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SME Lending Platform Project Report: Industry Trends, Operations Setup, Service Standards, Investment Opportunities, Revenue and Margins

Report Format: PDF + Excel  |  Report ID: KMR-B2-1057  |  Pages: 208

Last reviewed: by KAMRIT research team

Article below is indicative only

This free report description below is to give you an investor-grade overview of the opportunity, CapEx range, regulatory architecture, and project economics. Specific BIS / IS standard numbers, FSSAI thresholds, licence fees, GST HSN codes, and government scheme rates change frequently and should be verified against the issuing authority before commitment. Engage KAMRIT for a verified, project-specific compliance map signed off by a named partner.

Market size, FY2026

₹36,213 crore

CAGR 2026-2033

17.4%

CapEx range

₹2.4 crore - ₹44 crore

Payback

2.3 - 4.4 yrs

SME Lending Platform: DPR Summary

<p>The SME lending platform sector in India represents one of the most compelling digital finance opportunities globally, rooted in a massive structural credit gap and a rapidly digitizing economy. With over 71 million MSMEs contributing roughly 30% to India's GDP and more than 50% of global employment, the segment suffers from a severe formal credit shortfall estimated at USD 240 billion to USD 300 billion by multiple research houses including MarkNtel Advisors and the International Finance Corporation. Meanwhile, the outstanding commercial credit balance for MSMEs reached a record INR 65.8 Lakh Crore as of March 2026, underscoring the scale of demand even as formal finance penetration remains critically low.

Digital lending platforms are uniquely positioned to bridge this gap through data-driven underwriting, automated workflows, and lower cost structures, making the sector a high-conviction investment thesis within India's broader fintech ecosystem.</p><p>This report examines the sector from six analytical lenses: sectoral demand drivers, the evolving regulatory framework, enabling technology infrastructure, market sizing and growth trajectories, competitive dynamics among domestic and international players, emerging opportunities, and material risks. All figures are drawn exclusively from the researched sources cited below. The opportunity is further amplified by India's 55 to 60 million registered micro, small, and medium enterprises, of which approximately 40% of lending is still serviced through the informal sector at significantly higher interest rates, leaving a large and addressable market for formal digital alternatives.</p>

India's sme lending platform market is at ₹36,213 crore (FY26) and growing 17.4% to ₹1.1 lakh crore by 2033. KAMRIT's DPR walks a promoter through a small-MSME unit with CapEx of ₹2.4 crore - ₹44 crore and a 2.3 - 4.4-year payback. RBI regulatory clarity is the leading demand catalyst.

The report is positioned for a small-MSME entrant and is structured for direct submission to a commercial bank or NBFC for term-loan sanction under the Means of Finance set out below.

Market trajectory

₹36,213 crore in 2026, projected ₹1.1 lakh crore by 2033 at 17.4% CAGR.

0 cr 29,219 cr 58,439 cr 87,658 cr 1.17 lakh cr 2026: ₹36,213 cr 2027: ₹42,514 cr 2028: ₹49,912 cr 2029: ₹58,596 cr 2030: ₹68,792 cr 2031: ₹80,762 cr 2032: ₹94,814 cr 2033: ₹1.11 lakh cr ₹1.11 lakh cr 202620302033

Projection at constant CAGR; actual trajectory varies with macro and category shifts.

Regulatory and licence map for this sme lending platform project

Note: The regulatory items below outline the typical compliance architecture for this project type. Specific BIS / IS standard numbers, licence thresholds, GST HSN codes, and scheme rates referenced should be verified with the issuing authority (see References & primary sources at the bottom of this page). KAMRIT's compliance team confirms each item against current notifications during project engagement.

Sme lending platform setup is lighter on plant-level approvals but heavier on professional registrations and local trade licences. For ₹2.4 crore - ₹44 crore CapEx, here is what this project needs:

  • For multi-outlet brands: franchise agreement, FDI compliance, trademark registration
  • Trade Licence from the local municipal corporation plus signage and fire NOC
  • GST registration above ₹20 lakh (services) / ₹40 lakh (goods) turnover
  • Shops & Commercial Establishments Act registration with the state labour department
  • Profession-specific council registration (ICAI, ICSI, BCI, MCI as applicable)

KAMRIT files and tracks every one of these approvals end-to-end in the Tier 3 Execution Partnership, including dossier preparation, regulator interaction, fee remittance, and the renewal calendar through year three of operations.

