India's Q3 FY26 GDP Growth Projected at 8.3% Due to GST Cuts
Synopsis
Key Takeaways
New Delhi, Feb 27 (NationPress) The growth of India’s gross domestic product (GDP) for the third quarter of the financial year (Q3 FY26) is anticipated to remain robust at 8.3 percent. This growth is largely attributed to increased demand spurred by the reduction in goods and services tax (GST), even in light of a challenging base effect, as outlined in a recent report.
The report from Union Bank of India indicates that the gross value added growth for Q3 FY26 is expected to rise to 8 percent, up from 6.5 percent in Q3 FY25, although it may show a slight deceleration compared to the 8.1 percent recorded in the preceding quarter.
According to the report, the GDP data for Q3 FY26, which is due to be released on February 27, is likely to reflect an impressive 8.3 percent growth, significantly higher than the 6.4 percent during the same quarter of the previous year (Q3 FY25).
Moreover, nominal GDP growth is projected to have decreased to 8.5 percent, down from 8.7 percent in Q2 and 10.3 percent in the corresponding period last year, primarily driven by a decline in the GDP deflator amid waning inflation, the report further explained.
The bank noted that these estimates utilize the previous base year, given the uncertainties regarding the impact of the upcoming base year revision on GDP figures, as conducted by the Ministry of Statistics and Programme Implementation. While the growth outlook for FY26 appears generally strong and preliminary indicators for FY27 suggest sustained momentum, annual forecasts will need to be reassessed once clarity is achieved concerning the impending GDP base revision, the report stated.
The Ministry of Statistics and Programme Implementation (MoSPI) is set to unveil the GDP data with a revised base year of 2022-23 this Friday.
The government previously announced that FY 2022-23 has been selected as the base year for the new series, and the updated inputs aim to enhance estimates across various institutional sectors, with a particular focus on private corporations and MSME-dominated activities, where data gaps have historically existed.
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