NPL Ratio in Nigeria: Why 4.3% and 8.03% Can't Be Compared

An NPL ratio only means something next to another lender if both count the same loans over the same period, and in Nigeria they often don't. OPay's SEC filing reports a 4.3% non-performing loan ratio at 30 June 2026. The banking industry stood at 8.03% in January. Read side by side, that looks like a 3.7-point lead. It isn't one, because the two numbers measure different books.

For a head of risk or collections, the filing is useful for a different reason: it shows which numbers to ask for when you want to know how a loan book is really performing.

According to TechCabal's reading of the registration statement, OPay classifies a loan as non-performing at 90 days past due and charges it off at 120 days. Coverage by Nairametrics adds the larger picture. New loans issued in Nigeria rose to $927.63 million in the first half of 2026, up from $305.12 million a year earlier. Expected credit loss expense rose 210.3% to $118.36 million. Borrowers were late on $113.80 million at 30 June, or 27.4% of the $415.33 million owed. And OPay wrote off $113.15 million of loans in the half-year, more than the $69.95 million it wrote off in all of 2025.

Put those together and "4.3%" becomes one number among four that describe the same book: 27.4% of the balance is late, 4.3% is 90 or more days late and still on the books, and a growing amount has already left the books through write-offs.

The NPL ratio is non-performing loans divided by total loans. Two choices change it without any change in repayment behavior.

The first is when a loan counts as non-performing. The second, and bigger, is when a bad loan stops being counted at all. TechCabal points out that a lender writing off at 120 days removes loans that a bank charging off at 360 days would keep on its books for roughly eight more months, still counted in the ratio. OPay does not disclose what it charged off between those two thresholds, so no one outside the company can say what its ratio would be on a 360-day basis.

Here is an illustration, not real portfolio data. Two lenders each have ₦1 billion outstanding. In each book, ₦30 million is 90 to 120 days past due and ₦60 million is 120 to 360 days past due.

Lender A writes off at 360 days. Its non-performing loans are ₦90 million on ₦1 billion: a 9.0% NPL ratio.

Lender B writes off at 120 days. It removes the ₦60 million, leaving ₦30 million non-performing on ₦940 million: a 3.2% NPL ratio.

The borrowers behave identically. The ratios differ by nearly six points. Lender B has not collected a naira more than Lender A.

A single ratio cannot carry a portfolio review. These are better at telling you what is happening, and each can be compared across lenders once the definitions are stated.

 The share of the balance is 1 to 30, 31 to 60, 61 to 90 and 90+ days late. OPay's 27.4% is this kind of figure, and it shows stress long before the NPL line moves.

 Of the loans in one bucket this month, what share moved to the next bucket the month after? A rising 31-to-60 roll rate is an early warning you can act on while the loan is still collectable.

Write-offs as a share of originations or of average book.

 If write-offs grow faster than disbursements, a low NPL ratio is partly a timing effect. OPay's write-offs rose 520.5% in the half-year while originations roughly tripled.

 Provisions divided by what you lend. TechCabal's headline framing was $1.28 of expected credit loss for every $10 lent in Nigeria, against $2.55 of loan revenue. Translated to naira terms, that is roughly ₦12,800 of expected loss against ₦25,500 of revenue for every ₦100,000 lent, so provisions consumed about half of loan revenue.

 The filing states that recoveries on previously written-off loans reduce credit-loss expense. That makes post-write-off collections a line in the P&L, not an afterthought. For reference, a VIDA AI recovery pilot recovered ₦69 million of a ₦172.5 million overdue portfolio, a 40% recovery rate.

Questions to ask before comparing your book to anyone else's

At what day count does a loan become non-performing, and at what day count does it leave the book?

Is the ratio computed on gross loans or net of provisions?

Are restructured loans counted, and for how long?

What is the ratio on a fixed 360-day basis, so that it can be compared with banks?

If you cannot answer the fourth question for your own book, that is the first piece of work. The CBN reported the banking industry at 8.03% in January 2026, against a 5% prudential threshold, after forbearance ended and loans were reclassified. Lenders that report a much lower figure to investors, funders or partners should expect to be asked how it was computed.

For microfinance banks and digital lenders, classification and write-off rules depend on the regulator and auditors that apply to you, so check those directly rather than assuming the bank rules or another lender's policy apply.

A short write-off clock changes what collections are for. If a loan leaves the book at 120 days, the collections window that protects your reported ratio is the 90 to 120 day stretch, and what happens after is recovery. Both matter, but they need different targets and different reporting, and mixing them hides which one is working.

