Skip to main content

DCIT vs Kotak Mahindra Bank Limited

Case No: ITA No.4819/Mum/2025
Court: Income Tax Appellate Tribunal Mumbai Bench ‘E’, Mumbai
Date: 1/29/2026

Parties Involved

appellantDCIT
respondentKotak Mahindra Bank Limited

Facts Summary

The instant appeal was filed by the revenue against the order of the NFAC, Delhi, passed under section 250 of the Income-tax Act, 1961, for the Assessment Year 2018-19. The impugned order was passed by the Learned Assessment Unit, Income-tax Department, under section 147 read with section 144B of the Act. The revenue argued that the reassessment was initiated based on information and inference from a revenue audit objection, which constituted valid reasons to believe under section 147 of the Act. The respondent, Kotak Mahindra Bank Limited, argued that the reopening was based solely on a mere change of opinion and in the absence of any new tangible material. The bank had claimed deduction under section 35D of the Act in respect of expenses incurred on the Qualified Institutional Buyers (QIB) issue during F.Y. 2013-14.

Decision in favour of

Revenue

Legal Issues

  • 1. Whether the Ld. CIT(A) has erred in holding that reopening is not sustainable due to lack of new tangible material.
  • 2. Whether the Ld. CIT(A) has erred in relying upon certain High Court and Supreme Court decisions without distinguishing them on facts.
  • 3. Whether the Ld. CIT(A) failed to appreciate that expenses incurred in connection with QIBs are not eligible for amortization under section 35D of the Act.

Judgment Outcome

Decided in favour of Revenue.

Precedents Relied Upon

5 precedents cited in this judgement.

Opakhya LogoOpakhya

AI-powered tax-litigation platform. Find precedents using natural language, draft submissions in minutes, and run your entire case repository from a single secure workspace.

© 2025 Opakhya. All rights reserved.

Core Features

Additional Features

  • Smart Comments
  • Export Options
  • Quick Copy
  • Analytics Dashboard
Version 2.0.1Last updated: October 2025
Powered by AI & Machine Learning