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HNA Technology Co (600751) Fair Value & Analysis

Industrials · CN · Market cap 9.4B CNY

Price¥3.15
Fair Value¥1.40
Upside-55.6%
Quality95/100
Evidence: Medium Range ¥0.9800 – ¥1.48

Fair value as of: Jun 24, 2026

Analysis

HNA Technology Co (600751) currently trades at ¥3.15, while our model-based Fair Value estimate is ¥1.40 — implying the stock looks roughly 55.6% overvalued today. We read business quality at 95/100 (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

HNA Technology Co.,Ltd., through its subsidiaries, operates dry bulk shipping routes in Southeast Asia, Australia, and the Americas. The company is involved in commodity trading, equity investment, and property management. The company was formerly known as Tianjin Tianhai Investment Co., Ltd and changed its name to HNA Technology Co.,Ltd. in April 2018. HNA Technology Co.,Ltd. was founded in 1992 and is based in Tianjin, China.

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Frequently asked questions

Is HNA Technology Co (600751) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥1.40 versus a price of ¥3.15 — about −56% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600751?
Our 21-model fair value for HNA Technology Co is ¥1.40 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥3.15.
What is the quality score of 600751?
HNA Technology Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.