Universal Electronics Inc (UEIC) Fair Value & Analysis
Technology · US · Market cap $52.7M
Fair value as of: Jun 25, 2026
Analysis
Universal Electronics Inc (UEIC) currently trades at $4.25, while our model-based Fair Value estimate is $13.31 — implying the stock looks roughly 213.2% 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: medium) — always confirm before acting.
About the company
Universal Electronics Inc. designs, develops, manufactures, ships, and supports home entertainment control products, technology and software solutions, climate control solutions, wireless sensors and smart home control products, and audio-video accessories. It offers radio frequency (RF) capable and voice-enabled universal remote control products; and low-power RF and energy-harvesting microcontrollers, and embedded and cloud software to video service providers and consumer electronics original equipment manufacturers (OEMs), as well as distributes a portfolio of replacement remote controls, free-to-air antennas, and television and soundbar wall mounts directly to retailers. The company also provides wireless and wired controllers, smart thermostats and connected peripherals for sensing and smart energy management to OEM customers, hotels, utilities, and system integrators; proprietary and standards-based RF wireless remote controls and sensor for residential security, safety, and h…
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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.