Bhooth Bangla Day 5 Box Office Collection: Live Updates, Occupancy & Total Earnings
Bhooth Bangla Day 5 (1st Tuesday) Live Box Office Updates
Afternoon Update: Bhooth Bangla has registered 25% occupancy in the noon-afternoon shows today. Overall occupancy for the day so far is around 20%. The film is getting a boost today thanks to reduced ticket prices and is targeting approximately ₹9 crore net for the day. Stay tuned for more live updates!
Morning Update: Bhooth Bangla has reported around 15% occupancy in the morning shows of Day 5. Occupancy is better than Day 4, mainly due to reduced ticket prices today. This also indicates that the business for the day should be higher than that of Day 4. Initial morning trends suggest the film is targeting approximately ₹9 crore net for the day. However, these are extremely early projections.
Bhooth Bangla Day 5 box office collection is expected to see solid hold. The film performed well on Day 4, collecting approximately ₹7 cr net. On Day 5, it should continue the positive trend, with a healthy first week on the cards. Stay tuned for live updates throughout the day.
Bhooth Bangla Day Wise Occupancy Report
| Day | Morning | Noon- Afternoon |
Evening- Night |
Overall |
|---|---|---|---|---|
| Day 1 | 10% | 20% | 35% | 21.67% |
| Day 2 | 20% | 40% | 45% | 35% |
| Day 3 | 25-30% | 50-55% | 50% | 43.33% |
| Day 4 | 7-9% | 13-14% | 20% | 13.83% |
| Day 5 | 15% | 25% | - | 20% (Till 2 PM IST) |
*Estimates
Bhooth Bangla Day Wise Box Office Collection (India Net)
| Day | Collection (Nett) |
|---|---|
| Day 0 | ₹3.5 cr |
| Day 1 | ₹12.5 cr |
| Day 2 | ₹19.5 cr |
| Day 3 | ₹23.5 cr |
| Day 4 | ₹7 cr* |
| Day 5 | Expected ₹9 cr based on Afternoon Trend |
| Total | ₹66 cr* |
*Estimates
Bhooth Bangla Total Box Office Collection
| Region | Collection |
|---|---|
| India Net | ₹66 cr* |
| India Gross | ₹78 cr* |
| Overseas | ₹16.7 cr* ($1.8 m) |
| Worldwide | ₹94.7 cr* |
*Estimates
Bhooth Bangla Box Office Verdict & Prediction
To be updated.
Disclaimer: Addatoday makes no assertions regarding the authenticity of the data.
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