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Maxic Technology, Inc (688458) Fair Value & Analysis

Technology · CN · Market cap 4.3B CNY

Price¥40.62
Fair Value¥49.12
Upside+20.9%
Quality95/100
Evidence: Low Range ¥36.84 – ¥61.39

Analysis

Maxic Technology, Inc (688458) currently trades at ¥40.62, while our model-based Fair Value estimate is ¥49.12 — implying the stock looks roughly 20.9% 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

Maxic Technology, Inc. engages in the design and sale of analog and digital-analog hybrid integrated circuits (ICs) in China and internationally. It offers receiver and transmitter wireless charging products; AC-DC products, such as SSR and SR controllers, HV non-isolated CVs, and PFC and PSR controllers; protocol ICs; constant current drivers, including smart, linear, and general LED drivers, as well as DC-DC drivers; optical and medical equipment-related sensors; and interface ICs comprising CAN SBC and transceivers; as well as wireless Soc IC, USB-C/PD fast charging IC, signal chain IC and automotive electronics, etc. The company provides its products for various applications, such as consumer electronics, communication terminal, LED lighting, automotive electronics and manufacturing, smart home, industrial control, medical, and other fields. Maxic Technology, Inc. was founded in 2008 and is headquartered in Beijing, China.

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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.