Mad Square earned around 6.00 Cr India net on its fourth day (early estimates).
Mad Square 4 Days Box Office Collection
| Day | India Net Collection | Change(+/-) |
|---|---|---|
| Day 1 [1st Friday] | ₹ 8.5 Cr | – |
| Day 2 [1st Saturday] | ₹ 7.5 Cr | -11.76% |
| Day 3 [1st Sunday] | ₹ 9.25 Cr | 23.33% |
| Day 4 [1st Monday] | ₹ 6.00 Cr * early estimates | – |
| Total | ₹ 31.25 Cr | – |
4 Days India Net Collection ₹ – Cr
4 Days Worldwide Collection ₹ – Cr
4 Days Overseas Collection ₹ – Cr
4 Days India Gross Collection ₹ – Cr
Mad Square had an overall 40.40% Telugu Occupancy on Monday, March 31, 2025.
Mad Square Day 4 Telugu (2D) Occupancy in Theaters
Morning Shows: 27.26%
Afternoon Shows: 47.89%
Evening Shows: 46.00%
Night Shows: 40.44%
Note: For mobile, Rotate the screen for the best view.
Mad Square Day 4 Telugu (2D) Occupancy in main regions
| Region | Overall | Morning | Afternoon | Evening | Night | Shows |
|---|---|---|---|---|---|---|
| Hyderabad | 50.75% | 34% | 59% | 58% | 52% | 465 |
| Bengaluru | 25.50% | 15% | 30% | 33% | 24% | 237 |
| Chennai | 27.00% | 16% | 33% | 32% | 27% | 60 |
| Vijayawada | 30.75% | 18% | 42% | 35% | 28% | 105 |
| Warangal | 65.25% | 38% | 74% | 70% | 79% | 26 |
| Guntur | 44.50% | 31% | 51% | 54% | 42% | 42 |
| Vizag-Visakhapatnam | 47.00% | 41% | 59% | 47% | 41% | 111 |
| Nizamabad | 29.75% | 12% | 49% | 30% | 28% | 14 |
| National Capital Region (NCR) | 16.50% | 8% | 25% | 19% | 14% | 14 |
| Mumbai | 18.50% | 11% | 19% | 22% | 22% | 22 |
| Karimnagar | 30.50% | 15% | 35% | 41% | 31% | 20 |
| Mahbubnagar | 82.75% | 52% | 98% | 93% | 88% | 4 |
| Kakinada | 43.75% | 30% | 53% | 49% | 43% | 23 |
About This Movie
This film is directed by Kalyan Shankar and produced by Sithara Entertainments.
Mad Square stars Narne Nithin, Subhalekha Sudhakar, Muralidhar Goud, Priyanka Jawalkar, Sangeeth Shobhan, and Ram Nithin in key roles.
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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.
