Dies Irae's fifth day at the box office was a significant drop from the previous days, with an estimated net collection of ₹ 2.50 Cr in India. This marks a 52.76% decline from the previous day's collection of ₹ 3 Cr. Despite this, the movie maintained a strong overall occupancy rate of 31.82% in Malayalam on Tuesday, November 04, 2025. Here's a breakdown of the collection and occupancy by region:
Dies Irae Day 5 Box Office Collection
- India Net Collection: ₹ 2.50 Cr
- Change (+/-): -52.76% (compared to Day 4)
5-Day Box Office Collection
- Total India Net Collection: ₹ 22.25 Cr
- 5 Days India Net Collection: ₹ 2.50 Cr
- 5 Days Worldwide Collection: ₹ - Cr
- 5 Days Overseas Collection: ₹ - Cr
- 5 Days India Gross Collection: ₹ - Cr
Occupancy
- Overall 2D Occupancy (Malayalam): 31.82%
- Morning Shows: 19.62%
- Afternoon Shows: 25.87%
- Evening Shows: 32.54%
- Night Shows: 49.25%
Regional Occupancy
| Region | Overall | Morning | Afternoon | Evening | Night |
|--------|---------|---------|-----------|--------|-------|
| Kochi | 44.00% | 27% | 33% | 46% | 70% |
| Trivandrum | 24.25% | 16% | 17% | 24% | 40% |
| Bengaluru | 30.75% | 18% | 31% | 27% | 47% |
| Chennai | 29.75% | 17% | 33% | 34% | 35% |
| Kozhikode | 35.75% | 19% | 27% | 39% | 58% |
| Thrissur | 32.00% | 37% | 19% | 33% | 39% |
| Kollam | 31.25% | 25% | 19% | 31% | 50% |
| Kottayam | 43.25% | 27% | 31% | 38% | 77% |
| Alappuzha | 22.25% | 11% | 12% | 21% | 45% |
| Hyderabad | 18.75% | 10% | 10% | 23% | 32% |
| National Capital Region (NCR) | 27.50% | 5% | 21% | 32% | 52% |
| Mumbai | 29.50% | 14% | 29% | 24% | 51% |
Dies Irae, directed by Rahul Sadasivan and produced by Night Shift Studios and YNOT Studios, stars Pranav Mohanlal, Arun Ajikumar, Jaya Kurup, Manohari Joy, and Gibin Gopinath in key roles. The movie's performance at the box office highlights the varying audience engagement across different regions, with some areas showing stronger attendance than others.
Note: The box office data is compiled from various sources and may be approximate. Sacnilk does not claim the authenticity of the data.
