Check out Chal Mera Putt 2 3rd Day Box Office Collection here. Chal Mera Putt 2 is one of the new Punjabi movies released in March 2020. The film stars Amrinder Gill, Simi Chahal, Garry Sandhu in lead roles. Chal Mera Putt 2 Box Office Collection may definitely give a tough competition to Gippy Grewal’s Ik Sandhu Hunda Si Collection, which is still minting good amount of money. Though, Delhi Cinemas are shut down, the film may not get the expected box office collection. But, still Chal Mera Putt 2 Collection is predicted to be good. As, 1st day collection of Chal Mera Putt 2 is estimated around Rs. 40 Lakhs. Chal Mera Putt 2 Third Day Box Office Collection is expected around Rs. 55 Lakhs. 

Chal Mera Putt 2 Box Office Collection Day 3

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Chal Mera Putt 2 Box Office Collection Day 3

The film is directed by Janjot Singh and produced by Karaj Gill. The film is expected to mint a good share from overseas market. As, apart from India, New Punjabi films are much loved in Canada, Australia, UK, USA etc. Thus, Box Office Collection of Chal Mera Putt 2 is estimated to be Rs. 1.2 Cr (approx.) till today. Chal Mera Putt 2 Box Office Occupancy is estimated around 20% at silver screens.

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Chal Mera Putt 2 Box Office Collection Day 3

Chal Mera Putt 2 has released on 13th March 2020. The movie is 2nd film in Chal Mera Putt movie series. Total Worldwide Collection of Chal Mera Putt 2 is estimated around Rs. 1.3 Cr. Well, apart from Ik Sandhu Hunda Si, Yaar Anmulle Returns Box Office Collection may also hinder Chal Mera Putt 2 Box Office Business in coming days.

Chal Mera Putt 2 Box Office Collection Day 3

Chal Mera Putt 2 Box Office Collection Day 3

To know the 1st weekend movie earnings of Chal Mera Putt 2 at Pollywood Box Office, stay tuned with us. For regular updates about Pollywood Box Office Collection, follow us on social networks and stay tuned with us at boxofficecollection2020.com

Disclaimer: The Box office Collection data is gathered from various sources and research. These collection figures are approximate and we do not claim the authenticity of the data.