The incentive structure behind Pakistan’s SME financing gap
An entrepreneur in Pakistan can run a profitable business for years, employ workers and build supplier relationships, and still struggle to secure formal credit. Banks, meanwhile, can deploy billions into government securities with minimal effort and near zero operational risk. Why does capital flow so easily to the state but so cautiously to the businesses expected to drive growth?
It is not that banks are indifferent to entrepreneurship. Pakistani banks are rational institutions responding to the incentives, risks and information constraints built into the financial system. The SME financing gap is therefore not just a shortage of capital. It is a structural problem of information and incentives.
The scale of the gap
Pakistan has around 5.2 million SMEs, contributing roughly 40% of GDP, 25% of exports and 78% of non agriculture employment. As of March 2026, SME lending stood at Rs853.94 billion, just 7.63% of domestic private sector credit, spread across 312,355 borrowers, up 46% from Rs584.44 billion a year earlier. The growth is real, but the share remains structurally small relative to the size of the economy the sector supports.
The risk argument is often used to explain this gap, but it does not hold up cleanly. The SME nonperforming loan ratio was 9.93% in March 2026, marginally better than 10.05% in December 2025: elevated, but not extreme enough to justify near total exclusion from formal credit. The deeper issue is not simply default risk. It is the inability to measure and price that risk consistently.
A system tilted toward government securities
Pakistan’s banking system operates under a very different incentive structure. By end 2024, the sector’s asset base had reached Rs53.7 trillion, with net investments of Rs29.8 trillion against net advances of just Rs15.8 trillion. Government securities made up around 55% of banking assets. These instruments offer predictable returns, deep liquidity and minimal operational complexity. SME lending, by contrast, requires underwriting thousands of fragmented borrowers, building monitoring systems and managing ongoing credit exposure with uncertain returns. Given that trade off, the preference for government paper is rational behaviour within the current structure, not inefficiency or indifference.
Regulation and taxation are not the real bottleneck
Pakistan’s SME prudential regulations already encourage cash flow based lending, proxy indicators, programme lending and downscaling, and a dedicated technology fund supports SME loan origination systems and digital scorecards. The regulatory direction has been broadly supportive of fintech enabled SME lending for some time.
Tax policy has also been used to push banks toward lending more broadly. Since 2021, banks whose advance to deposit ratio falls below a set threshold, generally 50%, have faced an additional 10 to 16% tax on income from government securities. The measure is aimed at the banking sector’s overall private sector lending, not SMEs specifically, and it has succeeded in pulling banks toward large corporates, public sector entities and short term placements rather than small business credit. Even where this tax has pushed the sector wide advance to deposit ratio higher, SME credit has not scaled proportionally. That gap is the real lesson here: incentive pressure can change where banks lend at the margin, but it cannot fix a problem that is rooted in what banks can actually see.
The real constraint is information asymmetry
A business owner understands daily sales, supplier behaviour, seasonality and repayment patterns in granular, real time detail. A bank typically sees only fragmented financial statements, partial tax records and limited documentation. In that gap, risk becomes expensive to price, and the predictable result is collateral heavy lending, conservative credit decisions and structural under lending to SMEs. This is not unique to Pakistan; globally, SMEs are thin file borrowers, economically active but financially opaque to the institutions that could finance them.
Data is becoming credit infrastructure
Globally, lending is shifting from collateral based assessment toward data driven underwriting. Alternative data sources, including digital wallet transactions, point of sale records, utility payments, accounting software and supply chain information, are increasingly used to assess creditworthiness, and research shows these sources can improve the predictive accuracy of credit models by 5 to 20%, particularly for SMEs with limited formal credit histories. The lesson from merchant lending platforms elsewhere in South Asia is not that Pakistan should copy a specific company, but that payment data can become credit intelligence: transaction histories reveal business behaviour, and business behaviour is a more reliable underwriting signal than collateral ownership. Traditional banks ask what you own. Data driven lenders ask how your business actually behaves.
Pakistan has the activity but not the visibility
Pakistan is digitising payments quickly. In FY25, retail payments reached 9.1 billion transactions worth Rs612 trillion, up 38% in volume and 12% in value year on year, with digital channels handling more than 88% of the total. Raast alone has processed 1.9 billion transactions worth Rs44.3 trillion since launch, and QR enabled merchants have more than doubled to around 1.09 million.
