Southern Cross Electrical Engineering Limited (SXE) Fair Value & Analysis
Industrials · AU · Market cap A$1.1B
Analysis
Southern Cross Electrical Engineering Limited (SXE) currently trades at A$4.78, while our model-based Fair Value estimate is A$2.50 — implying the stock looks roughly 47.7% 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
Southern Cross Electrical Engineering Limited, together with its subsidiaries, provides electrical, instrumentation, communications, security, fire, and maintenance services and products in Australia. It operates through SCEE Electrical, Heyday, Trivantage, and Force Fire segments. The company installs electrical and data communications cabling products and systems; designs, manufactures, and installs commercial and industrial switchboards; and provides security system solutions, including consultation, design, supply, installation, integration, preventative maintenance, access control, workforce access management, intruder detection, perimeter solutions and gates, nurse call and duress systems, and CCTV servicing, as well as designs, installs, inspects, tests, and maintains fire protection systems. It also provides electrical infrastructure, building controls, energy management systems, lighting, security, communications, networking, maintenance, and structured cabling systems; sol…
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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.