Mission Chapter 1 Box Office Collection, Budget, Hit Or Flop, Cast, OTT

Mission: Chapter 1 is an upcoming Tamil film that will be released on January 12, 2024. Amy Jackson, Arun Vijay, Nimisha Sajayan, and Sammy John Heaney star in the film, which is directed by A. L. Vijay. Abi Hassan, Bharat Bopanna, Baby Iyal, and Jason Shah are among the other notable performers cast in Mission: Chapter 1.

You can find out everything you need to know about Mission Chapter 1 Box Office Collection, Budget, profit, and screen count right here.

Mission Chapter 1 Movie was made on a Budget Rs 15 crores, which included all of the film’s expenses.

Critic's Ratings
3.5/5

Mission Chapter 1 Tamil Movie Box Office Collection, Budget and Collection, Cast and Crew, Review, Release Date, Trailer, Teaser

Mission Chapter 1 Box Office Collection

Day Wise

Collection

Day 1 ( Fri )

₹ 0.25 Cr

Day 2 ( Sat )

₹ 0.42 Cr

Day 3 ( Sun )

₹ 0.48 Cr

Day 4 ( Mon )

₹ 0.46 Cr

Day 5 ( Tue )

₹ 0.38 Cr

Day 6 ( Wed )

₹ 0.33 Cr

Day 7 ( Thu )

₹ 0.35 Cr

Week 1 Collection

₹ 2.67 Cr

India Net Box Office Collection = ₹ 2.67 Cr

India Gross Box Office Collection = ₹ TBA

World Wide Collection= ₹ TBA

Mission Chapter 1 Movie Budget : ₹ 15 Cr

Mission Chapter 1 Movie Hit or Flop : HIT

Mission Chapter 1 Movie Review Read Here

Mission Chapter 1 Movie Cast, Release Date, OTT Platform, Cast, Review, Director

Genre

Action, Thriller

Language

Tamil

Cast

Arun Vijay

Amy Jackson

Nimisha Sajayan

Abi Hassan

Bharath Bopanna

Baby Iyal

Viraaj S

Director

Vijay

Producer

Subaskaran 

M. Rajashekar 

S.Swathi

Release Date

12 January 2024

OTT Release Date

TBA

OTT Platform

TBA

Budget

₹ 15 Cr

Music

G.V. Prakash Kumar

Collection

TBA

DOP

Sandeep K Vijay

Editor

Anthony

Action Director

Stunt Silva

Mission Chapter 1 Tamil Movie Trailer

Mission Chapter 1 Tamil Movie Songs

Disclaimer:  The Box Office Data have been compiled from a variety of sources as well as our own research. These data can be approximate and Cinefry does not make any claims about the authenticity of the data.

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