Expected credit losses on trade receivables

The simplified ECL approach requires a forward-looking allowance from day one of every receivable, not a wait-and-see approach - hospitality groups with concentrated exposure to a handful of OTAs, aggregators, or corporate catering clients can face sudden, large losses, and a stale or blanket provision matrix will understate the allowance right up until a counterparty actually defaults.

Is there a provision matrix based on historical default rates segmented by customer type (corporate accounts, delivery/OTA aggregators, walk-in credit)? Have forward-looking factors, economic conditions, aggregator payment history, industry-specific stress, been incorporated into the loss rates rather than relying purely on historical averages? Are receivables from aggregators/OTAs assessed separately given their different risk profile from direct corporate or guest receivables?

1. Confirm the receivable is a trade receivable without a significant financing component (or apply the practical expedient electing the simplified approach even where one exists), making the simplified approach available.
2. Recognize a loss allowance for lifetime expected credit losses immediately on initial recognition of the receivable - never wait for objective evidence of impairment (there is no 'stage 1/12-month ECL' step for trade receivables under the simplified approach).
3. Segment the receivable book into groups with shared credit risk characteristics (e.g., corporate catering clients, banquet/event deposits, OTA/aggregator remittances, walk-in credit accounts) since a single loss rate across dissimilar counterparties is not appropriate.
4. Build or update a provision matrix for each segment using historical loss rates by ageing bucket (current, 1-30 days, 31-60 days, etc.), derived from the entity's own default experience over a representative period.
5. Adjust the historical rates for current conditions and reasonable, supportable forward-looking information (e.g., macroeconomic outlook, known financial distress at a specific OTA/aggregator, sector-specific trends) without over-engineering the model.
6. Apply the matrix to the gross carrying amount of receivables in each ageing bucket/segment at each reporting date to compute the required loss allowance.
7. Recognize the allowance (and any subsequent remeasurement) through profit or loss as impairment loss/gain; write off receivables against the allowance when there is no reasonable expectation of recovery.
8. Reassess and recalibrate the matrix periodically (at least annually) as actual losses emerge, and immediately when a specific event (e.g., an OTA's payment default) indicates a segment's risk profile has changed.

Measure the loss allowance as lifetime expected credit losses using a provision matrix: apply segment- and ageing-specific historical default/loss rates to the gross carrying amount of each receivable bucket, adjusted for current economic conditions and reasonable forward-looking information available without undue cost or effort. Subsequently remeasure the allowance at each reporting date (and whenever a triggering event occurs) as receivables age through the matrix and as historical/forward-looking inputs are updated; recognize the movement (increase or decrease) in the allowance in profit or loss, and derecognize (write off) the gross receivable and related allowance when recovery is no longer reasonably expected.

Disclose the provision matrix (ageing buckets and corresponding loss rates) by receivable segment; disclose credit risk concentration by counterparty type (e.g., percentage of receivables from OTAs/aggregators vs. corporate clients); disclose a reconciliation of the movement in the loss allowance during the period (opening balance, amounts recognized/reversed, write-offs, closing balance); disclose the amount of impairment loss/gain recognized in profit or loss; disclose the entity's credit risk management policy and how forward-looking information is incorporated.

• Applying one blanket provision rate across dissimilar receivable types instead of segmenting by counterparty risk profile (e.g., treating low-risk OTA remittances the same as higher-risk one-off event/banquet debtors)
• waiting for an actual missed payment or default before recognizing any allowance, contrary to the simplified approach'
• s day-one lifetime ECL requirement
• building the matrix once from historical data and never updating it for current or forward-looking conditions
• ignoring concentration risk where a small number of aggregators/OTAs represent a large percentage of the receivable balance
• netting expected recoveries or collateral without adequate support, understating the required allowance.