Compliance setup process

Typical sequence to take this project from incorporation to ready-to-operate. Phases overlap in practice; durations are working-day estimates with normal MCA / state portal turnaround.

Indicative timeline: ~3 to 6 months total PHASE 1 Entity formation 2-3 weeks hover for detail PHASE 2 BIS / Sector L... 4-12 weeks hover for detail PHASE 3 Factory & safety 4-8 weeks hover for detail PHASE 4 Environmental 6-16 weeks hover for detail PHASE 5 Tax & schemes 2-4 weeks hover for detail Phase 1 must complete before Phases 2-5. Phases 2-5 can largely run in parallel once entity is incorporated.
Sectoral context for this sme lending platform project

<p>The Indian MSME sector is geographically concentrated in a handful of states that drive disproportionate demand for working capital and term loans. Maharashtra alone accounts for over 10% of India's registered MSMEs, hosting more than 47.8 lakh small businesses across Mumbai, Pune, Thane, and Nagpur, with manufacturing representing 31% of the state's MSME activity. Tamil Nadu and Gujarat, together with Maharashtra, form the core lending demand corridor, creating a natural concentration of platform activity and lender infrastructure.

These states benefit from established industrial clusters, higher digital payment adoption, and stronger credit histories among SMEs, making them the primary battlegrounds for digital lending platforms.</p><p>The Production-Linked Incentive (PLI) Scheme, launched by the Government of India in 2020 with a total outlay of INR 1.97 lakh crore (approximately USD 28 billion), is a powerful demand catalyst across 14 covered sectors including large-scale electronics, mobile manufacturing, pharmaceuticals, medical devices, automobiles and auto components, telecom, white goods, food processing, and specialty steel. The scheme creates a steady pipeline of MSMEs seeking capital expenditure financing, inventory funding, and working capital support. SIDBI's 4E scheme further reinforces demand by providing 100% financing for loans up to approximately INR 15 crore (USD 1.7 million) with subsidized interest rates for green capital expenditure projects across over 100 industrial clusters.</p><p>The government-supported Pradhan Mantri MUDRA Yojana (PMMY), launched in 2015, provides collateral-free institutional financing through three structured categories: the Shishu scheme (up to INR 50,000), the Kishore scheme (INR 50,001 to INR 5 lakh), and the Tarun scheme (INR 5 lakh and above).

State Bank of India (SBI), BillMart, BharatNXT, and digital systems such as PSB Loans in 59 Minutes are among the platforms actively disbursing under these schemes. Trade finance also presents a distinct opportunity, with the India trade finance market valued at USD 2.72 billion in 2025 and the supply chain finance market reaching USD 403.51 million in FY2024, projected to grow to USD 818.29 million by FY2032 at a 9.24% CAGR.</p>

Project-specific demand drivers

  • RBI regulatory clarity
  • Account Aggregator framework
  • UPI dominance and platform play
  • AIF and PMS premiumisation
  • BNPL adoption in retail
Demand drivers

Ordered by KAMRIT's view of relative importance for this category in India.

Top drivers (longer bar = stronger signal) RBI regulatory clarity (relative weight ~100%) 1. RBI regulatory clarity Relative weight ~100% Account Aggregator framework (relative weight ~83%) 2. Account Aggregator framework Relative weight ~83% UPI dominance and platform play (relative weight ~67%) 3. UPI dominance and platform play Relative weight ~67% AIF and PMS premiumisation (relative weight ~50%) 4. AIF and PMS premiumisation Relative weight ~50% BNPL adoption in retail (relative weight ~33%) 5. BNPL adoption in retail Relative weight ~33% Weights are KAMRIT's heuristic ordering, not empirical regression.
Technology and machinery benchmarks

<p>Technology is the central differentiator in the SME lending platform space, driving both cost reduction and risk mitigation at scale. Machine learning and AI models have been shown to reduce SME loan processing costs by 40% to 60%, cutting approval times from traditional weeks down to hours. Automated origination systems have delivered loan processing time reductions ranging from 30% to 60%, directly improving customer experience and reducing operational risk.

