GST Details of PHOENIX AUTOMATION   33DGLPD0384N1Z7   Tamil Nadu

Details

Trade Name

phoenix automation

Legal Name

dhanalakshmi

Registration Status

Cancelled suo-motoRegular

Cancellation Date

28/02/2022

Registration Date

27/07/2021

Entity Type

Proprietorship

Place of Business (Address)

2/65, WATKINS ROAD, PERAMBUR, Chennai, Tamil Nadu, 600011

E-Invoice mandatory?

No, Not mandatory

Aggregate Turnover

Central Jurisdiction

Commissionerate - CHENNAI-NORTH, Division - ROYAPURAM, Range - RANGE I

State Jurisdiction

State - Tamil Nadu, Division - CHENNAI NORTH, Zone - North-III, Circle - VILLIVAKKAM (Jurisdictional Office)

GSTIN profile last fetched on Fri Oct 13 2023 and GST Returns status last fetched on Fri Jul 28 2023.

Recent GST Returns As on Fri Jul 28 2023

The latest GSTR3B was filled for the period February 2021-2022. The latest GSTR3B was filled for the period February 2021-2022.

GSTR1
FYPeriodFiling Date
2021-2022February30 Apr 2022
2021-2022January30 Apr 2022
2021-2022December30 Apr 2022
2021-2022November30 Apr 2022
2021-2022October30 Apr 2022
2021-2022September11 Apr 2022
2021-2022August11 Apr 2022
GSTR3B
FYPeriodFiling Date
2021-2022February30 Apr 2022
2021-2022January30 Apr 2022
2021-2022December30 Apr 2022
2021-2022November30 Apr 2022
2021-2022October30 Apr 2022
2021-2022September30 Apr 2022
2021-2022August11 Apr 2022
FAQs
Compliance Classification
Feature in Beta, classifications may be inaccurate.
Green
Green compliance classification indicates that this GSTIN has filled last 4 GSTR1 on or before due date.
HSN / SAC
  • 85012000
  • 85013430
  • 995411
Business Owners

dhanalakshmi

Other GSTIN of the PAN

No other GSTIN found for this PAN

Return Periodicity
2021 Q2 M
2021 Q3 M
2021 Q4 M
Business Activities
  • Office / Sale Office
  • Works Contract
  • Supplier of Services
Similar GSTIN
Similarity is determined through the use of HSN and Pincode, and the list is refreshed periodically.

No similar GSTIN found

The information on this page is generated using publicly accessible data and machine learning models. We make regular updates to this content; however, we do not assume responsibility for ensuring its ongoing accuracy. Please be aware that we do not entertain takedown requests. If you believe the information is incorrect, please contact the GST Department for assistance.

If you have suggestions on improving this page, please send an email detailing the change/s you would like to see. The email is mentioned at the bottom of this page.