Ambarella, Inc (AMBA) Fair Value & Analysis
Technology · US · Market cap $3.2B
Analysis
Ambarella, Inc (AMBA) currently trades at $65.51, while our model-based Fair Value estimate is $40.68 — implying the stock looks roughly 37.9% overvalued today. We read business quality at 97/100 (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
Ambarella, Inc. develops low-power system-on-a-chip, semiconductors, and software for edge and physical artificial intelligence, applications, and intelligent automation. The company's system-on-a-chip (SOC) integrates third generation CVflow technology with advanced video processing, image signal processing, audio processing, and system control functions on a single chip. It also offers central domain controllers, CVflow SoCs, AI neural processors, vision processor SoCs, high-definition radars, and serializer/deserializers, as well as licenses software modules. The company's solutions are used in automotive video recorders, electronic mirrors, front advanced driver assistance system camera, AI Telematics Systems, and cabin monitoring system and driver monitoring system cameras in automotive field; central domain controllers for autonomous vehicles in autonomy; enterprise and public class, and home security cameras in the field of IoT; and enterprise, home, public spaces, and consum…
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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.