Doctor Bakshi Box Office Collection Day 2
Doctor Bakshi performed well on its first 1 days at the box office and earned roughly ₹ 0 Cr India net. Here is Doctor Bakshi's 2nd-day box office collection and Occupancy.
Doctor Bakshi may earn 0 Cr India net on its second day.
2 Days India Net Collection ₹ - Cr
2 Days Worldwide Collection ₹ - Cr
2 Days Overseas Collection ₹ - Cr
2 Days India Gross Collection ₹ - Cr
Doctor Bakshi had an overall 22.04% Bengali Occupancy on Saturday, January 21, 2023.
Doctor Bakshi Day 2 Bengali (2D) Occupancy in Theaters
Morning Shows: 1%
Afternoon Shows: 3.43%
Evening Shows: 3.69%
Night Shows: 58.00%
Note: For mobile, Rotate the screen for the best view.
About This Movie
For more and the latest news about Bengali Tollywood Box Office Collection, Stay tuned to us.
Doctor Bakshi may earn 0 Cr India net on its second day.
Doctor Bakshi 2 Days Box Office Collection
Day | India Net Collection | Change(+/-) |
---|---|---|
Day 2 [1st Sunday] | ₹ 0 Cr * may earn | - |
Total | ₹ 0 Cr | - |
2 Days India Net Collection ₹ - Cr
2 Days Worldwide Collection ₹ - Cr
2 Days Overseas Collection ₹ - Cr
2 Days India Gross Collection ₹ - Cr
Doctor Bakshi had an overall 22.04% Bengali Occupancy on Saturday, January 21, 2023.
Doctor Bakshi Day 2 Bengali (2D) Occupancy in Theaters
Morning Shows: 1%
Afternoon Shows: 3.43%
Evening Shows: 3.69%
Night Shows: 58.00%
Note: For mobile, Rotate the screen for the best view.
Doctor Bakshi Day 2 Bengali (2D) Occupancy in main regions
Region | Overall | Morning | Afternoon | Evening | Night | Shows |
---|---|---|---|---|---|---|
Kolkata | 16.75% | 1% | 4% | 4% | 58% | 39 |
Mumbai | 0.00% | 0 | % | % | % | 1 |
Asansol | 0.00% | 0 | % | % | % | 1 |
Siliguri | 0.00% | 0 | % | % | 0% | 1 |
Durgapur | 0.00% | 0 | % | % | 0% | 2 |
About This Movie
For more and the latest news about Bengali Tollywood Box Office Collection, Stay tuned to us.
Disclaimer: The Box Office Data are compiled from various sources and by our own research.
These data can be approximate and Sacnilk does not make any claims about the authenticity of the data.