GST Details of ALL IN ONE ENTERPRISES   07GELPS0307R1ZT   Delhi

Details

Trade Name

all in one enterprises

Legal Name

deep shikha

Registration Status

InactiveRegular

Cancellation Date

29/09/2017

Registration Date

01/07/2017

Entity Type

Proprietorship

Place of Business (Address)

IIIRD FLOOR, B/15, PUNJABI BASTI, NANGLOI MARKET, NANGLOI, West Delhi, Delhi, 110041

E-Invoice mandatory?

No, Not mandatory

Aggregate Turnover

Central Jurisdiction

State - CBIC, Zone - DELHI, Commissionerate - DELHI WEST, Division - MUNDKA, Range - RANGE - 114

State Jurisdiction

State - Delhi, Zone - Zone 5, Ward - Ward 62 (Jurisdictional Office)

GSTIN profile last fetched on Fri Oct 25 2024 and GST Returns status last fetched on Mon Jun 02 2025.

Recent GST Returns As on Mon Jun 02 2025

The latest GSTR3B was filled for the period March 2017-2018. The latest GSTR3B was filled for the period April 2018-2019.

GSTR3B
FYPeriodFiling Date
2018-2019April24 May 2018
2017-2018March20 Apr 2018
2017-2018February24 Mar 2018
2017-2018January26 Feb 2018
2017-2018December22 Jan 2018
2017-2018November19 Dec 2017
2017-2018October21 Nov 2017
2017-2018September18 Oct 2017
2017-2018August21 Sep 2017
2017-2018July25 Aug 2017
GSTR1
FYPeriodFiling Date
2017-2018March30 Apr 2018
2017-2018December07 Feb 2018
2017-2018September29 Dec 2017
2017-2018July06 Sep 2017
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
  • 70131000
  • 85171110
  • 69111011
  • 62101000
  • 39261011
Business Owners

deep shikha

Other GSTIN of the PAN
Return Periodicity
2022 Q1 M
2022 Q2 M
2022 Q3 M
2022 Q4 M
2021 Q1 M
2021 Q2 M
2021 Q3 M
2021 Q4 M
Business Activities
  • Retail Business
  • Wholesale Business
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.