Mayfield Group (MYG) Fair Value & Analysis
Technology · AU · Market cap A$351M
Fair value as of: Jun 24, 2026
Analysis
Mayfield Group (MYG) currently trades at A$3.11, while our model-based Fair Value estimate is A$1.16 — implying the stock looks roughly 62.7% 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: high).
About the company
Mayfield Group Holdings Limited, together with its subsidiaries, provides electrical and telecommunications infrastructure products and services in Australia. It offers switchboards, kiosks, and transportable switch rooms for critical electrical infrastructure. The company also engages in the project management, engineering, design, manufacture, installation, and commissioning of electrical infrastructure. In addition, it provides high, medium and low voltage infrastructure services, including switching, testing, maintenance and asset replacement services; and telecommunications and critical power products and services. Further, the company offers testing and measuring instrumentation, UPS and battery products, and maintenance and calibration services; lighting control and room automation systems, energy management systems, and profile cutting services and general engineering services, as well as manufacture of LV switchboards and control panels. The company was founded in 1936 and …
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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.