| 1 |
|
2 Oct 2019 |
2,92,71,50,000 |
Blockbuster |
| 2 |
|
21 Jun 2019 |
2,76,34,00,000 |
Super Blockbuster |
| 3 |
|
11 Jan 2019 |
2,44,00,50,000 |
Super Blockbuster |
| 4 |
|
25 Jul 2014 |
2,11,63,00,000 |
Blockbuster |
| 5 |
|
20 Oct 2017 |
2,05,50,00,000 |
Blockbuster |
| 6 |
|
27 Dec 2019 |
1,96,33,50,000 |
Super Hit |
| 7 |
|
24 Oct 2014 |
1,78,41,00,000 |
Super Hit |
| 8 |
|
15 Jun 2018 |
1,66,15,25,000 |
Average |
| 9 |
|
30 Mar 2018 |
1,60,74,50,000 |
Blockbuster |
| 10 |
|
21 Mar 2019 |
1,51,87,50,000 |
Hit |
| 11 |
|
22 Feb 2019 |
1,50,07,50,000 |
Hit |
| 12 |
|
2 Oct 2014 |
1,41,06,50,000 |
Semi Hit |
| 13 |
|
13 Sep 2019 |
1,39,37,00,000 |
Super Hit |
| 14 |
|
18 Oct 2018 |
1,34,46,50,000 |
Blockbuster |
| 15 |
|
25 Feb 2022 |
1,26,32,00,000 |
Hit |
| 16 |
|
22 Jan 2016 |
1,23,46,50,000 |
Super Hit |
| 17 |
|
3 Jun 2011 |
1,20,72,25,000 |
Blockbuster |
| 18 |
|
10 Mar 2017 |
1,14,11,50,000 |
Super Hit |
| 19 |
|
26 Oct 2011 |
1,13,94,75,000 |
Hit |
| 20 |
|
5 Nov 2010 |
1,08,06,00,000 |
Blockbuster |
| 21 |
|
23 Feb 2018 |
1,00,80,50,000 |
Super Hit |
| 22 |
|
4 Sep 2015 |
95,92,50,000 |
Semi Hit |
| 23 |
|
17 May 2019 |
94,50,00,000 |
Semi Hit |
| 24 |
|
13 Sep 2013 |
91,65,50,000 |
Super Hit |
| 25 |
|
1 May 2015 |
86,85,50,000 |
Semi Hit |
| 26 |
|
15 Aug 2019 |
84,99,50,000 |
Hit |
| 27 |
|
28 Sep 2012 |
81,43,50,000 |
Super Hit |
| 28 |
|
13 Dec 2019 |
80,41,00,000 |
Hit |
| 29 |
|
15 Aug 2018 |
79,61,00,000 |
Hit |
| 30 |
|
9 Nov 2007 |
78,16,50,000 |
Blockbuster |
| 31 |
|
8 Dec 2017 |
77,90,50,000 |
Super Hit |
| 32 |
|
29 Apr 2016 |
76,06,50,000 |
Hit |
| 33 |
|
11 Jul 2014 |
72,80,50,000 |
Hit |
| 34 |
|
2 Oct 2015 |
71,07,50,000 |
Flop |
| 35 |
|
18 Mar 2016 |
69,37,50,000 |
Hit |
| 36 |
|
29 Jul 2016 |
68,10,50,000 |
Average |
| 37 |
|
7 Sep 2012 |
67,40,50,000 |
Super Hit |
| 38 |
|
10 May 2019 |
65,70,50,000 |
Flop |
| 39 |
|
19 May 2017 |
63,06,50,000 |
Hit |
| 40 |
|
24 Jan 2020 |
62,20,00,000 |
Flop |
| 41 |
|
16 Oct 2015 |
60,38,25,000 |
Super Hit |
| 42 |
|
2 Oct 2013 |
56,82,50,000 |
Flop |
| 43 |
|
28 Jul 2017 |
54,76,50,000 |
Flop |
| 44 |
|
3 May 2013 |
53,59,50,000 |
Average |
| 45 |
|
4 Apr 2014 |
53,17,50,000 |
Semi Hit |
| 46 |
|
19 May 2017 |
52,29,25,000 |
Below Average |
| 47 |
|
1 Apr 2016 |
51,68,00,000 |
Semi Hit |
| 48 |
|
16 Oct 2013 |
49,89,00,000 |
Flop |
| 49 |
|
18 Mar 2022 |
49,00,00,000 |
Disaster |
| 50 |
|
8 Jul 2011 |
47,98,00,000 |
Super Hit |
| 51 |
|
21 Mar 2014 |
46,56,50,000 |
Hit |
| 52 |
|
25 Nov 2011 |
45,92,00,000 |
Flop |
| 53 |
|
