Financial statements arrive quarterly or annually. Bank account data is available in real time or near-real time. The gap between the two creates a monitoring blind spot: the lender sees the financial position as of the last reporting date but does not see the changes occurring between reporting dates.
The Banking Behaviour Test fills this gap by analysing the borrower’s bank account data (transaction-level data from the accounts the lender has visibility into) for patterns that indicate operational stress, cash-flow deterioration or behavioural changes that precede financial deterioration.
What the bank account reveals that the P&L does not
Credit summation trajectory. The total credits into the borrower’s accounts each month, trended over 12 months. A declining trend in credit summation is the earliest signal of revenue deterioration. The borrower has not yet reported lower revenue in its financial statements (the quarter has not ended, the statements have not been prepared). But the cash receipts are declining in real time. The lender that monitors credit summation sees the decline months before the financial statements confirm it.
The analysis is granular: credits are classified by source (operating receipts from customers, inter-account transfers, director infusions, one-time receipts). Only operating receipts are included in the trend. A total credit summation that appears stable but where operating receipts are declining and director infusions are increasing is a more serious signal than a simple decline, because it indicates that the promoter is masking the operating decline with personal cash injections.
Debit concentration analysis. The top 10 payees by value each month, and how the concentration has changed over time. If debt-service payments to lenders have grown from 15% to 30% of total debits while operating payments (suppliers, salaries, rent) have compressed, the borrower is prioritising debt service at the expense of operations. This is a survival mode: the borrower is paying the lender to avoid default while underpaying suppliers (who will eventually stop supplying) and underpaying staff (who will eventually leave).
Inter-account transfer frequency. The frequency and value of transfers between the borrower’s own accounts. A borrower with three bank accounts normally transfers between them periodically (moving operating cash to the salary account on payroll day, transferring funds to the TDS account before the due date). An increase in transfer frequency and value, particularly near month-end, suggests the borrower is moving cash between accounts to maintain minimum balances, avoid cheque returns or present a healthy-looking account to the lender monitoring the primary account.
Cheque return analysis. The number and value of cheques deposited by the borrower that are returned unpaid (the borrower’s customers bounced the cheques). An increasing return ratio means the borrower’s customers are under financial pressure. Since the borrower’s cash flow depends on its customers paying, an increase in customer cheque returns is a direct leading indicator of the borrower’s own cash-flow deterioration.
The analysis is directional: a return ratio increasing from 2% to 5% over six months is more concerning than a constant 7% (which may reflect the borrower’s industry norm and customer base). The trend matters more than the level.
Unusual credit sources. Credits from sources that are not consistent with the borrower’s normal operating receipts. Credits from personal accounts of the promoter or the promoter’s family members. Credits from group entities that are not customers. Credits from entities in sectors unrelated to the borrower’s business. Credits described as “loans” or “advances” or “deposits” rather than as customer payments.
Each unusual credit may have an innocent explanation: the promoter lent money to the company for a specific purpose, a group entity repaid a genuine inter-corporate deposit, an advance was received from a new customer. The test does not conclude from a single unusual credit. It tracks the frequency and aggregate value of unusual credits over time. An increasing proportion of non-operating credits in the borrower’s total credit summation is a signal that the borrower’s operating cash flow is insufficient and is being supplemented from non-sustainable sources.
The monthly banking behaviour scorecard
The test produces a monthly scorecard for each monitored borrower covering: credit summation (trend over 6 months, variance from the prior year’s same-month figure), operating receipt proportion (percentage of total credits attributable to customer collections versus non-operating sources), debit concentration (proportion of debits going to debt service versus operations), inter-account transfer activity (frequency and value versus the historical pattern), cheque return ratio (trend over 6 months) and unusual credit sources (frequency and aggregate value).
The scorecard is designed to be produced from bank account data that the lender already has or can obtain from the borrower’s account statements. No additional information is required from the borrower. The analysis is independent: the borrower does not control the bank statement data and cannot manipulate it without the bank’s involvement.
The scorecard provides the lender with a real-time or near-real-time view of the borrower’s cash behaviour between financial statement reporting dates. The lender that relies on quarterly financial statements sees the borrower’s position four times a year. The lender that monitors banking behaviour sees the borrower’s cash position every month, or every week. The earlier detection creates the response time that determines whether the lender can intervene before the deterioration becomes irreversible.