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Total credits in a bank statement overstate a borrower's income because they include own transfers, loan money, refunds and one-off receipts.
Classify every credit by source, keep recurring credits with an identifiable payer, and remove transfers, disbursals, refunds, reversals and asset sales before any ratio is computed.
A credit classification list (salary, business receipt, rent counted; own transfer, disbursal, refund, reversal, FD maturity excluded), the borrower's own account list, and the bureau loan list to spot disbursals.
A monthly income figure that feeds FOIR and eligibility, with each excluded credit tagged and its reason recorded for the credit file.
In a bank statement, only recurring credits with an identifiable source count as income: salary, business receipts from customers, and rent. Everything else, such as transfers from your own accounts, loan disbursals, refunds, reversals and one-off sales of an asset, is removed before the lender works out any ratio.
That is why the income a lender uses is almost always smaller than the total of the credit column.
Which credits count and which are excluded?
| Credit | Counted? | Reason |
|---|---|---|
| Salary by NEFT from employer | Yes | Recurring, named source |
| Customer payments by UPI, NEFT or cheque | Yes | Business receipts |
| Marketplace or gateway payouts | Yes, net | Business receipts after deductions |
| Rent from a tenant | Yes | Recurring, named source |
| Transfer from your own account | No | Your own money moving |
| Loan disbursal | No | Borrowed money, to be repaid |
| Refund or reversal | No | Money returning, not earned |
| FD maturity or asset sale | No | One-off, does not repeat |
| Large unexplained cash deposit | Often not | Needs evidence of source |
Lenders differ at the edges. Some count interest and dividends, some do not. Many lenders look for proof that a credit repeats before counting it, but each lender sets its own policy.
Why does a ₹4,35,000 month of credits shrink to ₹1,90,000 of income?
Because most of the credits were not earned that month. Here is one borrower, Suresh, a self-employed electrical contractor, in July.
| Credit | Amount | Treatment |
|---|---|---|
| Customer payments by NEFT and UPI | ₹1,65,000 | Counted |
| Rent from a shop he lets out | ₹25,000 | Counted |
| Transfers from his own savings account | ₹2,10,000 | Excluded |
| Supplier refund and a reversed UPI payment | ₹35,000 | Excluded |
| Total credits | ₹4,35,000 |
Income counted: ₹4,35,000 − ₹2,10,000 − ₹35,000 = ₹1,90,000. That equals ₹1,65,000 + ₹25,000, so the figures agree from both directions.
How the income base feeds FOIR and eligibility
FOIR (fixed obligations to income ratio) is monthly EMIs divided by monthly income. Suresh pays ₹38,000 a month in EMIs.
- On the right base: ₹38,000 ÷ ₹1,90,000 = 20 percent.
- On raw credits: ₹38,000 ÷ ₹4,35,000 = about 8.7 percent.
The second figure makes him look far less stretched than he is. Over six months the gap compounds: if every month looked like July, raw credits would total ₹26,10,000 while counted income would be ₹11,40,000, less than half. Any loan sized on the first number would be sized for an income Suresh does not have. An analyst who skips classification could approve a loan he cannot carry. Many lenders look for a FOIR somewhere around 40 to 60 percent after the new EMI, but each lender sets its own policy.
How credit teams record the classification
Good practice is to write down why each large credit was kept or removed:
- Mark the borrower’s own accounts so transfers can be matched.
- Check the bureau report for recent loans and match disbursal credits.
- Tag refunds and reversals by narration and by a matching earlier debit.
- Note any one-off receipt and its source.
- Total the counted credits by month and average them over the period.
The 7-step process in how to read a bank statement for credit risk puts this in context, and separating personal from business transactions covers mixed accounts.
TransactIQ uses counterparty intelligence to separate business from personal flows, and every one of its 40+ engineered credit signals it produces is rule-traceable so the credit team can explain it. See the bank statement analyzer or NBFC lending.
What to read next
- What is a salary credit and how do you identify one?
- How to read a bank statement for credit risk
- Personal vs business transaction separation for MSMEs
- Bank statement analyzer
Content authored by practitioners with experience at Amazon India, Intuit QuickBooks, and the Tata Group. Meet the team →