Hu ane Tu Box Office Collection Day 2
Hu ane Tu performed well on its first 1 days at the box office and earned roughly ₹ 0 Cr India net. Here is Hu ane Tu's 2nd-day box office collection and Occupancy.
Hu ane Tu 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
Hu ane Tu had an overall 14.27% Gujarati Occupancy on Saturday, September 16, 2023.
Hu ane Tu Day 2 Gujarati (2D) Occupancy in Theaters
Morning Shows: 5.45%
Afternoon Shows: 12.56%
Evening Shows: 11.97%
Night Shows: 27.08%
Note: For mobile, Rotate the screen for the best view.
About This Movie
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Hu ane Tu may earn 0 Cr India net on its second day.
Hu ane Tu 2 Days Box Office Collection
Day | India Net Collection | Change(+/-) |
---|---|---|
Day 2 [4th 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
Hu ane Tu had an overall 14.27% Gujarati Occupancy on Saturday, September 16, 2023.
Hu ane Tu Day 2 Gujarati (2D) Occupancy in Theaters
Morning Shows: 5.45%
Afternoon Shows: 12.56%
Evening Shows: 11.97%
Night Shows: 27.08%
Note: For mobile, Rotate the screen for the best view.
Hu ane Tu Day 2 Gujarati (2D) Occupancy in main regions
Region | Overall | Morning | Afternoon | Evening | Night | Shows |
---|---|---|---|---|---|---|
Ahmedabad | 17.25% | 6% | 17% | 11% | 35% | 175 |
Mumbai | 30.67% | 0% | 45% | 23% | 24% | 41 |
Surat | 10.75% | 5% | 9% | 10% | 19% | 92 |
Anand | 5.25% | 4% | 4% | 3% | 10% | 31 |
Bhavnagar | 5.25% | 2% | 7% | 4% | 8% | 11 |
Gandhinagar | 19.50% | 17% | 17% | 13% | 31% | 18 |
Vadodara | 13.75% | 3% | 7% | 13% | 32% | 61 |
About This Movie
For more and the latest news about Gollywood 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.