SKS Technologies Group (SKS) Fair Value & Analysis
Industrials · AU · Market cap A$992M
Analysis
SKS Technologies Group (SKS) currently trades at A$9.20, while our model-based Fair Value estimate is A$2.51 — implying the stock looks roughly 72.7% 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: high).
About the company
SKS Technologies Group Limited engages in the design, supply, and installation of audio visual, electrical, and communication products and services in Australia. It offers audiovisual integration products, automated audiovisual systems, digital signage products, video conferencing products, TP over IP networks, room control systems, medical imaging solutions, multi-screen control room products, large screens and stadiums, hi-tech intuitive corporate boardrooms and training rooms, display and projector systems, interactive whiteboards, touch panel control systems, specialist controlled lighting systems, public address systems, and video and audio conferencing solutions, as well as maintenance and support services for architects, builders, and consultants. The company also provides electrical solutions, such as data and voice communication systems, electrical design and installations, lighting control systems, and energy solutions, as well as support agreements and maintenance service…
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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.