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Bangyan Technology Co (688132) Fair Value & Analysis

Technology · CN · Market cap 2.2B CNY

Price¥13.90
Fair Value¥24.33
Upside+75.0%
Quality95/100
Evidence: Low Range ¥18.24 – ¥30.41

Fair value as of: Jun 24, 2026

Analysis

Bangyan Technology Co (688132) currently trades at ¥13.90, while our model-based Fair Value estimate is ¥24.33 — implying the stock looks roughly 75.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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

Bangyan Technology Co., Ltd. offers solutions for information communication and security in the military field in China. The company provides converged communication, ship communication, and information security products, as well as power private network products. The company was founded in 2000 and is based in Shenzhen, China.

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Frequently asked questions

Is Bangyan Technology Co (688132) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥24.33 versus a price of ¥13.90 — about +75% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 688132?
Our 21-model fair value for Bangyan Technology Co is ¥24.33 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥13.90.
What is the quality score of 688132?
Bangyan 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.