Spenda Limited (CROTD) Fair Value & Analysis
US · Market cap $5.3M
Fair value as of: Jun 26, 2026
Analysis
Spenda Limited (CROTD) currently trades at $0.0070, while our model-based Fair Value estimate is $0.0072 — implying the stock looks roughly 3.0% undervalued today. We read business quality at 85/100 (high quality). 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: low) — always confirm before acting.
About the company
Spenda Limited develops and commercializes technology assets that enable the modernization of business IT systems through conversion, migration, and management of server-based legacy data and systems to the cloud in Australia. It operates through SaaS and Payments, and Lending segments. The company offers business-to-business payment services; merchant services; solutions for integrating payments into the software platform or marketplace; and invoice, supplier, buyer, and agri finance solutions. It also provides accounts receivable automation software for streamlining collections and accelerating incoming payments; accounts payable automation software for managing supplier payments and driving stronger cash flow; sales order management for collaborating on orders with customers; portable point of sale systems; eCommerce solutions; warehouse management solution for accessing accurate data and managing inventory; workshop management software for managing auto workshops; service manage…
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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.