Salman Khan’s Tubelight debuted in second place in the United States among new Indian movies, behind Allu Arjun’s Telugu film DJ: Duvvada Jagannadham! Salman squeaked out victory in North America overall thanks to the contributions of theaters in Canada — where DJ didn’t even release. From June 23-25, 2017, Bollywood Hungama reports that Tubelight earned $926,816 from 372 North American theaters ($2,491 average; adjusted average of $2,710 from 342 theaters*). Of that total, $169,344 came from 30 Canadian theaters, amounting to 18% of the total earnings from just 8% of the total theaters (342). Gitesh Pandya of Box Office Guru reports North American earnings of $930,058 from 338 theaters ($2,752 average) for Tubelight. That total was good enough to rank in 14th place at the overall North American box office, according to Box Office Mojo.
It’s easy to forget that the notion of Salman as a box office gold mine is a recent development in North America. Until the blockbuster performance of Bajrangi Bhaijaan in the summer of 2015, none of Salman’s films managed to earn more than $2.5 million here. Tubelight should earn around $2 million over the course of its run, putting it in line with the earnings of his releases from 2011-2014 — movies like Bodyguard, Ek Tha Tiger, and Kick. We’ll have to wait until Tiger Zinda Hai releases this Christmas to see if Salman’s superb (if short) string of hits is really over.
DJ: Duvvada Jagannadham took in $873,249 from 190 US theaters ($4,596 average), 15th place overall at the North American box office.
Other Hindi movies still showing in the US:
- Hindi Medium: Week 6; $9,228 from five theaters; $1,846 average; $773,477 total
- Baahubali 2: Week 9; $726 from three theaters; $242 average; $20,786,308 total
*Bollywood Hungama frequently counts Canadian theaters twice in when they report figures for a film’s first few weeks of release. When possible, I verify theater counts at Box Office Mojo, but I use Bollywood Hungama as my primary source because they provide a comprehensive and consistent — if flawed — data set.