Here is Box Office Collection comparsion between the movie KGF Chapter 2 and Tiger Zinda Hai.
KGF Chapter 2 was All Time Blockbuster movie and Tiger Zinda Hai was Blockbuster movie.
Budget:
KGF Chapter 2 : 100 Cr
Tiger Zinda Hai: 210 Cr
KGF Chapter 2 Collection Data
Worldwide Collection ₹ 1215 Cr
Overseas: ₹ 214.15 Cr
India Gross: ₹ 1000.85 Cr
Tiger Zinda Hai Collection Data
Worldwide Collection ₹ 558 Cr
Overseas: ₹ 124.23 Cr
India Gross: ₹ 433.77 Cr
Note: KGF Chapter 2 was released on Thursday and Tiger Zinda Hai was released on Friday.
Here is day wise vs between KGF Chapter 2 and Tiger Zinda Hai for Language Hindi Box Office Collection
* All collections are in Indian Rupee (INR) and in Crores.
Day | KGF Chapter 2 | Tiger Zinda Hai |
---|
1 |
53.95 |
34.1 |
2 |
46.79 |
35.3 |
3 |
42.9 |
45.53 |
4 |
50.35 |
36.54 |
5 |
25.57 |
21.6 |
6 |
19.14 |
17.55 |
7 |
16.35 |
15.42 |
8 |
13.58 |
11.56 |
9 |
11.56 |
14.92 |
10 |
18.25 |
22.23 |
11 |
22.68 |
18.04 |
12 |
8.28 |
7.83 |
13 |
7.48 |
5.84 |
14 |
6.25 |
5.09 |
15 |
5.68 |
3.72 |
16 |
4.25 |
5.62 |
17 |
7.25 |
8.27 |
18 |
9.27 |
2.72 |
19 |
3.75 |
2.56 |
20 |
9.57 |
2.3 |
21 |
8.75 |
2.12 |
22 |
6.3 |
1.46 |
23 |
3.85 |
2.12 |
24 |
4.75 |
3.27 |
25 |
6.25 |
1.36 |
26 |
2.35 |
1.02 |
27 |
2 |
0.88 |
28 |
1.85 |
0.78 |
29 |
1.7 |
0.79 |
30 |
1.23 |
1.2 |
31 |
2.14 |
1.84 |
32 |
2.98 |
0.7 |
33 |
1.24 |
0.6 |
34 |
0.95 |
0.45 |
35 |
0.9 |
0.23 |
36 |
0.81 |
0.65 |
37 |
0.32 |
0.48 |
38 |
0.55 |
0.66 |
39 |
0.83 |
0.21 |
40 |
0.32 |
0.21 |
41 |
0.28 |
0.23 |
42 |
0.27 |
0.19 |
43 |
0.22 |
0.15 |
44 |
0.09 |
0.18 |
45 |
0.16 |
0.27 |
46 |
0.23 |
0.08 |
47 |
0.11 |
0.07 |
48 |
0.1 |
0.07 |
49 |
0.1 |
0.07 |
50 |
0.09 |
- |
56 |
- |
0.08 |
57 |
0.44 |
- |
64 |
0.17 |
- |
71 |
0.1 |
- |
Total Hindi Net |
435.33 |
339.16 |
Note: After '-', collection are added in next day.
For more and latest news about Box Office Collection, stay tuned to us.
Disclaimer: The Box Office Data are compiled from various sources and by our own research.
These data can be approximate and Sacnilk does not make any claims about the authenticity of the data.