Baylin Technologies Inc (BYL) Fair Value & Analysis
Technology · CA · Market cap C$42.8M
Fair value as of: Jun 24, 2026
Analysis
Baylin Technologies Inc (BYL) currently trades at C$0.3600, while our model-based Fair Value estimate is C$0.0400 — implying the stock looks roughly 88.9% overvalued today. We read business quality at 95/100 (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
Baylin Technologies Inc., together with its subsidiaries, researches, designs, develops, manufactures, and sells passive and active radio frequency (RF) products, satellite communications products, and supporting services. The company offers embedded antennas for use in Wi-Fi routers, gateways, set-top boxes, 5G products, and land mobile radio products. It also provides RF components, including GaN-based power amplifiers, gallium arsenide-based power amplifiers, indoor and outdoor frequency converters, and transceivers; and antenna controllers for customers in the broadcast, maritime and cruise ships, government and military, homeland security, direct-to-home satellite, oil and gas, and wireless communications verticals. In addition, the company provides RF and microwave solid state power amplifiers; and pulsed amplifiers for radar applications, and transmitter and transceiver products, as well as RF passive components and systems. Baylin Technologies Inc. was founded in 1978 and is…
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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.