15 Nov 2019 |
45,57,25,000 |
Below Average |
| 54 |
|
15 Nov 2019 |
45,57,25,000 |
Below Average |
| 55 |
|
8 Apr 2011 |
45,03,25,000 |
Flop |
| 56 |
|
4 Dec 2015 |
43,57,50,000 |
Hit |
| 57 |
|
2 Jul 2010 |
43,46,75,000 |
Hit |
| 58 |
|
27 Jul 2012 |
42,03,50,000 |
Hit |
| 59 |
|
16 Oct 2009 |
41,40,75,000 |
Average |
| 60 |
|
1 Oct 2010 |
40,05,00,000 |
Average |
| 61 |
|
7 Feb 2014 |
36,56,25,000 |
Average |
| 62 |
|
31 Mar 2017 |
36,05,00,000 |
Below Average |
| 63 |
|
13 Feb 2015 |
35,87,00,000 |
Flop |
| 64 |
|
11 Apr 2014 |
33,97,50,000 |
Below Average |
| 65 |
|
26 Jul 2019 |
33,95,00,000 |
Flop |
| 66 |
|
21 Jul 2017 |
33,71,00,000 |
Flop |
| 67 |
|
18 Nov 2016 |
31,92,50,000 |
Flop |
| 68 |
|
13 Mar 2015 |
31,53,25,000 |
Semi Hit |
| 69 |
|
11 Sep 2015 |
31,32,25,000 |
Flop |
| 70 |
|
7 Jun 2013 |
30,77,00,000 |
Flop |
| 71 |
|
13 May 2016 |
30,73,00,000 |
Flop |
| 72 |
|
9 Sep 2016 |
30,62,00,000 |
Flop |
| 73 |
|
14 Jul 2006 |
29,32,50,000 |
Hit |
| 74 |
|
10 Dec 2010 |
28,47,50,000 |
Flop |
| 75 |
|
28 Jan 2011 |
28,21,25,000 |
Flop |
| 76 |
|
23 Jan 2009 |
25,49,50,000 |
Semi Hit |
| 77 |
|
19 Sep 2014 |
25,33,75,000 |
Below Average |
| 78 |
|
18 Sep 2015 |
23,75,50,000 |
Flop |
| 79 |
|
18 Jul 2014 |
22,90,50,000 |
Average |
| 80 |
|
3 Mar 2017 |
21,61,50,000 |
Flop |
| 81 |
|
12 Feb 2016 |
21,55,50,000 |
Flop |
| 82 |
|
22 Nov 2013 |
21,16,00,000 |
Flop |
| 83 |
|
14 Aug 2009 |
20,67,25,000 |
Flop |
| 84 |
|
9 Mar 2018 |
19,60,25,000 |
Below Average |
| 85 |
|
10 Apr 2015 |
18,51,50,000 |
Flop |
| 86 |
|
29 Jan 2016 |
17,71,50,000 |
Flop |
| 87 |
|
18 Mar 2022 |
17,41,00,000 |
Disaster |
| 88 |
|
13 May 2022 |
16,59,25,000 |
Disaster |
| 89 |
|
28 Nov 2014 |
16,45,50,000 |
Disaster |
| 90 |
|
10 Nov 2017 |
15,34,00,000 |
Flop |
| 91 |
|
15 Jul 2016 |
14,30,50,000 |
Disaster |
| 92 |
|
1 Apr 2022 |
14,13,25,000 |
Disaster |
| 93 |
|
22 Nov 2013 |
14,01,75,000 |
Disaster |
| 94 |
|
21 Aug 2015 |
12,53,25,000 |
Disaster |
| 95 |
|
20 Apr 2012 |
12,01,75,000 |
Average |
| 96 |
|
8 Sep 2017 |
11,64,75,000 |
Flop |
| 97 |
|
15 Sep 2017 |
11,57,25,000 |
Disaster |
| 98 |
|
23 Jan 2015 |
11,24,50,000 |
Flop |
| 99 |
|
15 Mar 2013 |
10,54,50,000 |
Below Average |
| 100 |
|
8 Oct 2010 |
10,44,50,000 |
Flop |
| 101 |
|
16 Dec 2016 |
9,70,50,000 |
Flop |
| 102 |
|
16 May 2014 |
9,63,00,000 |
Flop |
| 103 |
|
13 Nov 2009 |
9,07,75,000 |
Disaster |
| 104 |
|
10 Apr 2015 |
9,06,50,000 |
Flop |
| 105 |
|
18 Jan 2019 |
8,78,50,000 |
Disaster |
| 106 |
|
30 Mar 2012 |
8,54,50,000 |
Flop |
| 107 |
|
22 Mar 2013 |