If your team wants to see how that split looks in its own portfolio, book a 

Understand why OPay’s 4.3% NPL ratio differs from Nigeria’s 8.03% banking industry figure, and discover the key metrics lenders should track to assess loan performance and improve collections.

CBN Rate Cut to 23%: Will Your Loan Actually Get Cheaper?

Probably, eventually, and by less than the headline suggests. On 22 September 2026 the Central Bank of Nigeria cut the Monetary Policy Rate (MPR) from 26.5% to 23%, the biggest cut in nearly two decades. That doesn't change the interest on any loan you already have, and it doesn't force any bank or lender to reprice. Nearly a week after the announcement, banks surveyed by Nairametrics had not cut their lending rates, which still ranged from about 20% to 46% depending on the borrower.

If you're planning to borrow, the cut is worth knowing about. It isn't a reason to rush.

The MPR is the benchmark rate that anchors what banks pay to borrow and what they charge. The Monetary Policy Committee cut it by 3.5 percentage points after inflation fell for a third month in a row, to 15.39% in August.

The CBN said the cut was mainly a recalibration. Money-market rates had already drifted to around 22%, well below the old 26.5% benchmark, so the official rate had stopped reflecting what money actually cost. The committee left the Cash Reserve Ratio at 45%, so banks still have to lock away the same share of their deposits. That's one reason lending rates may move slowly.

Why your loan rate won't fall by 3.5 points tomorrow

The rate you're offered was never "the MPR." It's the lender's own price, built from several things:

how risky it thinks you are, based on your credit history, income and existing debt

the type of loan: a 30-day unsecured loan is priced very differently from a salary-backed loan repaid through payroll

A policy rate cut only touches the first item, and only after the lender's own funding costs move. Most banks decide repricing through an internal committee, and several told Nairametrics they were still assessing. One analyst told the paper that a good customer can expect a better rate as things adjust, which is another way of saying the benefit reaches low-risk borrowers first.

Savers may feel the change before borrowers do. A Tier 1 bank source said the savings deposit rate tied to the MPR could fall from about 8.1% to 6.9% a year.

What 3.5 percentage points is worth in naira

It helps to see the size of the change. Say you borrow ₦1,000,000 for a year and your lender passes on the full cut. That's about ₦35,000 less interest over the year, before fees. On a ₦300,000 loan it's about ₦10,500.

Many consumer and salary loans in Nigeria are quoted as a monthly rate. Spread over 12 months, 3.5 percentage points a year works out to roughly 0.29 percentage points a month. If a monthly rate you've been quoted drops by much more than that, the MPR cut isn't the reason. If it doesn't drop at all, that isn't necessarily a sign you're being cheated either. The lender's funding costs may simply not have moved yet.

Your terms stay as they are. A lower MPR doesn't rewrite a signed loan agreement.

Check whether your rate is fixed or variable. Your offer letter or loan agreement will say. Most short-tenure consumer loans are fixed for the life of the loan.

If it's variable, ask your lender directly when and how it will be reviewed.

Be careful about taking a new loan to pay off an old one because rates "are coming down." Add up everything you'll repay on the new loan, including fees, and compare it with what's left on the current one. A slightly lower rate with a new processing fee can cost you more.

 Ask each lender for the full amount you'll repay and the repayment dates. A loan quoted at a lower rate can cost more once management fees, insurance or penalties are added.

 Lenders price risk, so the same cut helps different people by different amounts. Clearing old arrears, paying on time and keeping existing debt manageable will do more for the rate you're offered than any MPC decision.

 Rate cuts bring out loud "cheaper loan" ads. Before you share your BVN or bank details, confirm the lender appears on the FCCPC's register of approved digital lenders. Our earlier guide, 

Is Your Loan App Actually FCCPC/CBN Approved?

The rate is not the first hurdle for most people

This is the part the headlines leave out. A cheaper loan only helps if you qualify for one.

Between June and July 2026, VeendHQ reviewed salary-backed loan applications and found that 84.7% were declined or ineligible. The most common reason by far was a bad credit report (73.4%), followed by blacklist status (7.7%). Very few of those applicants were stopped by price. They were stopped by their credit history.

The wider market is moving the same way. In early September, Nigerian digital lenders told Nairametrics they were pulling back from unsecured short-term loans and focusing on borrowers with verifiable income and a repayment track record. A lower MPR doesn't reverse that. If anything, the gap may widen between borrowers who qualify and those who don't: the first group gets better offers as rates adjust, and the second keeps getting declined.

