Super Sharanya Day 1 Box Office Collection
Super Sharanya is expected to perform well on its first day at the box office. Here is Super Sharanya 1st day box office collection and Occupancy.
Super Sharanya may earn Cr India net on its first day.
1 Day India Net Collection ₹ - Cr
1 Day Worldwide Collection ₹ - Cr
1 Day Overseas Collection ₹ - Cr
1 Day India Gross Collection ₹ - Cr
Super Sharanya had an overall 30.87% Malayalam Occupancy on Friday, January 07, 2022.
Super Sharanya Day 1 Malayalam (2D) Occupancy in Theaters
Morning Shows: 21.21%
Afternoon Shows: 24.02%
Evening Shows: 30.44%
Night Shows: 47.80%
Note: For mobile, Rotate the screen for the best view.
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Super Sharanya may earn Cr India net on its first day.
Super Sharanya 1 Day Box Office Collection
Day | India Net Collection |
---|---|
Day 1 [2nd Friday] | ₹ Cr * may earn |
Total | ₹ 0 Cr |
1 Day India Net Collection ₹ - Cr
1 Day Worldwide Collection ₹ - Cr
1 Day Overseas Collection ₹ - Cr
1 Day India Gross Collection ₹ - Cr
Super Sharanya had an overall 30.87% Malayalam Occupancy on Friday, January 07, 2022.
Super Sharanya Day 1 Malayalam (2D) Occupancy in Theaters
Morning Shows: 21.21%
Afternoon Shows: 24.02%
Evening Shows: 30.44%
Night Shows: 47.80%
Note: For mobile, Rotate the screen for the best view.
Super Sharanya Day 1 Malayalam (2D) Occupancy in main regions
Region | Overall | Morning | Afternoon | Evening | Night | Shows |
---|---|---|---|---|---|---|
Kochi | 46.50% | 29% | 40% | 44% | 73% | 79 |
Trivandrum | 17.75% | 19% | 11% | 18% | 23% | 79 |
Kozhikode | 59.00% | 26% | 61% | 65% | 84% | 21 |
Thrissur | 22.75% | 11% | 9% | 25% | 46% | 46 |
Kollam | 15.75% | 12% | 14% | 11% | 26% | 28 |
Kottayam | 39.00% | 48% | 31% | 31% | 46% | 9 |
Alappuzha | 27.00% | 18% | 18% | 29% | 43% | 17 |
For more and the latest news about Mollywood 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.