Non‑performing loans (NPLs) and the NPL ratio are core indicators of credit risk in banking, but a low NPL ratio can easily create a false sense of comfort. This article explains what NPLs are, how the NPL ratio works, and why focusing only on a “low” NPL number can hide serious problems in bank asset quality.
What are non‑performing loans and the NPL ratio?
A non‑performing loan is a loan where the borrower is in default or very close to default, typically because they have not made principal and interest payments for 90 days or more, or are considered unlikely to repay in full. Supervisors often treat loans that are 90+ days past due or assessed as “unlikely to pay” as non‑performing, even if some collateral exists.
The NPL ratio is the share of these non‑performing loans in a bank’s total loan portfolio. In simple terms, it tells you what percentage of the bank’s loans are impaired or at high risk of default.
How the NPL ratio is calculated
The standard NPL ratio formula is:
- Non‑performing loans: loans that are past due by 90 days or more, or otherwise judged unlikely to be repaid in full.
- Total gross loans: the full amount of the loan book before provisions or write‑offs.
For example, if a bank has 5 million dollars of NPLs and 100 million dollars of total loans, its NPL ratio is (5/100)×100=5%. On the surface, a 5% NPL ratio might look manageable or even attractive compared to peers, but the real story depends on what is happening behind that number.
Why the NPL ratio became a headline asset‑quality metric
Regulators, investors, rating agencies, and the media routinely use the NPL ratio as a shorthand indicator of bank asset quality and credit risk. It is intuitive, easy to compare across banks and countries, and highly correlated with stress in the banking sector during crises.
A low or declining NPL ratio is usually presented as evidence that a bank’s loan portfolio is healthy and well managed. Many dashboards and macro reports highlight this one metric, which encourages decision‑makers and journalists to stop digging further. This is a good place in your article to link to a related guide on how to read a bank’s credit quality metrics (internal link: asset‑quality explainer blog post).
Five reasons a low NPL ratio can be misleading
1. Restructuring and forbearance can hide real credit risk
When borrowers struggle, banks can restructure loans by extending maturities, cutting interest rates, granting grace periods, or capitalizing unpaid interest. These forbearance measures can move a loan back into “performing” status even when the borrower remains fragile and the probability of default is still high.
If a bank relies heavily on restructurings, its headline NPL ratio may fall while the underlying risk has only been delayed, not solved. Supervisors and analysts therefore look at forbearance ratios and the share of modified loans to see whether low NPL ratios are built on genuine improvement or accounting optics.
2. “Extend and pretend” and evergreen lending
A more aggressive tactic is “extend and pretend”: issuing a new loan to allow the borrower to repay the old one, so the original NPL never has to be recognized. This evergreen lending keeps loans classified as performing even when the borrower has no realistic path to servicing the debt.
In the short term, this practice can keep the NPL ratio artificially low and support reported profitability. Over time, however, it can build a stock of “zombie” exposures that will eventually crystallize as losses, often during a downturn when the bank can least afford it.
3. Weak provisioning and low coverage ratio
Even when the NPL ratio is low, the key question is: how much loss can the bank absorb if things go wrong? The coverage ratio answers this by comparing provisions set aside for credit losses to the stock of NPLs. A low NPL ratio paired with a low coverage ratio can be a red flag that the bank is under‑provisioned.
A bank with a 3% NPL ratio but 30% coverage might be riskier than a bank with a 6% NPL ratio and 80% coverage, because the second bank has recognized and reserved for more of its problem loans. This is a natural point to link to a deep‑dive article on coverage ratio and cost of risk (internal link: credit‑risk metrics guide).
4. Risky portfolio growth that has not yet turned into NPLs
The NPL ratio is a backward‑looking, lagging indicator. During good times, banks may grow aggressively in higher‑risk segments (certain sectors, regions, or unsecured lending), but the impact on NPLs often shows up only later in the credit cycle.
If a bank has rapidly expanded in risky portfolios but still shows a low NPL ratio, that can simply mean the loans have not had time to season or encounter stress. Analysts need to look at portfolio breakdowns, lending standards, and macro‑sector exposure to judge whether “low NPL” reflects cautious underwriting or just early‑cycle timing.
5. Differences in definitions and reporting standards
There is no perfectly uniform global definition of NPLs. Some frameworks focus strictly on days‑past‑due (e.g., 90+ days), while others include “unlikely to pay” assessments even with fewer days of arrears, as in European supervisory standards.
Because of this, cross‑country and even cross‑bank comparisons of NPL ratios can be misleading if you ignore differences in classification rules, local supervisory practices, and how collateral is treated. A bank that applies strict definitions may show a higher NPL ratio than a peer that uses looser criteria, even if its underlying risk management is actually stronger.
Beyond the NPL ratio: essential credit‑risk metrics
Coverage ratio: how much of NPLs is reserved?
The coverage ratio measures provisions for credit losses relative to NPLs, usually in percentage terms. A higher coverage ratio indicates that the bank has recognized more expected losses upfront and built a buffer against future write‑offs.
In practice, you want to look at NPL ratio and coverage ratio together: low NPL with strong coverage is far more credible than low NPL with thin reserves. This makes the coverage ratio a critical complement to the headline NPL number when assessing bank asset quality.
