All three new Bollywood releases this week – Paltan, Laila Majnu, and Gali Guleiyan – have opened to disastrously low collections at the box-office. Paltan got the widest release of the three films and carried more appeal than the other two, and as such has taken the best start of the three, but it’s hardly noteworthy. In fact, the day one figure of Paltan is almost the same as that of Director J.P. Dutta’s all-time blockbuster, Border, which had released way back in 1997.
Laila Majnu has found even lower acceptance in cinema halls as the trailer itself didn’t manage to generate any interest with the audience. A film with the same title, starting evergreen star Rishi Kapoor, had released back in 1976, and turned out it be a blockbuster. 2018’s Laila Majnu will fall short of that film’s lifetime business, without even adjusting the nett figures for inflation.
Gali Guleiyan is a complete washout from day one itself. Almost no one has gone to see the film and that’s reflected in the non-existent box-office numbers. Not many knew that it was releasing, and those who were aware, appeared uninterested in it. This Manoj Bajpayee starrer never seemed a good fit for a theatrical release; it should have ideally gone straight to a web-streaming service like Netflix, where it would have found a larger audience.
The combined business of all three new Hindi releases on day one isn’t even half of that of the latest Hollywood film, The Nun, which was the first choice for moviegoers outside urban centers, too, and looks destined to continue to be so for the remainder of the week.
|Film||Day One Nett Collection|
|The Nun||7.75 crore|
|Laila Majnu||47 lakh|
|Gali Guleiyan||10 lakh|
Not even a miracle can now save Paltan, Laila Majnu, and Gali Guleiyan at the box-office.
Image Source: Zee, Balaji, and PVR
Disclaimer: Our box-office figures have been compiled from reliable sources and our own extensive research, and are indicative of the film’s performance in the trade. However, Movified doesn’t claim any legitimacy over the accuracy of the data, and cannot be held responsible for any discrepancy in the same.