Fairvalue-Calculator Fairvalue-Calculator

SigmaStar Technology Ltd (301536) Fair Value & Analysis

Technology · CN · Market cap 46.5B CNY

Price¥113.52
Fair Value¥18.21
Upside-84.0%
Quality93/100
Evidence: High Range ¥13.33 – ¥23.09

Analysis

SigmaStar Technology Ltd (301536) currently trades at ¥113.52, while our model-based Fair Value estimate is ¥18.21 — implying the stock looks roughly 84.0% overvalued today. We read business quality at 93/100 (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: high).

About the company

SigmaStar Technology Ltd. engages in the design, development, and sale of edge AI system on a chip (SoC) in China. It offers intelligent vision solutions for use in professional security, civil security, home consumer surveillance cameras, and other industries; ADAS intelligent perception computing chip solutions for use in driving, parking, and smart cockpit applications; and chip solution for audio and video, display, AI, and IoT in smart door lock, building intercom, and home display. The company also provides chip solution for access control, audio-video conference, and IP phone applications; and chip solutions for industrial scenarios and industrial-grade chip design in industrial HMIs, gateways, and sweep applications. SigmaStar Technology Ltd. was founded in 2017 and is based in Xiamen, China.

Open the full interactive analysis →

Similar stocks

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.