Highest Opening Weekend Grossing Movies 2017: Raees, Badrinath Ki Dulhania and Jolly LLB are the top opening weekend grossers of 2017 till 17 April 2017.
Blog to Bollywood presents the list of top opening weekend grossers of 2017. This list includes the movie name, star cast, opening weekend collection of the Bollywood movies releasing in 2017. (Read: Bollywood Box Office Report 2017)
It’s been a decent year for Bollywood so far as four movies have grossed 100 crores mark in India in four months. Shah Rukh Khan’s Raees, Hrithik Roshan’s Kaabil and Akshay Kumar’s Jolly LLB 2, Varun Dhawan’s BKD are the four movies which have entered the 100 crore club.
Shah Rukh Khan’s Raees is at the top with the three days collection of 59.83 crores followed by Akshay Kumar’s Jolly LLB 2, Varun Dhawan’s Badrinath Ki Dulhania and Hrithik Roshan’s Kaabil.
Top Opening Weekend Grossers Of 2017
|Movie Name||Release Date||Star Cast||Opening Weekend Collection (In Crores)|
|Bahubali 2||28 Apr 2017||Prabhas, Rana, Anushka Shetty||128|
|Raees||25 Jan 2017||SRK, Mahira and Nawaz||59.83|
|Jolly LLB 2||10 Feb 2017||Akshay and Huma||50.46|
|Badrinath Ki Dulhania||10 Mar 2017||Varun and Alia||43.05|
|Kaabil||25 Jan 2017||Hrithik and Yami||38.87|
|Half Girlfriend||19 May 2017||Arjun Kapoor and Shraddha Kapoor||32.04|
|Naam Shabana||31 Mar 2017||Akshay, Taapsee||18.3|
|Commando 2||3 Mar 2017||Vidyut Jammwal, Esha Gupta and Adah Sharma||15.75|
|Phillauri||24 Mar 2017||Anushka Sharma, Diljit Dosanjh||15.25|
|Rangoon||24 Feb 2017||Saif, Kangana and Shahid||14.5|
|Ok Jaanu||13 Jan 2017||Shraddha and Aditya||13.8|
|Begum Jaan||14 Apr 2017||Vidya Balan||11..44|
2017 will be a huge year for Bollywood as some big budget and star cast movies are slated for release in the coming months. Movies like Robot 2, Rehnuma, Tubelight, Tiger Zinda Hai, Golmaal Again, Baahubali 2 will surely make it to the top opening weekend grossers 2017 list in the coming days.
Note: The box office report listed above is compiled from various trusted sources. Blog to Bollywood does not make any claims about the authenticity of the data.
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