Iress Limited (IRE) Fair Value & Analysis
Technology · AU · Market cap A$1.2B
Fair value as of: Jun 24, 2026
Analysis
Iress Limited (IRE) currently trades at A$6.00, while our model-based Fair Value estimate is A$5.92 — implying the stock looks roughly 1.3% 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
Iress Limited engages in the designing and developing software and services for the financial services industry in the Asia Pacific, the United Kingdom and Europe, South Africa, and North America. It offers client management, business automation, portfolio data, research, financial planning tools, scaled advice journeys, digital advice solutions, digital client solutions, data-driven compliance and analytics, regulatory obligations management solutions, and revenue and payments management; trading interfaces, order and execution management, smart order routing, FIX services, portfolio management, analytical tools, algorithmic trading, post trade solutions, market data, trading and market data APIs; and mortgage comparison, mortgage advice, lender connectivity, quoting, comparison, application processing services. The company also provides portfolio management, order and execution management, FIX services, analytical tools, connectivity, market data, order management, portfolio manag…
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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.