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But'one Information Corporation (600455) Fair Value & Analysis

Technology · CN · Market cap 1.5B CNY

Price¥23.60
Fair Value¥13.09
Upside-44.5%
Quality80/100
Evidence: Medium Range ¥9.16 – ¥17.01

Fair value as of: Jun 24, 2026

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Analysis

But'one Information Corporation (600455) currently trades at ¥23.60, while our model-based Fair Value estimate is ¥13.09 — implying the stock looks roughly 44.5% overvalued today. We read business quality at 80/100 (high quality), in the Technology 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

But'one Information Corporation,Xi'an engages in the higher education and computer information technology businesses in China. The company operates Xi'an Jiaotong University City College that provides higher education. The company was founded in 1994 and is based in Xi'an, China.

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Frequently asked questions

Is But'one Information Corporation (600455) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥13.09 versus a price of ¥23.60 — about −45% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600455?
Our 21-model fair value for But'one Information Corporation is ¥13.09 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥23.60.
What is the quality score of 600455?
But'one Information Corporation has a Quality Score of 80/100, 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.