How Statement Analysis Supports Credit Assessment
How lenders in Kenya use bank and M-Pesa statement analysis to understand income, spending and repayment capacity, and support fairer credit decisions.
By WeLend · · 2 min read
When someone applies for credit, a lender needs to understand whether the applicant can comfortably repay. A credit history shows how a person has handled borrowing in the past, but it does not always show what their money looks like today. That is where statement analysis comes in.
In Kenya, where many people and businesses earn and spend through both bank accounts and mobile money, bank and M-Pesa statements can offer a detailed picture of real financial activity.
What statement analysis is
Statement analysis is the process of reviewing an applicant's bank or mobile money statements to understand their income, spending and financial behaviour. It can be done manually, but increasingly it is supported by software that reads the statement, categorises transactions and summarises the key patterns.
What lenders look for
- Income: how much comes in, how often, and how consistent it is over time.
- Spending: regular expenses such as rent, utilities, school fees and transport.
- Existing obligations: repayments to other lenders, including mobile loans.
- Balances and cash flow: whether the account regularly runs very low.
- Unusual activity: patterns that may need clarification, such as large one-off deposits.
How it supports credit assessment
Statement analysis helps a lender move from assumptions to evidence. Rather than relying only on a stated salary or turnover, the lender can see actual inflows and outflows. This supports an affordability assessment: estimating how much a person or business can realistically repay without putting their finances under strain.
It can also help people with limited formal credit history. A trader who has never taken a bank loan may still have a clear, steady record of M-Pesa receipts that shows how the business performs.
Speed and consistency
Automated analysis can reduce the time spent reading long statements by hand and apply the same checks to every application. It can also help flag statements that appear to have been altered, which supports fraud prevention. Final decisions, however, usually combine statement insights with other information such as identity verification and a CRB check.
Privacy and consent
Statements contain sensitive personal information. Organisations that analyse them should obtain the applicant's consent, use the data only for the stated purpose, keep it secure and handle it in line with the Data Protection Act, 2019.
Talking to WeLend
If your organisation wants to use statement analysis as part of its credit process, you can reach WeLend on WhatsApp to understand how our statement analysis service works and what is needed to get started. We can take you through the specifics so you can confirm it meets your needs.
This article is general information, not financial advice. Product details, requirements and terms are confirmed directly by WeLend.
