Ghaati Box Office Collection Day 3 Worldwide Total
Anushka Shetty starrer Ghaati performed decently at the box office and earned ₹ 3.49 Cr…

Anushka Shetty starrer Ghaati performed decently at the box office and earned ₹ 3.49 Cr India net on its first day. Here is Ghaati’s 3rd-day box office collection.
Ghaati 3rd Day Box Office Collection (India Net)
Ghaati may earn around ₹ 2.5 Cr India net on its third day for all languages.
Ghaati 2nd Day Box Office Collection (India Net)
According to Sacnilk, Ghaati earned around ₹ 1.49 Cr India net on its two day for all languages.
Ghaati 1st Day Box Office Collection (India Net)
According to Sacnilk, Ghaati earned around ₹ 2 Cr India net on its first day for all languages.
Ghaati 3 Days Box Office Collection (India Net) All langauges
Day | India Net Collection | Change(+/-) |
---|---|---|
Day 1 [1st Fri] | ₹ 2.00 Cr | – |
Day 2 [1st Sat] | ₹ 1.9 Cr * early estimates | – |
Day 3 [1st Sun] | ₹ 2.5 Cr * early estimates | – |
Total | ₹ 5.99 Cr | – |
Ghaati 3 Days Box Office Collection Worldwide Total
3 Days India Net Collection ₹ – Cr
3 Days Worldwide Collection ₹ – Cr
3 Days Overseas Collection ₹ – Cr
3 Days India Gross Collection ₹ – Cr
Ghaati 1 Days Box Office Collection Worldwide Total
Worldwide | India Net | India Gross | Overseas |
---|---|---|---|
₹ – Cr | ₹ – Cr | ₹ – Cr | ₹ – Cr |
About This Film
Title: Ghaati
Director: Radha Krishna Jagarlamudi
Screenplay:
Producer: Vamsi Krishna Reddy, Rajiv Reddy Pochareddy, Pramod Uppalapati
Cast: Anushka Shetty, Vikram Prabhu, Ramya Krishnan, Jagapati Babu, Ravindra Vijay, VTV Ganesh, Larissa Bonesi, John Vijay, Sudhasri Madhusmita, Devika Priyadarshini
Dialogue:
Cinematography:
Editor:
Music: Vidyasagar
Production: UV Creations, First Frame Entertainment
Distributed:
Release date: 5 Sep 2025
Running time:
Country: India
Language: Telugu
Budget: est ₹ – Cr
Box Office: ₹ – Cr
Disclaimer: Box office collection data is collected from various sources and research. These collection figures are approximate and BoxOfficeIndex makes no claims about the authenticity of the data.