, as well as residential, commercial, and industrial energy storage systems; hydropower products, such as hydraulic turbines, turbine inlet valves, speed regulators, generators, and excitation systems; mechanical and electrical equipment comprising microcomputer protection measurement and control devices, monitoring and protection system devices, medium and high voltage switchgears, AC&DC systems, and SCADA systems; and measurement meters. It also provides engineering contractor services for new energy, hydropower station, substation, pump station, and water treatment projects; and operation and maintenance services for power station, hydraulic, renewable energy, water plant, and distrib…
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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.