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Major Unveiling: Andhra Pradesh Liquor Scam Assets Engaged
The Enforcement Directorate seized Rs 441.63 crore in assets under the Prevention of Money Laundering Act linked to a liquor scam causing up to Rs 4,000 crore loss, officials said.
- On March 06, 2026 the Enforcement Directorate attached 441.63 crore worth of properties linked to Kesireddy Rajasekhara Reddy, Booneti Chanakya and Donthireddy Vasudeva Reddy under PMLA.
- After the 2019 Assembly elections the state monopolised retail liquor outlets through manual Government Retail Outlets run by A.P. State Beverages Corporation Limited, while investigators say the automated liquor-sales system was disabled.
- Investigators detailed money-laundering routes through mule accounts and fictitious entities, spending tainted funds on real estate, gold acquisitions, and shell companies such as Olwick, Arroyo, Ezyload, Kripati.
- SIT had previously attached properties belonging to some accused, as police have identified more than 50 accused and 16 arrested persons so far.
- Investigators allege about 3,500 crore was collected as kickbacks from distilleries, with the YSRCP calling the allegations baseless, while GROs monitored supply.
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In a major action in the Andhra Pradesh liquor scam, the Enforcement Directorate has attached assets worth over ₹441 crore. According to the investigating agency, this action has been taken against several accused and companies associated with them.
ED attaches Rs 441 crore assets in Andhra Pradesh liquor scam
Hyderabad: The Enforcement Directorate (ED), Hyderabad, on Friday, March 6, attached assets worth Rs 441.63 crore of Kessireddy Rajasekhara Reddy, his family members and associated entities in connection with the alleged Andhra Pradesh liquor scam. The provisional attachment under the Prevention of Money Laundering Act (PMLA) also covers assets linked to Booneti Chanakya and his related entities, as well as relatives and entities associated with…
Coverage Details
Total News Sources12
Leaning Left2Leaning Right4Center1Last UpdatedBias Distribution57% Right
Bias Distribution
- 57% of the sources lean Right
57% Right
L 29%
14%
R 57%
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