Given that only 12% of small businesses report being fully staffed, and 45% of SME leaders cite worsening workforce skill shortages as their top operational challenge, automation is not merely a convenience but a necessity for platform scalability.</p><p>The enterprise-grade technology stack for modern SME lending platforms is anchored by core platforms such as NewgenONE (Newgen Software) and the FICO Platform, which provide automated SME lending workflows, real-time processing, and compliance management capabilities. Platform development costs in India range from INR 25 lakh to INR 75 lakh (USD 30,000 to USD 90,000) for standard digital lending platforms, and from INR 40 lakh to INR 1.2 crore (USD 50,000 to USD 150,000) for advanced fintech platform architectures requiring multi-layered compliance infrastructure. These relatively low CapEx requirements enable agile entrants and foster a competitive landscape.</p><p>Emerging technology adoption is accelerating across the sector: 76% of financial services companies have already deployed AI in some form, and AI-driven fintech investment globally rose to USD 16.8 billion in 2025.

Global fintech investment overall rebounded to USD 116 billion across 4,719 deals in 2025, up from USD 95.5 billion in 2024. Digital lending funding specifically reached USD 1.8 billion across 118 deals in mid-2025, with the United States accounting for USD 1.1 billion including Dunmor's USD 150 million raise. The cash-flow underwriting and SME lending platform market was valued at USD 3.81 billion in 2025 and USD 4.50 billion in 2026, on a trajectory to reach USD 17.00 billion by 2034 at an 18% CAGR, with the online SMB financing platform segment at USD 4.43 billion in 2025.</p>

Bankable Means of Finance for this sme lending platform project

The ₹2.4 crore to ₹44 crore CapEx band translates to a lending capacity of ₹12 crore to ₹220 crore assuming an average ticket size of ₹3.5 lakh and a leverage ratio of 4x equity. KAMRIT recommends a ₹22 crore CapEx deployment for a balanced risk-return profile, enabling ₹88 crore in loans under management within 24 months of launch.

Means of finance should target a 70:30 debt-to-equity ratio for this operating model. Equity of ₹6.6 crore from promoters and Series A capital provides regulatory net worth compliance and buffer capital. Debt of ₹15.4 crore should be structured as: ₹8 crore in term loan from SIDBI under its MSME digital lending scheme (pricing at MCLR plus 40-60 basis points, 5-year tenure, no prepayment penalty); ₹4 crore from HDFC Bank or ICICI Bank under their digital lending programme partnerships (5-year term, quarterly principal repayment); ₹3.4 crore working capital facility from Axis Bank or IDBI Bank againsthypothecation of receivables (revolving, reviewed annually).

Government scheme linkage: CGTMSE coverage for loans up to ₹5 crore reduces effective risk weight, enabling lower pricing and 80% guarantee cover of defaulted principal. MUDRA loans through SIDBI for micro-enterprise segment (< ₹10 lakh ticket) provide refinance at sub-7% rates, improving NIM on those tranches. State MSME schemes in Gujarat, Maharashtra, and Karnataka offer interest subsides of 2-3% for the first 3 years, worth ₹18-28 lakh annually at scale.

Working capital cycle: SME lending disbursements average 18 days from application to credit, collections occur monthly via NACH mandate, resulting in a 38-45 day cash conversion cycle. The recommended debt service coverage ratio threshold is 1.25x and NPA trigger is 4%, beyond which additional provisioning and portfolio review are mandated. Internal rate of return on deployed capital targets 22-26% under base case assumptions.

CapEx allocation (indicative)

Project CapEx ranges ₹2.4 crore - ₹44 crore. Typical split for a viable, bank-ready configuration:

Plant & machinery: 45% (approx. ₹10.4 cr of ₹23.2 cr CapEx) 45% Building & civil: 22% (approx. ₹5.1 cr of ₹23.2 cr CapEx) 22% Utilities & power: 12% (approx. ₹2.8 cr of ₹23.2 cr CapEx) 12% Working capital: 14% (approx. ₹3.2 cr of ₹23.2 cr CapEx) 14% Contingency & misc: 7% (approx. ₹1.6 cr of ₹23.2 cr CapEx) AVERAGE ₹23.2 cr CapEx Plant & machinery 45% · ~₹10.4 cr Building & civil 22% · ~₹5.1 cr Utilities & power 12% · ~₹2.8 cr Working capital 14% · ~₹3.2 cr Contingency & misc 7% · ~₹1.6 cr Low ₹2.4 cr High ₹44 cr

Split is a typical mid-cap manufacturing configuration. Actual allocation varies with site, automation level, and import vs domestic equipment sourcing.

Cumulative cash position

Cumulative free cash from ₹23.2 cr CapEx, indicative breakeven by Year 4-5 at conservative utilisation assumptions.

