Reckon Limited (RKN) Fair Value & Analysis
Technology · AU · Market cap A$45.9M
Fair value as of: Jun 25, 2026
Analysis
Reckon Limited (RKN) currently trades at A$0.4100, while our model-based Fair Value estimate is A$1.30 — implying the stock looks roughly 217.1% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Reckon Limited provides software solutions in Australia, New Zealand, the United States, and internationally. The company offers c, an software as a service cloud-based accounting and payroll software platform, which includes mobile app functionality for small businesses; Reckon Payroll, a cloud payroll software for employee self-service; Reckon invoice to create and send online invoices; Reckon business loans; Reckon Accounts Hosted, an online accounting software for large businesses; Reckon Insights, a financial reporting and analytics software; Reckon Payments that accepts online payments; WABI for reservations, point of sale, team management, inventory, and payments; and Reckon insurance that arrange insurances. The company also provides bank reconciliation software that imports bank transactions; expense management software for small businesses; Reckon Timesheets, software to track time and manage employee timesheets; and project management software for managing jobs and projec…
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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.