Highest Opening Week Collection Bollywood 2017: Raees, Jolly LLB and Kaabil are the top opening week grossers of 2017.
Blog to Bollywood presents the list of top 10 opening week grossers of 2017. This list includes the details like movie name, star cast, director and the first-week collection of the Bollywood movies released in 2017. This list will be updated on regular basis as and when the official collection of the movies are available.
At the end of March 2017, Shah Rukh Khan’s Raees is the top opening week grosser of 2017 with the collection of 109.01 crores. Raees is followed by Hrithik Roshan’s Kaabil whose first-week collection stands at 79.6 crores. Kaabil is followed by Akshay Kumar’s Jolly LLB 2 (77.71 crores) and Varun Dhawan and Alia Bhatt starrer Badrinath Ki Dulhania (73.66 crores). Only these four movies have performed well in the first quarter of 2017. Besides these, no movie has even crossed 50 crores in the first week.
Top opening week grossers of 2017
|Movie Name||Release Date||Star Cast||Opening Day Collection (In Crores)|
|Raees||25 Jan 2017||SRK, Mahira and Nawaz||109.01|
|Kaabil||25 Jan 2017||Hrithik and Yami||79.6|
|Jolly LLB 2||10 Feb 2017||Akshay and Huma||77.71|
|Badrinath Ki Dulhania||10 Mar 2017||Varun and Alia||73.66|
|Naam Shabana||31 Mar 2017||Taapsee Pannu, Akshay Kumar||27.18|
|Commando 2||3 Mar 2017||Vidyut Jammwal, Esha Gupta and Adah Sharma||23.02|
|Phillauri||24 Mar 2017||Anushka Sharma, Diljit Dosanjh||22.68|
|Rangoon||24 Feb 2017||Saif, Kangana and Shahid||20.15|
|Ok Jaanu||13 Jan 2017||Shraddha and Aditya||19|
|The Ghazi Attack||17 Feb 2017||Rana Dagubatti, Taapsee pannu||11.85|
Significant changes are expected in this list with the release of big budget and most awaited movies of 2017 like Robot 2, Rehnuma, Tubelight, Tiger Zinda Hai, Golmaal Again, Baahubali 2. These movies are expected to take top positions in the list by the end of the year.
Note: The Box Office report listed above is compiled from various sources. Blog to Bollywood does not make any claims about the authenticity of the data.
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