8,34,50,000 |
Flop |
| 108 |
|
27 Jul 2018 |
7,35,50,000 |
Flop |
| 109 |
|
7 Jul 2017 |
7,25,50,000 |
Disaster |
| 110 |
|
13 Jan 2012 |
6,91,25,000 |
Flop |
| 111 |
|
21 Apr 2017 |
6,71,25,000 |
Disaster |
| 112 |
|
9 Jan 2004 |
6,40,50,000 |
Flop |
| 113 |
|
6 Nov 2009 |
6,12,10,000 |
Flop |
| 114 |
|
1 Jul 2022 |
5,90,00,000 |
Disaster |
| 115 |
|
25 Sep 2015 |
5,89,50,000 |
Flop |
| 116 |
|
7 Mar 2014 |
5,80,50,000 |
Disaster |
| 117 |
|
26 Jul 2013 |
5,45,25,000 |
Flop |
| 118 |
|
3 May 2019 |
5,00,50,000 |
Disaster |
| 119 |
|
6 Jan 2006 |
4,72,00,000 |
Flop |
| 120 |
|
23 Nov 2018 |
4,48,25,000 |
Disaster |
| 121 |
|
2 Aug 2019 |
4,41,50,000 |
Disaster |
| 122 |
|
27 Jul 2018 |
4,25,00,000 |
Flop |
| 123 |
|
24 Aug 2018 |
4,16,00,000 |
Disaster |
| 124 |
|
14 Sep 2018 |
3,98,25,000 |
Disaster |
| 125 |
|
24 Jun 2016 |
3,69,25,000 |
Disaster |
| 126 |
|
28 Mar 2014 |
3,62,50,000 |
Disaster |
| 127 |
|
24 Dec 2010 |
3,56,75,000 |
Disaster |
| 128 |
|
6 May 2016 |
3,45,00,000 |
Disaster |
| 129 |
|
13 Dec 2019 |
3,37,75,000 |
Disaster |
| 130 |
|
26 Oct 2012 |
3,33,50,000 |
Disaster |
| 131 |
|
8 Jan 2010 |
3,08,50,000 |
Disaster |
| 132 |
|
16 Feb 2018 |
3,03,30,000 |
Disaster |
| 133 |
|
19 Feb 2016 |
2,96,20,000 |
Disaster |
| 134 |
|
10 Jun 2016 |
2,94,00,000 |
Disaster |
| 135 |
|
2 Mar 2018 |
2,85,50,000 |
Disaster |
| 136 |
|
28 Sep 2007 |
2,67,75,000 |
Flop |
| 137 |
|
23 Sep 2011 |
2,56,35,000 |
Disaster |
| 138 |
|
27 Sep 2013 |
2,53,80,000 |
Disaster |
| 139 |
|
3 Jul 2015 |
2,48,00,000 |
Disaster |
| 140 |
|
17 Jan 2020 |
2,40,75,000 |
Disaster |
| 141 |
|
20 Mar 2015 |
2,39,50,000 |
Disaster |
| 142 |
|
14 Oct 2016 |
2,39,50,000 |
Disaster |
| 143 |
|
15 Nov 2019 |
2,37,25,000 |
Disaster |
| 144 |
|
14 Oct 2016 |
2,23,25,000 |
Disaster |
| 145 |
|
27 Aug 2010 |
2,21,00,000 |
Disaster |
| 146 |
|
5 Sep 2008 |
2,13,50,000 |
Disaster |
| 147 |
|
8 Nov 2013 |
2,06,50,000 |
Disaster |
| 148 |
|
1 Feb 2008 |
2,02,25,000 |
Disaster |
| 149 |
|
13 Apr 2012 |
2,00,75,000 |
Disaster |
| 150 |
|
27 Aug 2010 |
1,92,00,000 |
Disaster |
| 151 |
|
12 Aug 2011 |
1,84,75,000 |
Disaster |
| 152 |
|
17 Oct 2014 |
1,82,00,000 |
Disaster |
| 153 |
|
24 May 2013 |
1,66,90,000 |
Disaster |
| 154 |
|
7 Feb 2020 |
1,54,00,000 |
Flop |
| 155 |
|
17 Jan 2014 |
1,40,75,000 |
Disaster |
| 156 |
|
25 Sep 2015 |
1,27,75,000 |
Disaster |
| 157 |
|
14 Jan 2011 |
1,20,00,000 |
Disaster |
| 158 |
|
26 Sep 2014 |
1,10,10,000 |
Disaster |
| 159 |
|
25 Nov 2016 |
94,00,000 |
Disaster |
| 160 |
|
22 Apr 2016 |
90,35,000 |
