Paharganj 1st day Collection Box Office Report Worldwide Business Till Now: Rakesh Ranjan Kumar is coming with a mystery drama movie made under the title Paharganj – The little Amsterdam of India. The flick hit the big screens on 12th April 2019. Prakash Bhagat and Salil Sankaran collectively producing this flick under the banners of Senn Productions. Lorena Franco, Bijesh Jayarajan, Rajeev Gaursingh and Karran Jeet playing the lead role in this flick.
Paharganj 1st day Box Office Collection Prediction
Most of the shots for the movie were done in Delhi, Paharganj. And there would be four small stories in this movie which are quite interesting and will provide a different kind of drama to the audience. The flick is going to release on a limited number of screens and therefore there will not be very good opening day collection for the flick. The 1st-day box office collection for the movie is assumed to be Rs 1 Cr.
|Day||India’s Net Collection (In Cr) (Prediction)|
Paharganj 1st day Theater Occupancy Prediction
Paharganj is going to have a limited number of screens and also releasing on a weekday. The flick is going to face good competition at the box office as there are other movies which is releasing on the same day. We are expecting that movie is going to have 20-25% occupancy for the first day of the release. If the world of the mouth of the flick would be good, we can expect good occupancy for the weekend.
|Day||Theater Occupancy (Prediction)|
Paharganj 1st day Overall Collection Prediction
If you are a Delhite, there will be no need to provide an introduction for Paharganj. This is one of the most crowded and most visited places in Delhi. This movie will have most of the scenes from Paharganj and you are going to see a lot of familiar places in the flick. Being made with a low budget, the movie will have a limited lifetime.
Disclaimer: This box office data can be approximated data which is studied from various sources and by self-searches and latest box office collection does not make any claim about the authenticity of data.
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