Alappuzha Gymkhana is expected to perform well on its first day at the box office. Here is Alappuzha Gymkhana’s 1st-day box office collection and Occupancy.
Alappuzha Gymkhana earned around 2.75 Cr India net on its first day (early estimates).
Alappuzha Gymkhana had an overall 75.78% Malayalam Occupancy on Thursday, April 10, 2025.
Alappuzha Gymkhana earned around 2.75 Cr India net on its first day (early estimates).
Alappuzha Gymkhana 1 Days Box Office Collection
Day | India Net Collection | Change(+/-) |
---|---|---|
Day 1 [1st Thursday] | ₹ 2.75 Cr * early estimates | – |
Total | ₹ 2.75 Cr | – |
1 Day India Net Collection ₹ – Cr
1 Day Worldwide Collection ₹ – Cr
1 Day Overseas Collection ₹ – Cr
1 Day India Gross Collection ₹ – Cr
Alappuzha Gymkhana had an overall 75.78% Malayalam Occupancy on Thursday, April 10, 2025.
Alappuzha Gymkhana Day 1 Malayalam (2D) Occupancy in Theaters
Morning Shows: 62.45%
Afternoon Shows: 75.03%
Evening Shows: 78.88%
Night Shows: 86.77%
Note: For mobile, Rotate the screen for the best view.
Alappuzha Gymkhana Day 1 Malayalam (2D) Occupancy in main regions
Region | Overall | Morning | Afternoon | Evening | Night | Shows |
---|---|---|---|---|---|---|
Kochi | 88.25% | 78% | 92% | 87% | 96% | 107 |
Trivandrum | 69.50% | 51% | 61% | 74% | 92% | 91 |
Bengaluru | 69.25% | 45% | 69% | 82% | 81% | 47 |
Chennai | 86.33% | 0% | 87% | 80% | 92% | 18 |
Kozhikode | 83.00% | 68% | 86% | 89% | 89% | 64 |
Thrissur | 77.00% | 61% | 77% | 81% | 89% | 57 |
Kollam | 90.75% | 81% | 94% | 91% | 97% | 18 |
Kottayam | 97.75% | 98% | 100% | 96% | 97% | 5 |
Alappuzha | 63.75% | 58% | 48% | 73% | 76% | 32 |
Hyderabad | 40.67% | 0% | 27% | 48% | 47% | 13 |
National Capital Region (NCR) | 61.00% | 0% | 60% | 0% | 62% | 5 |
Mumbai | 33.00% | 30% | 32% | 21% | 49% | 14 |
About This Movie
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.