This creates a structural paradox. Pakistan is generating vast amounts of financial data, but that data remains fragmented across banks, wallets, fintechs and payment platforms, with no unified mechanism to convert fragmented activity into a complete SME financial identity. Existing credit bureaus are primarily backward looking and institution driven; they do not capture real time business behaviour across the broader digital ecosystem. Open banking could eventually close this gap, and it featured as a theme in the first cohort of the regulator’s sandbox, but a sandbox pilot is not national infrastructure.
The missing layer
What Pakistan needs is a consent based SME credit intelligence framework that connects, rather than replaces, banks, fintechs and credit bureaus, aggregating data from banks, wallets, point of sale systems, payment gateways, tax records and utility payments into unified credit profiles. That would let lenders answer the questions that actually determine creditworthiness: is the business growing or shrinking, are cash flows stable or seasonal, does it depend on one customer or many, and is repayment behaviour consistent. These questions matter more than collateral, and right now almost no institution in Pakistan can answer them with confidence.
Better data infrastructure would also expand Islamic finance. Structures such as Murabaha, Musharakah and Ijarah depend on transparency of underlying trade and business activity, and reliable transaction data would make it possible to structure financing around real economic flows rather than relying primarily on collateral based screening.
The risks are real
A national SME data system is not without risk. Pakistan’s data protection framework is still evolving, and any financial data architecture must be built on strong consent mechanisms, privacy safeguards, auditability and governance rules from the start. There is also a real risk of algorithmic bias: not every digitally active SME is creditworthy, and not every creditworthy SME has a complete digital footprint. Technology improves decision making. It does not eliminate uncertainty, and it does not reduce the higher per rupee servicing cost that small loans carry regardless of how good the underlying data becomes.
The bottom line
Pakistani banks are not failing SMEs. They are responding rationally to a system that makes SME lending structurally difficult and government securities structurally attractive, which is exactly why incentive tools like the advance to deposit ratio tax can only go so far: they adjust where banks lend at the margin, but they leave the underlying constraint, the absence of a unified SME financial data layer, untouched. Pakistan does not primarily face a capital shortage. It faces a visibility problem. Capital exists, entrepreneurs exist and digital transactions are growing quickly, but the system cannot yet see SMEs clearly enough to finance them with confidence at scale. The future of SME finance will not be defined by forcing banks to lend more. It will be defined by building the infrastructure that lets them see more, because in modern finance, credit does not begin with money. It begins with information.
About Author:
Rohail Haqani is a FinTech undergraduate at FAST National University of Computer and Emerging Sciences and an aspiring fintech researcher specializing in SME finance, financial inclusion, and digital lending. His article examines how emerging technologies, alternative data, and digital financial infrastructure can transform Pakistan’s financial ecosystem. He is particularly interested in developing practical, policy-driven solutions that strengthen entrepreneurship and expand access to finance.
Contact: rohailriaz4@gmail.com
Sources Consulted
- State Bank of Pakistan, “SME Financing Data Tables, March 31, 2026.”
- State Bank of Pakistan, “Challenge Fund for Technology Adoption & Digitalization of SME Banking,” Annexure A of SH&SFD Circular No. 05, October 11, 2024.
- State Bank of Pakistan, “Financial Stability Review 2024,” Chapter 3: The Banking Sector.
- State Bank of Pakistan, “Prudential Regulations for Small & Medium Enterprises Financing,” updated October 07, 2024.
- State Bank of Pakistan, “Annual Payment Systems Review FY 2024-25.”
- State Bank of Pakistan, “Guidelines for Regulatory Sandbox,” Digital Financial Services Group.
- World Bank Group and International Committee on Credit Reporting, “The Use of Alternative Data in Credit Risk Assessment: Opportunities, Risks, and Challenges,” 2024.
- State Bank of Pakistan, Electronic Credit Information Bureau information page.
- Fiskil, “Open Finance Tracker: Pakistan.”
- Ozone API, “Open Finance Tracker: Pakistan.”
- Open Banking Expo, “State Bank of Pakistan unveils first cohort of regulatory sandbox applicants.”
- Global Government Finance, “State Bank of Pakistan regulatory sandbox first themes.”
- ICLG, “Data Protection Laws and Regulations: Pakistan.”
- The Express Tribune, “Institutional backing urged for MSMEs,” June 2026.
- Dawn, Business Recorder and pkrevenue.com reporting on advance to deposit ratio taxation, 2024-2026.