Cost of risk and provisioning dynamics
The cost of risk is typically defined as provisions taken over a period divided by the average loan portfolio, expressed in basis points. It shows how much of each currency unit of loans the bank is charging to the income statement for expected credit losses.
If the cost of risk is rising while the NPL ratio is flat or falling, that can signal that underlying asset quality is deteriorating and the bank is starting to build reserves ahead of visible defaults. Conversely, a very low cost of risk for several years may mean under‑provisioning, especially after a credit boom.
Portfolio structure, concentrations, and macro context
To truly understand credit risk in banking, you have to look beyond ratios to the structure of the loan portfolio. Key dimensions include sector and geographic concentrations, exposure to cyclical industries, loan‑to‑value levels, and the prevalence of unsecured lending.
Empirical research shows that economies that successfully reduce high NPL stocks tend to see stronger credit growth and higher GDP growth over time. This underscores that resolving problem loans and improving bank asset quality is not only a micro‑prudential issue; it is vital for the broader economy. Here you can link to a case study on reducing NPLs and unlocking growth (internal link: NPL clean‑up case study).
NPL ratio, asset quality, and financial stability
The NPL ratio sits at the center of how supervisors think about bank asset quality, capital adequacy, and resilience. High NPL levels can tie up capital, reduce profitability, and limit a bank’s ability to extend new credit; very high levels can trigger recapitalizations or restructuring.
However, a “perfectly low” NPL ratio achieved through aggressive restructuring, weak provisioning, or loose definitions can be just as dangerous, because it hides vulnerabilities until they suddenly surface. In practice, a bank with a somewhat higher NPL ratio but strong coverage, transparent reporting, and credible workout strategies may be more resilient than a peer showing flattering but fragile numbers. This is a good section to include an internal link to your in‑depth article on bank asset quality and stress‑testing (internal link: asset‑quality/stress‑test guide).
Practical checklist for investors and analysts
If you are evaluating a bank’s credit risk, do not stop at “NPL ratio is low.” Use a simple checklist:
- Review the NPL ratio trend over several years, not just a single snapshot.
- Check the coverage ratio and whether reserves look adequate relative to NPLs and macro risks.
- Look at the cost of risk pattern: is provisioning rising or falling, and does it match the cycle?
- Analyze the loan portfolio mix by sector, region, and product to spot risk concentrations.
- Examine disclosures on restructured and forborne loans to see if risk is being pushed into the future.
- Understand the regulatory framework and definitions that shape how NPLs are classified and reported.
This is also the ideal place to link to your course or workshop on bank analysis and credit‑risk modeling, which can give readers a more structured framework. (Internal link: banking analysis course / workshop page.)
Key takeaways
The NPL ratio is a vital measure of non‑performing loans and overall loan portfolio quality, but it is only one piece of the credit‑risk puzzle. A low NPL ratio can be misleading when it rests on restructurings, evergreen lending, weak provisioning, or generous definitions.
Serious investors, analysts, and risk managers always pair the NPL ratio with coverage ratio, cost of risk, portfolio breakdowns, and macro context before drawing conclusions. Used this way, NPL metrics become powerful tools for understanding bank asset quality and financial stability instead of a comforting but incomplete headline number.
FAQ: Non‑performing loans and the NPL ratio
What is the NPL ratio?
The NPL ratio is the share of non‑performing loans in a bank’s total gross loan portfolio, expressed as a percentage, and it serves as a simple indicator of credit risk and asset quality.
How is the NPL ratio calculated?
You calculate the NPL ratio by dividing the value of non‑performing loans by total gross loans and multiplying by 100, where NPLs are typically loans 90+ days past due or deemed unlikely to be repaid in full.
Why can a low NPL ratio be misleading?
A low NPL ratio can hide risks if it is achieved through restructurings, forbearance, evergreen lending, weak provisioning, or loose classification standards rather than genuine improvement in borrowers’ ability to pay.
How are non‑performing loans different from past‑due loans?
Past‑due loans can include short payment delays, while non‑performing loans are typically those with 90+ days of arrears or where the bank judges the borrower unlikely to pay in full, even if they are not yet very overdue.
Which other indicators should you look at besides the NPL ratio?
Key complementary indicators include the coverage ratio (provisions to NPLs), the cost of risk (provisions to average loans), and detailed portfolio breakdowns by sector, geography, and product.
How does a high NPL ratio affect a bank and the wider economy?
A high NPL ratio reduces profitability, ties up capital, and discourages new lending; on a system‑wide level, persistent NPL overhangs can weigh on credit growth and economic performance until they are resolved.
What level of NPL ratio is considered “normal”?
There is no universal “good” NPL ratio because acceptable levels depend on the country, business model, economic environment, and the strength of provisioning, collateral, and supervision.
Sources
- World Bank – Bank nonperforming loans to total gross loans (Glossary)
- Investopedia – Understanding Nonperforming Loans
- European Central Bank – What are non-performing loans?
- BBVA – How is a bank’s credit quality measured?
- World Bank / EBRD – Economic impacts of reducing non-performing loans
- DD Talks – Non-Performing Loans to Total Loans Ratio
- ScienceDirect – Non‑performing loan – overview and academic literature
- banksandbankers.com/category/fintech-and-innovation/
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