Trade receivables expected credit losses (wholesale/B2B)

Most retailers sell primarily for cash or card at the point of sale, where credit risk is minimal, but many also run a wholesale, franchise or institutional channel that extends credit terms to business customers - and those trade receivables carry genuine default risk that must be provided for even before any specific customer shows signs of trouble. IFRS 9's simplified approach requires a lifetime expected credit loss allowance to be recognized from initial recognition of the receivable, which is a more forward-looking and often larger provision than the old incurred-loss model retailers may be used to. This matters commercially because wholesale/franchise receivables are often concentrated with a small number of large counterparties, so a single default can be material, and getting the provision matrix wrong either overstates receivables (if too low) or unnecessarily depresses reported profit (if too conservative without evidence).

What proportion of sales are on credit terms to business/wholesale/franchise customers rather than cash or card retail sales? Is a provision matrix segmented by customer type and aging used, with historical loss rates adjusted for current conditions and forward-looking information? Are receivables concentrated with a small number of large wholesale or franchise customers, requiring individual rather than portfolio assessment?

1. Determine at inception which trade receivables fall within scope of the simplified approach (all trade receivables without a significant financing component are automatically in scope; this covers essentially all wholesale/franchise/institutional receivables).
2. Recognize a loss allowance for lifetime expected credit losses from the moment the receivable is initially recognized (i.e., at the point of sale/invoicing), not only when a customer starts missing payments.
3. Segment receivables into groups with shared credit risk characteristics (e.g., by customer type - franchise partner vs. institutional buyer - and by geography or industry) before applying loss rates, rather than treating all wholesale receivables as homogeneous.
4. Reassess and update the loss allowance at each reporting date, incorporating both actual aging movements and any new forward-looking information (e.g., a large customer's deteriorating financial condition or sector-wide stress).
5. Write off receivables (net of any allowance) when there is no reasonable expectation of recovery, while continuing enforcement activity where relevant, and distinguish write-offs from the ongoing allowance for remaining performing receivables.

Build a provision matrix that estimates loss rates based on historical default experience for groups of receivables with similar risk characteristics and similar aging profiles, then adjust these historical rates for current conditions and reasonable and supportable forecasts of future economic conditions (e.g., sector outlook for key franchise partners, general economic indicators relevant to wholesale customers). The loss allowance equals the gross carrying amount of each aging bucket multiplied by its estimated loss rate, summed across buckets. Re-estimate loss rates periodically (at least annually) as actual loss experience emerges, since a matrix built on stale or too-generic data will not reflect the current portfolio's actual risk. For receivables from a small number of large wholesale/franchise counterparties, consider whether counterparty-specific information (not just aging) should override the matrix-based estimate.

The provision matrix or methodology used to calculate the loss allowance, including the basis of segmentation (e.g., by customer type and aging bucket); a reconciliation of the movement in the loss allowance during the period (opening balance, amounts recognized as expense, amounts written off, releases, closing balance); the gross carrying amount of trade receivables by aging category alongside the corresponding loss allowance; credit risk concentration disclosures, including exposure to individual large wholesale/franchise customers where material; and the amount of expected credit loss expense recognized in profit or loss for the period

• Applying a single blanket provision rate across both low-risk retail card receivables (which are typically settled within days by payment processors) and higher-risk wholesale/franchise receivables without any segmentation
• not incorporating forward-looking macroeconomic or sector-specific information into historical loss rates, effectively reverting to an incurred-loss mindset
• recognizing impairment only when a specific customer actually defaults, rather than from initial recognition of the receivable
• failing to update the provision matrix as the wholesale customer base grows or its risk profile changes, relying on stale historical rates
• ignoring significant concentration risk where a handful of franchise partners represent the majority of wholesale receivables, which may warrant counterparty-specific overlays beyond the matrix
• and offsetting the loss allowance against revenue rather than recognizing it as an expense (impairment loss) with the receivable presented net of allowance on the balance sheet