Current accounting standards, including IFRS 7 and IAS 7, require disclosure of these programs, but disclosures remain inconsistent, difficult to compare across firms, and frequently buried in footnotes. As a result, investors and lenders may struggle to assess the true extent of leverage and liquidity risk.
Most financial analysis tools—automated screening systems, trading algorithms, credit rating models, brokerage platforms, and standard dashboard summaries—rely primarily on headline data, not the detailed disclosures buried in the notes. As a result, supplier financing liabilities frequently escape detection in the very metrics that investors and lenders use to assess risk.
In many cases, firms willingly accept financing costs that exceed those of traditional bank borrowing because these arrangements provide funding without increasing reported debt or weakening leverage-based performance measures. The incentive is therefore often not cheaper financing, but more favorable financial reporting.
Given the central role of ratios such as Debt/Equity, Net Debt/EBITDA, and OCF in financial analysis, these metrics must be built on transparent, prominently reported classifications. They should not require forensic investigation into footnote disclosures to understand the extent to which operating metrics are being influenced by disguised financial liabilities.
If a buyer extends payment terms specifically because a financing program makes such an extension possible, then the economic substance of the transaction is borrowing, not operational trade credit. Classifying these obligations as trade payables fails to reflect their underlying nature and undermines the usefulness and integrity of reported financial metrics.
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