• MSME Sector
  • Micro, Small and Medium Enterprises
  • MSME
  • GST
  • CRISIL Research
  • Goods And Services Tax
September 23, 2019

SME Report 2019

Do you know:

 

  • What will be the impact of Ayushman Bharat Yojana on small and medium hospitals?
  • Which pharma cluster has become a more attractive investment destination, post implementation of GST?
  • What is the additional source of income that North Indian sugar millers are exploring to turnaround their operations?
  • How the ban on plastics will affect the MSME packaging industry?
  • To what extent will economic slowdown hit transporters?
  • Which light engineering clusters will be less impacted by the current automobile slowdown?

At Rs 17 trillion, lending to the micro, small and medium enterprises (MSMEs) industry accounted for around 25% of corporate lending in India as of fiscal 2019. The segment continues to offer attractive business opportunities for financiers, especially with the Goods and Services Tax (GST) regime in place. The challenge lies in spotting the sectors and clusters that are likely to offer the desired risk-adjusted returns. This entails tracking the performance and risk exposure of sectors and clusters on a timely basis.

 

Benefits of the report:

 

  • Enables prudent lending
  • Identifies right geographies
  • Enhances risk monitoring
  • Offers macro micro risk perspective, from sector to company level data
  • Insights on future trends
  • Tools & databases for prospecting

 

CRISIL's SME Report addresses this by providing

 

  • Insights and outlook on business and financial prospects across sectors and clusters
  • Industry and cluster attractiveness matrices for differentiating risk and opportunity
  • Coverage across manufacturing, services and trading
  • Business and financial tools for benchmarking across clusters and sectors
  • Database of 19,000 SMEs, with key financial ratios for ~4,500 entities
  • A six-month monitoring mechanism for SME sectors and clusters
  • Views on asset quality sector-wise and cluster-wise