A small business credit file can arrive with GST returns missing for a quarter or more. The business may be below the GST registration threshold, the proprietor may have missed filings, part of the activity may be informal, or the GSTIN data may not be available in a format an underwriter can use.
Lenders often respond by declining the application or asking for alternative documents that the business cannot produce. This leaves a credit-worthy part of the SME market outside the process, not necessarily because the businesses are risky, but because the assessment requires formal records they do not have.
Bank transaction data offers another route. It does not replace GST data for verifying formal revenue. It does, however, show cashflow through the business banking relationship, often with more current and complete detail than GST returns, including when those returns are available.
What GST Returns Show a Lender, and What They Miss
GSTR-1 records outward supplies, including sales, and helps a lender estimate revenue. GSTR-3B records net tax liability and input tax credit utilisation, offering context on the purchase-sales ratio. Clean and complete quarterly filings can therefore support revenue estimation and basic profitability inference.
GST returns do not show the timing of actual cashflow, the pattern of current account balances, or whether receivables are being collected promptly. They do not show the working capital available during the month or whether the proprietor's personal withdrawals are putting pressure on the business account. They are periodic views of formal transactions, not a record of the account between filings.
For SME lending, the immediate question is often whether the business can repay a working capital loan or equipment finance payment next month. That is a cashflow question rather than a revenue question, so the lender needs account-level evidence.
Interpreting Current Account Cashflow for SME Credit
A small business current account contains several transaction patterns that matter during credit assessment:
Revenue pattern: Inward NEFT and RTGS credits, UPI collections, and payment gateway credits indicate the inflow side. Adding these credits over a three to six month period gives an estimate of business throughput. Their timing also matters. Regular monthly receipts, date-based clusters, or irregular concentrations can indicate how predictable the business model is.
Payroll and supplier payments: Repeated outward payments to familiar beneficiaries, with consistent narration patterns, point to employee and supplier relationships. Regular payroll transfers and vendor payments can indicate operating continuity at a level of detail that GST returns do not provide.
Working capital cycle: Compare the timing of credits and debits. Large inward credits followed by proportional outward payments within a predictable period may indicate a working capital cycle that can support repayment, if the pattern remains consistent. When outflows regularly come before inflows, the business may be funding operations through the loan account, which affects repayment capacity.
End-of-month balance pattern: Review the balance at month end, especially the minimum balance during the month. A business maintaining a Rs. 50,000 minimum balance is better placed for a Rs. 30,000 monthly EMI than one whose balance approaches zero before the next inflow cycle.
Transaction Proxies for GST Revenue
When GST information is missing, transaction data can provide revenue proxies through several methods. Each method has limits that the lender should make explicit:
Total inward credit sum: Add inward credits over a defined period after excluding personal transfers, loan disbursements, and FD/RD closures. This gives a rough revenue proxy, but it can overstate throughput where funds are received and quickly passed on. Narration analysis can help identify such pass-through credits, although it is not perfect.
Regular credit counterparty analysis: Count the distinct originators and recurring counterparties in the account data. Five to fifteen regular credit counterparties over six months may indicate continuing customer relationships. A single credit source indicates customer concentration, which creates a different credit assessment.
UPI collection analysis: Where a business collects through UPI QR codes or payment links, the count and value of inward UPI transactions provide an indicator of transaction volume. This is especially useful for smaller retail and service businesses.
Limits of Bank Transaction Data
Bank transaction data cannot verify declared revenue. It shows activity that passes through the account. If substantial cash transactions remain outside the account, recorded throughput will be below actual activity. Businesses in cash-intensive retail, hospitality, or informal services can therefore appear less active in transaction data than they are.
Transaction data also lacks the business context carried by GST information, such as sector, input-output structure, and the formal versus informal revenue split. An analyst reviewing only a current account statement must infer the business type from narrations. That requires judgment and can produce errors.
We are not saying that transaction data can replace every form of formal financial documentation. We are saying that the two data sources are complementary. When GST data is complete, use it with transaction data to cross-check revenue. When GST data is absent or incomplete, transaction data can let assessment continue instead of forcing rejection or a long documentation chase. For larger loan amounts, treating it as a complete substitute would exceed what the evidence can support confidently.
Structuring Assessment for Thin-File SME Borrowers
An NBFC building a product for thin-file SME borrowers can use bank transaction data as its main cashflow evidence, then add whatever formal material is available, including partial GST returns, IT returns, or invoices. Loan sizing should remain conservative relative to demonstrated throughput. The cashflow assessment comes from transaction data, while the loan-to-throughput ratio accounts for uncertainty where formal documentation is incomplete.
The practical change is to ask for evidence that the banking relationship can provide, rather than requiring documents many small businesses cannot produce. The assessment remains conservative because revenue is estimated with less certainty, but the application can proceed. For lenders operating in this segment, transaction data can make part of the rejected SME population assessable without a disproportionate increase in risk.