So before you shop for a lower rate, find out where you stand. Checking your credit report takes a few minutes. If there's an old unpaid loan on it, sorting that out is the single thing most likely to change your next loan decision.

Don't rush into a loan because of the rate cut. Lending rates will adjust over weeks or months, not days.

If you have an existing loan, find out whether it's fixed or variable before assuming anything will change.

Check your credit profile before applying anywhere, so a decline doesn't catch you off guard.

Ask every lender for the total repayment amount in naira and compare those numbers, not the headline rates.

If you earn a salary and want to know where you stand before applying, you can 

. It shows you what you may qualify for before you commit to anything. Approval still depends on your credit profile and income, and no lender can promise it.

The CBN cut its rate to 23%, but your loan won't drop by 3.5 points overnight. What changes, what doesn't, and what to check before you borrow.

On 20 July 2026, the Federal High Court in Lagos dismissed the suit the Wireless Application Service Providers Association of Nigeria had filed against the FCCPC. The ruling upheld the Digital, Electronic, Online or Non-Traditional Consumer Lending Regulations, 2025, usually shortened to DEON, and the Commission resumed enforcement straight away.

Seven weeks later the effect is visible. Nairametrics reported on 9 September that digital lenders are scaling back unsecured instant loans and chasing borrowers with verifiable income, credit history and predictable cash flow. The number of FCCPC-registered lenders has climbed to 525, with another 33 on waivers because they already hold CBN licenses. 112 apps sit on the Commission's watchlist, and 54 have been pulled from the Google Play Store.

For anyone lending in Nigeria, the question is no longer whether the rules will stick. It is how the market reorganizes around them.

DEON applies to anyone providing or facilitating non-traditional consumer lending: loan apps, platforms that advance value on credit, and the agents and intermediaries around them. Lenders must register, follow Nigeria's data protection law, report consumer complaints every quarter, and stop tying loans to unrelated products.

Some lenders sit outside it. According to Aluko & Oyebode's summary of the DEON Guidelines, the rules exclude institutions licensed and regulated by the CBN (which includes microfinance banks), lending arrangements between employers and employees, and registered cooperatives.

So an MFB is not directly bound by DEON. It is still affected, because DEON is changing what its competitors can offer and who they are willing to lend to.

The 30-day, unsecured nano loan was built on two assumptions: acquisition was cheap, and aggressive recovery would cover the defaults. DEON removed the second assumption.

Under the current rules, abusive collection is sanctionable, and the FCCPC has taken a zero-tolerance position on harassment. One digital lending executive told Nairametrics that the worst a registered lender can now do to a defaulter is blacklist them, which may stop the borrower getting credit elsewhere but "does not bring back the money owed."

Babatunde Akin Moses, CEO of Sycamore, explained the cost side with a simple comparison. Lend ₦1 million to one borrower and you assess and manage one customer. Lend the same ₦1 million as ₦5,000 loans and you have 200 customers to onboard, assess, monitor and follow up. Each of those carries fraud risk, funding cost and recovery effort, and the operating cost per naira lent climbs fast.

Moses was also clear that demand for small credit hasn't gone away. Gbemi Adelekan, President of the Money Lenders Association, said loan applications have actually risen as households look for short-term credit to stretch their income. Nobody is saying the need disappeared. The old way of serving it just stopped paying.

Adelekan described the move plainly: away from unsecured nano loans and toward tenured, structured installment loans "with certainty of source and deduction of income." Lenders are also leaning into business loans where repayment can be tied to verifiable cash flow.

Larger tickets over longer tenures, which spread origination and monitoring cost across more naira.

Underwriting on verified income or business transactions rather than phone data and a guess.

Repayment designed at the start, through deduction at source or linked cash flow, instead of recovery after default.

What this means for MFBs and institutional lenders

If you are an MFB or an institutional lender, DEON's pressure on app lenders creates an opening, as long as you're set up to use it.

 Borrowers that app lenders now decline or price out still need credit. Lenders who can verify income cheaply will be the ones able to serve them.

 Once aggressive recovery is off the table, the underwriting decision carries more of the risk. The question to ask before disbursement is: where does the repayment come from, and can we see it?

 A loan whose repayment is deducted from salary or linked to a known cash flow doesn't depend on chasing the borrower later. Your portfolio quality starts at origination.

Unit economics favor fewer, better-sized loans.

 Moses's 200-borrower example applies to any lender. If your cost to originate and service a loan is roughly fixed, ticket size and tenor drive margin.

Compliance posture is now a selling point.

