Shubh Mangal Zyada Saavdhan 4th Day Collection :-
Every Friday, new films releases at Bollywood Box Office. This Friday, Ayushmann’s Shubh Mangal Zyada Saavdhan and Vicky Kaushal’s Bhoot – Part One have been released. Now, Bollywood business of these two new movies is the buzz now a days everywhere. Everyone wants to know which star’s film has marks it dominance at the Box Office. Well, new movie box office collection of Shubh Mangal Zyada Saavdhan on first day is Rs. 9.55 Cr. However, Vicky’s Bhoot – Part One: The Haunted Ship has managed to get Rs. 5.10 Cr Opening day collection.

Latest Bollywood Box Office Report
Well, today is the fourth day for both the movies at the big screen. So, which one Shubh Mangal Zyada Saavdhan vs Bhoot-Part One will be dominate this week? Here, as per sources, 4th day Ayushmann’s Shubh Mangal Zyada Saavdhan movie collection is expected to be Rs. 6.5 Cr (approx.) However, Bollywood collection of Vicky’s Bhoot Part One is predicted to be Rs. 2-3 Cr (approx.)
Latest Bollywood movies collection
Although, Ayushmann and Jitendra’s Shubh Mangal Zyada Saavdhan has received good words of mouth in comparison of Vicky’s Bhoot-Part 1: The Haunted Ship, despite it performance of Vicky Kaushal in the movie is highly appreciated. As, total box office collection of Bhoot-Part 1 till Sunday is Rs. 16.36 Cr. While, SMZS has managed to earn Rs. 30.75 Cr till Sunday. Thus, box office results of these two movies is very clear.
Bhoot-Part One:The Haunted Ship movie collection
Vicky Kaushal’s Bhoot-Part 1 Fourth Day Box Office Income is expected around Rs. 2-3 Cr (approx). Shubh Mangal Zyada Saavdhan has emerged to be top grossing movies this weekend.
To know the 1st week movie collection at Bollywood Box Office, stay tuned with us. For regular updates about Bollywood Box Office Collection, follow us on social networks and stay tuned 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.
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