Crisil Raises India FY27 GDP Growth Forecast to 7%

Domestic rating agency Crisil has raised its FY27 GDP growth estimate for India to 7 per cent from its earlier projection of 6.6 per cent. Crisil Chief Economist D K Joshi attributed the upward revision to expectations of robust economic performance in the April-September period, stating, “The economy is doing well. We expect the first half to witness strong growth, while growth will slow in the second half.”

Growth Projections and Underlying Factors

The rating agency factored several macroeconomic indicators into its updated economic outlook for the fiscal year. These figures and underlying variables outline the agency’s current assessment:

• First quarter GDP growth is estimated at 7.8 per cent.
• Crude oil prices are assumed to average between $87 and $93 per barrel in FY27, compared to $70 per barrel in FY26.
• Rainfall is currently 12 per cent below the long-period average, which may impact the winter crop.
• The rupee is projected to appreciate to 93.5 against the US dollar by March 2027.

Joshi noted that reservoir levels and soil moisture will remain critical for the rabi crop and subsequent economic impact. The broader trajectory of the economy depends heavily on these seasonal and agricultural indicators.

Monetary Policy and Corporate Resilience

Crisil expects the central bank to raise the policy rate by 25 basis points each in October and December. Joshi stated that these anticipated rate hikes are unlikely to significantly hurt private capital investment due to strong corporate balance sheets.

• Corporates are currently sitting on large cash reserves and have deleveraged balance sheets.
• The Reserve Bank of India is expected to continue utilizing various tools to manage excess financial system liquidity.
• Focus on skilling is highlighted as essential to make the broad-based growth sustainable alongside technological shifts.

Artificial intelligence could automate some existing jobs while simultaneously creating new employment opportunities, following patterns seen in previous technological revolutions.