 Borrowers, partners and funders are watching who is registered and who is on the watchlist. Being able to show clean, documented lending and collection practices matters more than it did a year ago.

VeendHQ gives financial institutions the infrastructure and liquidity to run lending with automated recollection from source, starting with payroll-linked lending to federal and Remita-paid workers. That is the lending model the market is now moving toward: income you can verify, and repayment that doesn't depend on chasing anyone.

If your institution is rethinking its consumer book after DEON, Veend's team is happy to walk through how income-linked lending could fit your portfolio. 

Explore how Nigeria’s DEON regulations are reshaping digital lending, pushing lenders from nano loans toward income-linked credit, verified cash flow and structured repayment.

After DEON: why Nigerian lenders are leaving nano loans for income-linked credit

When thousands of borrowers are overdue, the challenge is not contacting everyone. It is knowing what to do next.

Nigeria's credit market is expanding, but lenders continue to face a fundamental challenge: how to grow lending while effectively managing repayment risk.

Private-sector credit grew by about 20% in 2025, according to the International Monetary Fund, while credit remained relatively shallow at around 12% of GDP. At the same time, the Central Bank of Nigeria estimated the banking sector's non-performing loan ratio at 7.0% at the end of 2025, above the regulatory prudential benchmark of 5%.

The implication is clear: Nigeria needs more credit, but sustainable credit growth requires more than better origination and faster disbursement. It requires lenders to become significantly better at managing the entire credit lifecycle, particularly what happens after disbursement.

Because lending does not end when money leaves the lender's account. It continues through repayment, and when repayment becomes uncertain, lenders need more than a collections queue.

collections activity to recovery intelligence

, which can be understood through a simple framework:

Data → Detection → Prediction → Prioritization → Intervention → Recovery → Learning

Traditional recovery often follows a familiar pattern:

Missed payment → Reminder → Phone call → Follow-up → Escalation → Recovery attempt

This can work when portfolios are small and borrower situations are relatively straightforward.

Should all 10,000 borrowers receive the same message? Should all be called? Should every account be escalated?

One borrower may have missed a payment because of a temporary cash-flow disruption and may repay after a simple reminder. Another may have a history of repeated late payments and ignored interventions. Another may be eligible for restructuring, while another may have the capacity to pay but consistently avoids repayment.

They are all overdue, but they are not the same recovery problem.

"What is the most appropriate next action for each account?"

That is where recovery intelligence becomes important.

Introducing the VIDA Recovery Intelligence Stack

The VIDA Recovery Intelligence Stack is a seven-stage framework for turning repayment and behavioral data into better recovery decisions. It moves recovery from a reactive process into a continuous decision-making system.

Every intelligent recovery system starts with reliable information.

This includes relevant repayment, behavioral and financial data collected within appropriate legal, regulatory and privacy boundaries.

The goal is not to collect data simply because it exists. It is to build a useful picture of the account.

Nigeria's increasingly digital financial ecosystem makes this opportunity significant. NIBSS reported approximately 11.2 billion electronic payment transactions in 2024, with electronic payment value reaching about ₦1.07 quadrillion.

But more data does not automatically mean better decisions. Data needs to be accessible, reliable, appropriately governed and converted into usable intelligence.

Without good data, every stage that follows becomes weaker.

"Is something changing in this borrower's behavior?"

A borrower does not necessarily become risky on the day a repayment is missed. There may have been signals beforehand: changing repayment patterns, increased borrowing frequency, deteriorating cash-flow behavior, progressively later payments, or increased exposure while repayment capacity appears weaker.

Detection is about identifying meaningful changes early enough for the lender to respond.

Traditional recovery often begins when the problem becomes visible. Intelligent recovery looks for the signals that may indicate the problem is developing.

Detection moves the lender from seeing the outcome to recognizing the warning signs.

3. Prediction: What Is Likely to Happen Next?

Detection tells the lender what is changing. Prediction asks:

Analytical and AI models can help lenders estimate which accounts are more likely to deteriorate, which borrowers are likely to respond to an intervention, and which accounts may require additional attention.

Consider two borrowers who have both missed a repayment.

Borrower A has historically paid every installment on time and has experienced a temporary cash-flow disruption.

Borrower B has repeatedly delayed payments, ignored previous interventions and increased borrowing.

Both are overdue, but their likely recovery journeys may be very different.

Prediction helps the lender recognize that difference.

"Who is likely to recover, who is likely to deteriorate, and what could influence the outcome?"

Prediction turns recovery from hindsight into foresight.

