Iveda Solutions, Inc (IVDA) Fair Value & Analysis
Industrials · US · Market cap $5.0M
Fair value as of: Jun 25, 2026
Analysis
Iveda Solutions, Inc (IVDA) currently trades at $0.4250, while our model-based Fair Value estimate is $0.3900 — implying the stock looks roughly 8.2% 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: low).
About the company
Iveda Solutions, Inc. provides artificial intelligence (AI) driven video surveillance solutions and a robust suite of Internet of Things (IoT) platforms that power digital transformation for cities and commercial clients internationally. It offers IvedaAI, a deep-learning video analytics software; and Sentir video surveillance system. It also provides Cerebro IoT Platform, a software technology platform that integrates a multitude of disparate systems for central access and management of applications, subsystems, and devices; IvedaSPS, a smart power solution utilizing its Cerebro IoT platform; Utilus smart pole solution that consists of power and Internet with a communication network for the access and management of sensors and devices; vumastAR, an AI vision software that uses video taken on IP cameras, AR glasses, Androids, and tablets to analyze and process data in real-time; and IvedaXpress, a system for pre-existing IP cameras and AI analytics without the need for large servers…
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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.