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Qingdao Richmat Intelligence Technology Inc (301320) Fair Value & Analysis

Industrials · CN · Market cap 2.7B CNY

Price¥14.35
Fair Value¥3.04
Upside-78.8%
Quality95/100
Evidence: High Range ¥2.45 – ¥3.04

Fair value as of: Jun 24, 2026

Analysis

Qingdao Richmat Intelligence Technology Inc (301320) currently trades at ¥14.35, while our model-based Fair Value estimate is ¥3.04 — implying the stock looks roughly 78.8% 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: high).

About the company

Qingdao Richmat Intelligence Technology Inc., together with its subsidiaries, engages in the research, development, manufacturing, and sale of intelligent control and drive system products in China and internationally. The company offers single and dual motor drives, hand controllers, control systems, lifting, lift-up cabinets, massage, power supply, and attachment products. Its products are used in smart homes and offices, healthcare and rehabilitation, and industrial drives applications. The company was incorporated in 2017 and is headquartered in Qingdao, China.

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Frequently asked questions

Is Qingdao Richmat Intelligence Technology Inc (301320) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥3.04 versus a price of ¥14.35 — about −79% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 301320?
Our 21-model fair value for Qingdao Richmat Intelligence Technology Inc is ¥3.04 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥14.35.
What is the quality score of 301320?
Qingdao Richmat Intelligence Technology Inc 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.