Disaster |
| 161 |
|
5 Aug 2016 |
89,35,000 |
Disaster |
| 162 |
|
19 Aug 2011 |
70,75,000 |
Disaster |
| 163 |
|
18 Jan 2019 |
66,75,000 |
Disaster |
| 164 |
|
13 Feb 2009 |
59,55,000 |
Disaster |
| 165 |
|
18 Sep 2015 |
58,75,000 |
Disaster |
| 166 |
|
21 Aug 2009 |
58,75,000 |
Disaster |
| 167 |
|
18 May 2018 |
56,15,000 |
Disaster |
| 168 |
|
2 Mar 2012 |
54,25,000 |
Disaster |
| 169 |
|
11 Nov 2016 |
51,25,000 |
Disaster |
| 170 |
|
9 Dec 2011 |
43,00,000 |
Disaster |
| 171 |
|
2 Apr 2021 |
43,00,000 |
Disaster |
| 172 |
|
16 Jan 2015 |
42,50,000 |
Disaster |
| 173 |
|
26 Sep 2014 |
42,20,000 |
Disaster |
| 174 |
|
8 Nov 2019 |
42,00,000 |
Disaster |
| 175 |
|
5 Apr 2008 |
38,50,000 |
Disaster |
| 176 |
|
1 Mar 2013 |
34,25,000 |
Disaster |
| 177 |
|
16 Jan 2015 |
32,75,000 |
Disaster |
| 178 |
|
21 Oct 2011 |
31,60,000 |
Disaster |
| 179 |
|
16 Dec 2011 |
28,65,000 |
Disaster |
| 180 |
|
29 May 2015 |
26,45,000 |
Disaster |
| 181 |
|
31 Aug 2012 |
24,00,000 |
Disaster |
| 182 |
|
5 Nov 2004 |
21,75,000 |
Disaster |
| 183 |
|
10 Jun 2011 |
21,50,000 |
Disaster |
| 184 |
|
10 May 2013 |
19,50,000 |
Disaster |
| 185 |
|
29 Jul 2011 |
16,75,000 |
Disaster |
| 186 |
|
28 Feb 2020 |
16,00,000 |
Disaster |
| 187 |
|
26 Aug 2011 |
15,25,000 |
Disaster |
| 188 |
|
28 Aug 2009 |
14,25,000 |
Disaster |
| 189 |
|
23 Sep 2016 |
13,80,000 |
Disaster |
| 190 |
|
19 Aug 2016 |
13,00,000 |
Disaster |
| 191 |
|
31 Jan 2020 |
12,00,000 |
Disaster |
| 192 |
|
21 Nov 2014 |
10,65,000 |
Disaster |
| 193 |
|
6 Jun 2008 |
10,25,000 |
Disaster |
| 194 |
|
12 Nov 2010 |
10,10,000 |
Disaster |
| 195 |
|
30 Oct 2015 |
8,95,000 |
Disaster |
| 196 |
|
18 Oct 2019 |
8,25,000 |
Disaster |
| 197 |
|
25 Jul 2009 |
7,25,000 |
Disaster |
| 198 |
|
5 Aug 2016 |
6,50,000 |
Disaster |
| 199 |
|
14 Jan 2011 |
6,35,000 |
Disaster |
| 200 |
|
21 Oct 2016 |
6,00,000 |
Disaster |
| 201 |
|
12 Jul 2013 |
4,80,000 |
Disaster |
| 202 |
|
20 Aug 2004 |
4,50,000 |
Disaster |
| 203 |
|
27 Mar 2009 |
3,10,000 |
Disaster |
| 204 |
|
18 May 2012 |
2,75,000 |
Disaster |
| 205 |
|
14 Dec 2012 |
2,35,000 |
Disaster |
| 206 |
|
17 Nov 2006 |
2,10,000 |
Disaster |
| 207 |
|
3 Jan 2020 |
1,75,000 |
Disaster |
| 208 |
|
5 Feb 2010 |
1,30,000 |
Disaster |
| 209 |
|
31 May 2019 |
1,00,000 |
Disaster |
| 210 |
|
29 May 2015 |
75,000 |
Disaster |
| 211 |
|
20 Nov 2009 |
50,000 |
Disaster |
| 212 |
|
24 May 2019 |
50,000 |
Disaster |
| 213 |
|
19 Feb 2021 |
-- |
|
| 214 |
|
25 Dec 2020 |
-- |
|
| 215 |
|
22 Oct 2021 |
-- |
|
| 216 |
|
12 Mar 2021 |
-- |
|