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GST Officers Detect ₹1.95 Trillion Tax Evasion in 25,397 Cases During April-January

The GST Dept. Detects 25,397 Cases During the April-January Period

Central GST officers have detected tax evasion of ₹1.95 trillion in 25,397 cases during the April-January period of the current fiscal year, Parliament was informed.

Under the shared data in the Lok Sabha, the detected total number of GST evasion cases by the central government officers in the last 5 years was 86,711 and the total detection was more than Rs 6.79 trillion.

The total number of evasion cases detected stood at 25,397, with a total detection amount of Rs 1,94,938 crore in the existing financial year up to January 2025.

In tax evasion cases, a voluntary deposit of Rs 21,520 crore was made in the period. 13,018 was the total number of ITC fraud cases in the current fiscal year, along with the amount of Rs 46,472 crore. A voluntary deposit of Rs 2,211 crore was made.

In the 2023-24 fiscal year, 20,582 evasion cases were detected involving Rs 2.30 trillion, as per the GST investigation wing data.

In the fiscal year 2022-23, GST evasion detection totalled Rs 1.32 trillion. In 2021-22, it was Rs 73,238 crore, and in 2020-21, it was Rs 49,384 crore.

Minister of State for Finance Pankaj Chaudhary stated that the Central Government and GSTN have implemented various measures to improve compliance and combat tax evasion.

These measures include providing intelligence inputs, identifying fraudulent registrations, detecting suspicious e-way bill activities, and selecting tax returns for scrutiny. Additionally, taxpayers are chosen for audits based on various risk parameters.

Read Also: GST Dept Detects ₹35,132 Crore Tax Credit Evasion; 69 Arrested, Govt Reveals

“These measures are helpful in safeguarding the revenue and nabbing the evaders. Certain projects were also undertaken such as ‘Project Anveshan’ (Analytics, Verification, Shortlisting of Anomalies) whereby newer techniques like Facial Recognition System (FRS), E-way bill data etc. were used for early identification of GSTINs with propensity for fake/ fraudulent activity to generate Intelligence reports,” Chaudhary expressed.

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