Facts of the Case
The petitioner, M/s Tulsi Ram and Company, challenged
the order passed by the First Appellate Authority rejecting its statutory
appeal solely on the ground that the mandatory 10% pre-deposit had been made
through the Electronic Credit Ledger instead of the Electronic Cash
Ledger. The appeal arose from an order passed under Section 74(9) of the
Goods and Services Tax Act, 2017 for the financial year 2017-18.
The petitioner relied upon the clarification issued by the Government of India dated 06.07.2022, which clarified that any payment towards output tax, whether self-assessed or arising from proceedings under the GST laws, can be discharged by utilizing the balance available in the Electronic Credit Ledger. Subsequently, although the petitioner also deposited the amount through the Electronic Cash Ledger, the appeal had already been rejected without adjudication on merits.
Issues Involved
- Whether
the mandatory pre-deposit required for filing a GST appeal can be made
through the Electronic Credit Ledger.
- Whether
the Appellate Authority was justified in rejecting the appeal merely
because the pre-deposit was not made through the Electronic Cash Ledger.
- Whether the appeal should have been decided on merits instead of being dismissed on a technical ground.
Petitioner’s Arguments
- The
petitioner submitted that the mandatory 10% pre-deposit had already been
made through the Electronic Credit Ledger.
- Reliance
was placed upon the Government of India’s clarification dated 06.07.2022,
which expressly permits utilization of the Electronic Credit Ledger for
payment of output tax liabilities arising under the GST law.
- It
was argued that rejection of the appeal merely because the amount was not
deposited through the Electronic Cash Ledger was contrary to the
clarification issued by the Government.
- The petitioner also pointed out that, without prejudice, the amount had subsequently been deposited through the Cash Ledger as well.
Respondent’s Arguments
The State defended the action of the Appellate Authority. However, the appeal had been rejected solely on the basis that the mandatory pre-deposit was not made through the Electronic Cash Ledger, without examining the merits of the case.
Court Order / Findings
The Allahabad High Court observed that the petitioner had
already made the required pre-deposit before the Appellate Authority and that
the authority should not insist upon payment being made only through the
Electronic Cash Ledger.
The Court held that rejection of the appeal on this technical
ground was not sustainable, particularly in view of the clarification issued by
the Government of India permitting utilization of the Electronic Credit Ledger.
Accordingly, the High Court:
- Partly
allowed the writ petition.
- Set
aside the appellate order dated 16.06.2022.
- Directed
the First Appellate Authority to decide the appeal on merits
strictly in accordance with law.
- Directed that the appeal be disposed of within one month from the date of production of the certified copy of the High Court's order.
Important Clarification
This judgment reiterates that where the statutory pre-deposit requirement has been fulfilled through the Electronic Credit Ledger, the appellate authority should not reject the appeal merely because the amount was not deposited through the Electronic Cash Ledger, especially in light of the Government's clarification permitting such utilization. The decision emphasizes that technical objections should not prevent adjudication of appeals on their merits.
Section Involved
- Section 74(9) of the Goods and Services Tax Act, 2017
Link to Download the Order
https://www.mytaxexpert.co.in/uploads/1784889318_1963compressed.pdf
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This content is shared strictly for general information and knowledge purposes only. Readers should independently verify the information from reliable sources. It is not intended to provide legal, professional, or advisory guidance. The author and the organisation disclaim all liability arising from the use of this content. The material has been prepared with the assistance of AI tools.
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