Bangarraju 1st day Box office Collection: Big Movies like RRR, Radheyshyam, Bhimla Nayak, Sarkaru Vaari Paata dropped out from the Sankranthi race. It’s the Biggest Opportunity for Many small and Medium Budget Films to release in theaters on Sankranthi. In that Bangarraju is the only Movie with high expectations from the audience. As per reports, Bangaraju has been getting good collections from the first show to meet the audience’s expectations. The Movie Makers have proudly announced that Bangarraju is a Sankranthi BlockBuster.
Nagarjuna Bangarraju Movie was released yesterday and Started an excellent worldwide collection from the first show. The Movie got an average talk from the audience, but it did not impact the Box Office collection. As per reports, Bangarraju Movie Collected ₹38.31Cr Worldwide, the second-highest opening for a Medium Range budget movie after Uppena.
We must keep in Mind that Bangarraju film released new GO ticket prices in Andhra Pradesh among Rising COVID cases. Below’s Bangarraju First Day Worldwide Collections Report.
Bangarraju First Day Box Office Collection Report
Here is the list of Bangarraju 1st day Box office Collections worldwide. First comes Nizam, with the highest collection of 2.03 crores. Ceeded occupied the second and third places with 1.74 crores and UA with 1.24 crores. Next comes east and west Godavari with 76 lakhs and 65 lakhs. For more details about Bangarraju 1st day Box office Collections, check out the below table.
Bangarraju 1st day Box office Collections worldwide Report
|Nizam||₹ 2.03Cr||₹ —|
|Ceded||₹ 1.75 Cr||₹ —|
|UA||₹ 1.24 Cr||₹ —|
|East||₹ 0.76 Cr||₹ —|
|West||₹ 0.65 Cr||₹ —|
|Guntur||₹ 0.89 Cr||₹ —|
|Krishna||₹ 0.46 Cr||₹ —|
|Nellore||₹ 0.34 Cr||₹ —|
|AP/TS||₹ 8.11 Cr||₹ 12.9 Cr|
|ROI||₹ 0.80 Cr||₹ —|
|Overseas||₹ 0.45 Cr||₹ —|
|Total Worldwide||₹ 9.36Cr||₹ 15.35 Cr|
Movie Overall Business = 38.31 Cr
Disclaimer: The Box Office collection data was gathered from different sources by our survey. The data may not be exact, but it is very close to exact figures. Please don’t claim any authenticity about the data.