Objective Corporation (OCL) Fair Value & Analysis
Technology · AU · Market cap A$1.1B
Analysis
Objective Corporation (OCL) currently trades at A$10.12, while our model-based Fair Value estimate is A$7.38 — implying the stock looks roughly 27.1% 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
Objective Corporation Limited, together with its subsidiaries, supplies information technology software and services in Australia and internationally. The company offers Objective Nexus, a SaaS-based solution that provide records compliance, enterprise scale information management, and process automation; Objective 3Sixty to discover, organize, and manage enterprise information; Objective Connect, a secure external file sharing application; Objective Redact, a redaction software for security-conscious organizations; Objective Build, a purpose-built platform for planners and streamlining development assessment; Objective Trapeze, a software to measure, assess, annotate, and stamp digital plans and drawings; Objective Keyplan, an end-to-end solution for the planning policy process; Objective RegWorks, a licensing, compliance, and enforcement processes solution; and Objective Keystone, a draft, review, approve, and publish software. The company also offers education, technical support,…
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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.