MSME financing: A familiar problem in Indian enterprise finance has acquired a sharper edge. Many MSMEs now fund larger businesses by waiting months for payment, while banks still ask them for land, buildings or other collateral before extending working capital. A power-solutions supplier waiting 90 days for a corporate invoice, a textile unit carrying receivables for a season, or a fruit trader paid only after sale may have sales and customers. The bank file still turns first to property.
That is the weak link in MSME lending. India’s credit system continues to treat physical assets as the main signal of safety. Small businesses increasingly leave other evidence behind. GST filings, UPI receipts, bank statements, e-invoices and marketplace records show sales, payment behaviour and buyer links. Banks have more information on how these firms earn than they had a decade ago. Much of lending practice still lags that evidence.
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Finance Minister Nirmala Sitharaman has backed cashflow-based assessment for MSMEs and noted Bank of Maharashtra’s work on such lending at its foundation day in September 2024. The point is simple enough. A small business should be judged by its order cycle, payments, account conduct and cash conversion pattern, with collateral as one input rather than the starting point.
MSME financing and the credit gap
MSMEs account for about 31.1% of India’s GDP, 48.58% of exports and 35.4% of manufacturing output. More than 7.9 crore enterprises were registered on the Udyam and Udyam Assist platforms as of March 2026. The numbers explain why the financing question cannot be treated as a narrow banking problem.
The formal credit gap remains large despite guarantee schemes and new registration systems. A 2025 NITI Aayog report, prepared with the Institute for Competitiveness, found that only 19% of MSME credit demand was formally met by FY21, leaving an estimated ₹80 lakh crore unmet. Access to scheduled bank credit did improve between 2020 and 2024, but the gap did not close.
Collateral-led lending explains part of this failure. A small manufacturer with stable orders and disciplined payments may have little property to pledge. Another borrower may have assets but weak operating cash. Seasonal businesses expose the flaw more clearly. Food processors, horticulture traders and farm-linked enterprises do not fit neatly into a balance-sheet template.
Fruit cultivators are a useful example. Repayment depends on harvest quality, mandi prices, transport costs and the timing of sale. A lender looking only at collateral misses the actual risk. A lender using transaction history and cashflow sees the business cycle better.
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Cashflow lending for MSMEs
The data required for this shift already exists. GST returns show sales and purchases. UPI transactions show payment frequency. Bank statements show account discipline. E-invoices and buyer records show commercial relationships. India’s digital public infrastructure has made small enterprise activity more visible, though visibility has not yet translated into enough credit.
The aim is not to discard collateral. It is to reduce its control over lending decisions. Banks have begun using GST records and digital transaction histories for smaller-ticket loans. Formalisation through GST, Udyam, Udyam Assist and digital payments has expanded the universe of businesses that can be assessed through data rather than property documents.
The harder work lies inside banks. Sectoral credit models cannot treat a machine-parts supplier, a mango trader, a garment unit and a repair workshop as the same borrower merely because all fall under the MSME label. Repayment cycles differ. Margins differ. Buyer power differs. Lending products should reflect that.
Delayed payments and TReDS
Credit access is only one side of the problem. Delayed payment has become a parallel financing channel, except the financier is the smaller firm. The Economic Survey 2025-26 estimated that ₹8.1 lakh crore was locked in delayed payments to MSMEs. The same Survey noted the reduction in the turnover threshold for mandatory TReDS onboarding by corporates and CPSEs from ₹500 crore to ₹250 crore.
That money has already been earned. It is trapped between invoice and settlement. A supplier with a full order book may still miss wage payments, delay raw-material purchases or borrow for routine expenses because a larger buyer delays clearance. In such cases, the MSME is funding the buyer and then approaching a bank to fund itself.
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TReDS was built to address this. The RBI describes it as an electronic platform for discounting MSME trade receivables through multiple financiers, including banks and NBFC factors. The receivables may be due from corporates, government departments or public sector undertakings.
The platform has grown. Business Standard reported that FY26 invoice financing on TReDS was nearly ₹3.5 trillion. Adoption, however, remains below the size of the delayed-payment problem. Awareness is weak, onboarding is uneven and many small enterprises still treat receivables financing as a product for larger suppliers.
Expanding TReDS usage would release working capital without another subsidy programme. The harder part is buyer discipline. Large firms and government buyers often determine whether invoices can be converted quickly into cash. Without their cooperation, the platform cannot solve the payment cycle.
MSME credit needs a state lens
MSME finance also has a geography problem. Activity and credit are concentrated in a limited number of states and districts. Maharashtra, Tamil Nadu and Uttar Pradesh account for a large share of enterprises, while Uttar Pradesh and Bihar remain underserved in MSME credit relative to their enterprise base. Nearly 80% of MSME activity in Maharashtra is concentrated in a handful of districts, according to analysis cited by Business Standard.
Manufacturing-led states such as Gujarat, Karnataka and Tamil Nadu generate higher productivity and value addition than trading-led ecosystems. This matters for lending design. A district with a cluster of engineering units cannot be financed like a district dominated by small retail traders. Priority-sector lending norms should recognise emerging clusters in Tier-II and Tier-III cities rather than rely on aggregate targets.
The financing answer, therefore, is not more credit alone. India has enough registration data, payment data and invoice data to change how MSME risk is read. Banks, NBFCs, RBI-regulated platforms and state industry departments now need to use it. MSME lending should depend less on property documents and more on cash earned, invoices raised and payments received.