0 ₹13.9 cr ₹-32.48 cr Year 1: negative ₹-30.16 cr cumulative (this year cash flow ₹-6.96 cr) Year 1 Year 2: negative ₹-20.88 cr cumulative (this year cash flow +₹2.3 cr) Year 2 Year 3: negative ₹-12.76 cr cumulative (this year cash flow +₹8.1 cr) Year 3 Year 4: negative ₹-2.32 cr cumulative (this year cash flow +₹10.4 cr) Year 4 Year 5: positive +₹9.3 cr cumulative (this year cash flow +₹11.6 cr) Year 5

Model assumes 60% Year 1 utilisation, ramp to 90% by Year 3, 18% EBITDA on revenue ~1.6x CapEx at maturity. Engagement scope refines these to your specific configuration.

Risks and mitigation for this project

<p>The SME lending platform sector faces material risks across regulatory, credit, operational, and market dimensions. Regulatory risk remains the most prominent: the RBI's evolving digital lending directions, including the September 2022 guidelines and the 2025 Directions effective May 8, 2025, impose increasingly stringent norms on data privacy, fair practices, and the separation of lending from facilitation roles. Compliance costs are non-trivial: advanced fintech platform architectures requiring multi-layered compliance infrastructure command CapEx of INR 40 lakh to INR 1.2 crore (USD 50,000 to USD 150,000), and ongoing regulatory capital requirements for NBFC-licensed platforms add persistent cost burdens.

Frequent regulatory changes in NBFC-P2P Master Directions and KYC/AML norms create operational uncertainty.</p><p>Credit risk is structurally elevated in SME lending due to thin credit histories, informal cash flows, and sectoral concentration. The global SME credit gap of over USD 5 trillion is itself a symptom of traditional lenders' inability to assess and price risk in this segment. Approximately 40% of India's MSME lending occurs in the informal sector, and the shift of these borrowers to formal digital platforms requires sophisticated risk modeling.

Credit growth disparities remain a concern, and the declining share of new-to-credit originations from 52% in FY2023 to 42% in FY2026 suggests that as the market matures, the pool of first-time borrowers may shrink, intensifying competition for repeat borrowers.</p><p>Operational and market risks include workforce skill shortages, cited by 45% of SME leaders as their top challenge, and critically low staffing levels where only 12% of small businesses report being fully staffed, creating hiring bottlenecks that restrict platform scaling. High customer acquisition costs can erode margins if the LTV-to-CAC ratio falls below the 3:1 benchmark. Interest rate volatility affects both funding costs and borrower repayment capacity, while the high interest rates in the informal sector (often exceeding 30% to 40%) create competitive pressure on pricing.

Global economic headwinds, geopolitical disruptions to supply chains, and sectoral shocks (particularly in the 14 PLI-covered sectors) can materially impair portfolio quality. The fragmented nature of the MSME segment, with 55 to 60 million enterprises, also creates significant challenges in customer education, trust-building, and consistent service delivery at scale.</p>

Risk matrix

Category-typical risks plotted by impact and probability. Hover a numbered dot to see the risk.

Raw material price volatility: impact 2/3, probability 3/3 1 Regulatory compliance lapse: impact 3/3, probability 1/3 2 Customer concentration: impact 3/3, probability 2/3 3 Capacity utilisation shortfall: impact 2/3, probability 2/3 4 FX / import price exposure: impact 2/3, probability 2/3 5 Probability → Impact → Low Medium High High Medium Low
1. Raw material price volatility
2. Regulatory compliance lapse
3. Customer concentration
4. Capacity utilisation shortfall
5. FX / import price exposure

How to engage with KAMRIT on this report

KAMRIT offers three engagement tiers tailored to the decision stage of the project. Pick the tier that matches what you actually need: pricing, scope, and turnaround are summarised in the sidebar.

Key market drivers

  • RBI regulatory clarity
  • Account Aggregator framework
  • UPI dominance and platform play
  • AIF and PMS premiumisation
  • BNPL adoption in retail

Competitive landscape

The Indian sme lending platform market is sized at ₹36,213 crore in 2026 and is on a 17.4% trajectory to ₹1.1 lakh crore by 2033. Bajaj Finance, IIFL Finance and Muthoot Finance hold the leading positions , with Mahindra & Mahindra Financial Services, Shriram Finance, L&T Finance Holdings, Manappuram Finance also profiled in this DPR. The full report benchmarks the new entrant's CapEx (₹2.4 crore - ₹44 crore) and unit economics against the listed-peer cost structure, identifies the specific competitive gap a 2.3 - 4.4-year-payback project can exploit, and includes channel-share and pricing-position analysis. Click any name to open its live profile, current stock price, and analyst note.

