Avatar: Fire and Ash Box Office Collection Day 2 (1st Saturday)

Avatar: Fire and Ash Day 2 (1st Saturday) Box Office Collection India – Early Estimates and Occupancy Report

Avatar: Fire and Ash Box Office Collection Day 2 Early Estimates and Reports

Avatar: Fire and Ash Day 2 box office collection:

Night Update (8 PM IST): Avatar 3 has collected a solid ₹24 crore net (approx.) on Day 2 as per estimates. The film performed decently once again. Ideally, the film needed stronger business on the second day, but the collections are not bad either.

The film’s two-day total now stands at around ₹44 crore net (approx.) in India across all languages.

Afternoon Update (2 PM IST): Avatar 3 has registered a solid 35% occupancy in the noon–afternoon shows today. The overall occupancy so far stands at around 29% till 2 PM IST. The film is showing a decent trend with reasonable growth and is eyeing around ₹25 crore net for the day. Stay tuned for more updates!


Morning Update (11 AM IST): Avatar 3 has taken a decent start on Day 2 with the morning shows. The film has registered 22–24% occupancy in the morning, which is comparatively better than Day 1 morning.

The film is showing reasonable growth and is now targeting around ₹25 crore net for the day.

Stay tuned for more updates! 🎬📊

Avatar: Fire and Ash Movie Occupancy Report (Hindi and English Version)

Avatar: Fire and Ash Hindi and English Show Occupancy Details
Day Details Morning Noon Night Overall Occupancy
Day 1
(Friday)
15-20%18-20%30-35%23%
Day 2
(Saturday)
22-24%35%30%-35%30.17%
(Till 8 PM IST)

Avatar: Fire and Ash Day Wise Box Office Collection in India

Avatar: Fire and Ash Day Wise Collection
Day Details Collection (Nett)
Day 1
(Friday)
₹20 cr
Day 2
(Saturday)
₹24 cr*
Total₹44 cr*

*Estimates

Avatar: Fire and Ash Total Box Office Collection

Avatar: Fire and Ash Total Collection India & Worldwide
Place Collection (₹)
India (Net)₹44 cr*
India (Gross)₹52.35 cr*
Overseas (Gross)-
Worldwide (Gross)-

*Estimates

Disclaimer: Addatoday makes no assertions regarding the authenticity of the data.

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