Smart Parking Limited (SPZ) Fair Value & Analysis
Industrials · AU · Market cap A$337M
Fair value as of: Jun 24, 2026
Analysis
Smart Parking Limited (SPZ) currently trades at A$0.7850, while our model-based Fair Value estimate is A$0.4900 — implying the stock looks roughly 37.6% 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
Smart Parking Limited, together with its subsidiaries, engages in the design, development, and management of parking management solutions in New Zealand, Australia, Denmark, Germany, and the United Kingdom. It operates through Parking Management, Technology, and Research and Development segments. The company provides parking management services for cars using automatic number plate recognition (ANPR) camera systems that are designed to monitor private car parks for businesses. It offers SmartCloud, a cloud-based car parking management platform that gathers and processes information; Compliance Management System, an app and online management platform designed to digitalize and streamline the manual patrol and processing of urban car parking footprints; pay and walk machines for people to either pay for their parking or validate their number plate; mobile patrol services for guiding and informing customers about parking related information; and Vehicle Detection Sensors, is designed t…
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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.