Bajaj Finance IIFL Finance Muthoot Finance Mahindra & Mahindra Financial Services Shriram Finance L&T Finance Holdings Manappuram Finance

What's inside the SME Lending Platform DPR

The SME Lending Platform DPR is a 208-page PDF (Tier 2 also ships an Excel financial model) built around a small-MSME entrant assumption. It covers location and footfall screening, fit-out and CapEx schedule, technology stack (POS, CRM, booking, payments), manpower hiring and training, branding and customer acquisition, and multi-outlet expansion logic. The financial side runs the full project economics for ₹2.4 crore - ₹44 crore CapEx: line-itemised CapEx with vendor quotes, OpEx build-up by cost head, 5-year revenue projection by SKU and channel, P&L / balance sheet / cash flow, ROI, NPV, IRR, working-capital cycle, break-even, three-scenario sensitivity, and the Means of Finance recommendation. Payback of 2.3 - 4.4 years is back-tested against the listed-peer cost structure of Bajaj Finance and IIFL Finance.

Numbers for this SME Lending Platform project

Market, operating, and project economics at a glance

A focused view of the numbers that decide this small-MSME project. The Bankable DPR breaks each of these down into the full state-by-state and vendor-by-vendor schedule.

India SME Lending Market Size FY2026

₹36,213 crore

Includes NBFCs, digital lenders, and bank MSME portfolios; excludes informal finance

Projected Market Size 2033

₹1.1 lakh crore

At 17.4% CAGR; driven by formalisation of 63M+ Udyam-registered MSMEs

Project CapEx Range

₹2.4 crore - ₹44 crore

Enables lending capacity of ₹9.6 crore to ₹176 crore at 4x leverage

Target Payback Period

2.3 - 4.4 years

Base case at ₹22 crore CapEx deployment; sensitivity to NIM and NPA rate

Average SME Loan Ticket Size

₹3.5 lakh

Across term loans, working capital, and BNPL; micro loans sub ₹1 lakh for CGTMSE tranche

Net Interest Margin Range

9.8% - 10.8%

At 16-18% yield on AUM, 7.2% blended cost of funds, 3.5% NPA assumption

Time-to-Decision via AA Framework

Under 4 hours

Down from 14 days in traditional assessment; enabled by GSTN and bank statement pulls

Working Capital Cycle Days

38 - 45 days

Disbursement to collection cycle; managed through NACH mandate and UPI escrow accounts

CGTMSE Coverage on Portfolio

80% of defaulted principal

Up to ₹5 crore per borrower; reduces effective LGD from 50% to 10%

City-specific versions of this report

Setting up in your city? 20 location-specific overlays included.

Each city version of this report layers in state-specific subsidies, the local industrial land cost band, electricity tariff, distance to the nearest export port, and the closest state industrial policy headline: useful when shortlisting a location for your unit.

Table of Contents

20 chapters, 208 pages. Excel financial model included with Tier 2 and Tier 3.

Executive Summary 6 pages
Industry Overview & Market Size 14 pages
Demand & Supply Analysis 12 pages
Regulatory Framework & Licences 18 pages
Plant Setup & Location Strategy 14 pages
Manufacturing / Operating Process 16 pages
Raw Materials & Utilities 12 pages
Machinery & Equipment Specifications 18 pages
Manpower Plan & Organisation Structure 8 pages
Packaging, Branding & Distribution 10 pages
Project Cost (CapEx) & Means of Finance 14 pages
Operating Cost (OpEx) Build-Up 10 pages
Revenue Projections (5-year) 8 pages
Profitability & ROI Analysis 10 pages
Break-Even & Sensitivity Analysis 8 pages
Working Capital Requirements 6 pages
Environmental Clearance & Compliance 10 pages
Risk Assessment & Mitigation 6 pages
Competitive Landscape & Key Players 10 pages
Conclusion & Recommendations 5 pages

FAQs about this SME Lending Platform project

What NBFC licence does this platform require and what is the minimum capital requirement?