4. Prioritization: Who Needs Attention First?

This may be the most important operational question in a large recovery portfolio.

If 10,000 customers are overdue and the lender has limited human resources, it cannot treat every account as equally urgent.

Which accounts are most likely to deteriorate?

Which accounts can potentially be resolved with low-cost interventions?

Which accounts may benefit from restructuring?

Where will additional recovery effort have the greatest impact?

Instead of giving every overdue borrower the same treatment, the lender allocates resources according to the characteristics and likely needs of each account.

recovery outcomes and operational efficiency

The objective is not to work harder on every account.

Once an account has been prioritized, the next question is:

Not every borrower needs a phone call, an escalation or the same message.

Depending on the account, the appropriate action might be:

 — for a borrower who is likely to pay with a simple prompt.

 — where timing or convenience may be the main barrier.

 — where the borrower may need a more structured path to repayment.

 — where circumstances suggest modifying the repayment arrangement may produce a better outcome.

 — for complex, sensitive or higher-priority cases where context and judgement matter.

 — where previous interventions have failed and the account requires a different recovery approach.

This is where recovery becomes more than automation.

The right intervention should reach the right borrower at the right time through the right channel.

An intervention is only useful if the lender measures its outcome.

Did the borrower respond? Did they make a payment? Did the intervention fail? Did they request restructuring? Was the account resolved? How much did the recovery effort cost, and how long did it take?

These questions turn recovery from an activity into a measurable process.

Discover how the VIDA Recovery Intelligence Stack uses data, AI, and intelligent workflows to help Nigerian lenders improve loan recovery, prioritize interventions, and make smarter decisions.

The VIDA Recovery Intelligence Stack: A Smarter Framework for Loan Recovery in Nigeria

A business can grow faster than its ability to manage that growth.

It can have more customers, higher revenue, stronger demand and a larger team and still become less organized, less predictable and harder to run.

This happens because the systems that help a business start are not always the systems that can help it scale.

A founder may begin with a WhatsApp account, an Excel sheet, a notebook and a good memory.

At ₦1 million in monthly sales, that may be enough.

At ₦20 million, the same setup can become a liability.

Orders start getting missed. Stock numbers stop matching. Customer requests get buried in chats. Staff ask the founder questions they should already be able to answer. Reconciliation becomes a recurring headache. Reports take too long to produce.

Nothing about the business necessarily went wrong.

The business simply became bigger than its systems.

Growth creates a different kind of problem

When a business is small, a surprising amount of complexity can be absorbed by one person.

The founder knows which customer has paid.

They know which product is almost out of stock.

They know which employee handles which task.

They can scroll through WhatsApp to find an old conversation.

They can call someone when a number does not look right.

The business may not have formal processes, but the founder's memory fills the gaps.

And suddenly, the business is asking human memory to function like infrastructure.

The problem with informal systems is not that they are inherently bad.

In fact, they are often exactly what a new business needs.

A founder should not need an enterprise resource planning system to sell their first hundred products.

A small retailer can start by tracking sales on a spreadsheet.

A service business can manage early customers through WhatsApp.

A founder can approve expenses personally.

These methods are fast, cheap and flexible.

The problem comes when they remain unchanged while everything around them changes.

A spreadsheet that tracks 50 transactions may become difficult to manage at 5,000.

A WhatsApp inbox that once contained 20 customer conversations can become impossible to monitor when hundreds of customers are asking questions simultaneously.

A founder who personally approves every decision may initially provide control.

At scale, that same behaviour can become a bottleneck.

The system has not necessarily become worse.

The demands placed on it have become greater.

Businesses often measure growth through numbers such as revenue, customer count, transaction volume or headcount.

But there is another form of growth that receives less attention:

Imagine a business growing from 10 customers to 1,000.

But the number of interactions required to serve those customers does not necessarily increase in the same simple proportion.

More opportunities for information to become inconsistent.

Growth creates more relationships between things.

And those relationships need to be managed.

That is why a business can feel completely different at ₦20 million in monthly sales than it did at ₦2 million, even if it sells exactly the same product.

One of the clearest signs that a business has outgrown its systems is when the founder becomes the operating system.

But it is actually concentration of information.

And concentrated information creates fragility.

If too many routine decisions depend on one person, that person eventually becomes the bottleneck through which the entire business must pass.

And they certainly cannot remain the only person who knows how everything works.

A scalable business gradually moves knowledge 

out of people's heads and into processes, records and systems.

Why Nigerian businesses outgrow the systems that helped them start and how better processes, information and operational structure can help them scale without losing control.

The Vida Blog

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