Nigerian Fintech Keeps Loan Defaults Under 1% for 18 Months

While Nigerian banks watched bad loans eat into their balance sheets, one partnership found a way to lend smarter.

Nomba, a Nigerian fintech serving over 600,000 businesses, teamed up with Globus Bank to create a lending model that reads more like prevention than damage control. Over 18 months, they've loaned out $15.3 million to Nigerian businesses with less than 1% going bad.

The timing makes this achievement even more remarkable. Nigeria's banking industry saw non-performing loans jump from 4.2% in early 2023 to an estimated 7% by the end of 2025. Currency devaluation and inflation made it harder for borrowers to repay, turning loans into liabilities across the financial sector.

Nomba and Globus Bank say they avoided that spiral by changing how they evaluate who gets money. Instead of requesting financial statements and fixed collateral, they watch what businesses actually do every day. Every transaction running through Nomba's platform becomes a data point, revealing revenue patterns, settlement cycles, and operational health in real time.

The selectivity is striking. Of Nomba's 600,000 business customers, only 20,000 qualify for loans. And of those eligible merchants, Nomba currently serves just 10%. Businesses must be formally registered, generate steady transaction volumes, and have enough history on the platform to paint an accurate financial picture.

Loan amounts stay small by design, capped at about 1% of a business's annual revenue. The idea is simple: keep repayment obligations manageable so businesses don't get crushed by debt during a slow month.

Once money goes out, the monitoring continues on a rolling 30-day basis. The same system that approved the loan watches for revenue changes that might signal trouble ahead. When problems appear, the platform flags them before payments get missed, giving lenders time to restructure terms or start recovery conversations.

Borrowers also put up digitized collateral like inventory, digital assets, or semi-liquid physical assets, plus a 30% cash buffer upfront. That buffer protects against sudden drops in the value of volatile assets like stocks or stablecoins.

Why This Inspires

This model proves that technology can make lending more human, not less. By watching actual business performance instead of relying on paperwork that might be outdated or incomplete, lenders can extend credit to businesses that traditional banks might overlook.

The approach also protects borrowers from the nightmare scenarios that have plagued digital lending in Nigeria. When defaults happen, the first response is restructuring, not harassment. No frozen accounts, no office raids, no public shaming.

Nomba CEO Yinka Adewale put it simply: "That number did not happen by accident. It happened because we built underwriting infrastructure that actually works, data that is real, collateral that is meaningful, and borrowers who have genuine skin in the game."

The model has limits. Cash-heavy businesses or those operating across multiple platforms present thinner data trails, making them harder to assess and less likely to qualify. But for the businesses that do fit, this approach offers something increasingly rare in Nigeria's financial landscape: access to credit that doesn't become a trap.

While other lenders tighten requirements and watch their bad loans pile up, Nomba and Globus Bank are showing that visibility beats guesswork every time.