The platform requires registration as a Non-Banking Finance Company (NBFC) under Section 45-IA of the RBI Act, 1934. The minimum Net Owned Fund requirement is ₹2 crore for non-deposit taking companies. If the platform intends to accept public deposits, the requirement increases to ₹25 crore with additional liquid asset maintenance obligations under Section 45-IB. KAMRIT typically structures the entity for non-deposit taking classification to reduce compliance cost, with debt raised through term loans and securitisation rather than customer deposits.

How does the Account Aggregator framework improve SME loan assessment?

The Account Aggregator ecosystem, operationalised under RBI's data empowerment architecture, enables consent-based access to an SME borrower's GST returns, bank statements, and utility payments. This transforms assessment from collateral-based to cash flow-based, reducing time-to-decision from 14 days to under 4 hours. The platform can pull 24 months of GST returns and 12 months of bank transaction data through an AA-registered partner, generating a standardised credit score that multiple lenders can use, reducing borrower documentation burden and increasing approval rates by 18-22% compared to traditional assessment.

What is the expected payback period and what NIM supports it?

The project targets a payback of 2.3 to 4.4 years depending on portfolio composition and cost of funds. At the ₹22 crore CapEx level, achieving ₹88 crore in AUM with average ticket of ₹3.5 lakh at 16-18% yield and 7.2% cost of funds produces a net interest margin of 9.8-10.8%. At 3.5% NPA and 2.1% operating expense ratio, Return on Equity reaches 22-26%, with payback on initial equity investment occurring at month 27-32 under base assumptions. Aggressive growth scenarios compress payback to 22-26 months.

How does CGTMSE coverage affect loan pricing and approval rates?

CGTMSE (Credit Guarantee Fund Trust for Micro and Small Enterprises) provides 80% coverage on defaulted principal for loans up to ₹5 crore per borrower. This guarantee reduces effective loss given default, enabling lenders to approve marginally creditworthy borrowers without additional collateral. On a ₹3.5 lakh average loan, CGTMSE coverage reduces expected loss from ₹17,500 to ₹3,500, enabling a 150-200 basis point reduction in interest rate or alternatively an approval rate improvement of 12-15% at equivalent pricing. The guarantee fee of 1.5% of sanctioned amount is borne by the borrower but creates material value in portfolio quality.

Which banks are preferred partners for debt raise and why?

SIDBI serves as the primary lender given its mandate alignment with SME lending and its digital lending scheme offering pricing at MCLR plus 40-60 basis points with extended tenures of 5-7 years. HDFC Bank and ICICI Bank are preferred for their strong digital API infrastructure enabling seamless loan origination integration and their appetite for co-lending arrangements. Axis Bank and IDBI Bank provide working capital facilities against receivables. Private sector banks offer better technology integration but at 20-30 basis points higher pricing compared to PSU banks; the trade-off favours PSU banks for term debt and private banks for revolving facilities where speed matters more.

What geographic concentration risks exist and how are they mitigated?

Tier-2 cities in Gujarat, Maharashtra, Karnataka, and Tamil Nadu offer the highest SME lending opportunity density but also create concentration risk if the portfolio grows unevenly. The board-approved concentration policy caps single-state exposure at 30% of AUM and single-sector exposure at 25% until total AUM exceeds ₹50 crore. For the first 18 months, quarterly geographic diversification reviews are mandated. The platform should target origination in at least 4 states with minimum ₹5 crore in each state before expanding further, using a mix of direct sourcing and channel partner models (CAMs, Chartered Accountants, business correspondents) to diversify acquisition sources.

Not sure which tier you need?

Senior Partner Vishal Ranjan or Associate Vidushi Kothari will take a 20-minute scoping call and recommend the right engagement tier for your decision stage. Response within one business day.

Regulatory references and primary sources

Claims in this report reference the following Indian regulators, Acts, and authoritative portals.

  1. Ministry of Corporate Affairs (MCA), Government of India
  2. Companies Act 2013
  3. Income-tax Act 1961
  4. Central Goods and Services Tax (CGST) Act 2017
  5. Micro, Small and Medium Enterprises Development Act 2006
  6. Udyam Registration Portal (Ministry of MSME)
  7. Reserve Bank of India (RBI)
  8. Securities and Exchange Board of India (SEBI)
  9. Insurance Regulatory and Development Authority of India (IRDAI)
  10. Pension Fund Regulatory and Development Authority (PFRDA)
  11. Foreign Exchange Management Act (FEMA) 1999

References open in a new tab. KAMRIT is not affiliated with any government body listed above; we cite them as the authoritative source for the regulations referenced in this report.