Haathi Mere Saathi Box Office Collection | Day Wise | Hit or Flop

Know about Haathi Mere Saathi Box Office Collection | Day Wise | Hit or Flop : Haathi Mere Saathi is one of the Best films of 2021, the movie was released on 18 September 2021. Read here Haathi Mere Saathi Box office Collection, Release date, Haathi Mere Saathi Hit or Flop..

Aranya  in Telugu, Kaadan  in Tamil, and Haathi Mere Saathi in Hindi  is a 2021 Indian action adventure film written and directed by Prabhu Solomon. Produced by Eros International, the film stars Rana Daggubati, Vishnu Vishal (Tamil and Telugu), Pulkit Samrat (Hindi), Shriya Pilgaonkar, and Zoya Hussain. It was filmed simultaneously in Tamil, Telugu, and Hindi languages, each with slightly different cast members.

Haathi Mere Saathi | Kaadan | Aranya Box Office Collection | Day Wise | Worldwide

Kaadan and Aranya are released on 26 March 2021, delayed from the initial release of 2 April 2020 due to the COVID-19 pandemic. The theatrical release of Haathi Mere Saathi was put on hold which subsequently opted for a direct-to-video release on Zee Cinema and Eros Now on 18 September 2021. The film was promoted as a comic strip by famous children’s magazine, Tinkle as Little Bandev.

Haathi Mere Saathi Box Office Collection | Day Wise

         Day   India Nett collection
Day 1 Collection ₹ 2.40 Cr
Day 2 Collection ₹ 1.80 Cr
Day 3 Collection ₹ 1.70 Cr
Day 4 Collection ₹ 0.80 Cr
Total ₹ 6.70 Cr

Haathi Mere Saathi Hit or Flop:

According to media reports, the total budget of the film Haathi Mere Saathi  was  ₹ 60 Cr. Haathi Mere Saathi had collected a total of ₹ 8.40 Cr in the Worldwide Collection.

Haathi Mere Saathi Budget ₹ 60 Cr * Approx
India Net Collection ₹ 6.70 Cr
India Gross Collection ₹ 7.90 Cr
Overseas Collection ₹ 7.90 Cr
Worldwide Collection ₹ 8.40 Cr
Haathi Mere Saathi Verdict Coming Soon

Watch: Box Office Collection

*Disclaimer: The Box Office Data are compiled from various sources and by our own research. These data can be approximate and BoxofficeDiary.com does not make any claims about the authenticity of the data.

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