Automotive News

Automotive News

@automotivenews
UCyKkVoaKY-5dPx3SWD69CzA Created on YouTube: 24.03.2009 Lifestyle Open on YouTube
First seen in analytics: 11.04.2026
Subscribers
9 050
+1 110 / 30d
Views
1 285 544
+209 500 / 30d
Videos
2 020
+114 / 30d
Global Rank
#6,160
Topic Rank
#2,001
Lifestyle
Est. Monthly Earnings
$314 – $942
Based on 30-day views × topic CPM

Date

Date Subscribers ± Views ± Videos ±
2026-08-06 7 940 — 1 076 044 — 1 906 —
2026-08-09 7 950 +10 1 077 513 +1 469 1 909 +3
2026-08-12 7 970 +20 1 078 305 +792 1 914 +5
2026-08-13 8 010 +40 1 078 733 +428 1 917 +3
2026-08-15 8 030 +20 1 082 055 +3 322 1 919 +2
2026-08-18 8 060 +30 1 083 571 +1 516 1 923 +4
2026-08-21 8 130 +70 1 089 042 +5 471 1 928 +5
2026-08-22 8 170 +40 1 090 265 +1 223 1 930 +2
2026-08-23 8 200 +30 1 092 808 +2 543 1 932 +2
2026-08-24 8 220 +20 1 094 194 +1 386 1 933 +1
2026-08-27 8 330 +110 1 097 826 +3 632 1 938 +5
2026-08-28 8 380 +50 1 105 996 +8 170 1 939 +1
2026-08-29 8 410 +30 1 113 698 +7 702 1 940 +1
2026-08-31 8 450 +40 1 121 103 +7 405 1 942 +2
2026-09-06 8 560 +110 1 130 845 +9 742 1 953 +11
2026-09-11 8 600 +40 1 150 659 +19 814 1 961 +8
2026-09-16 8 670 +70 1 177 814 +27 155 1 968 +7
2026-09-18 8 720 +50 1 194 237 +16 423 1 972 +4
2026-09-21 8 780 +60 1 206 930 +12 693 1 976 +4
2026-09-25 8 820 +40 1 222 731 +15 801 1 983 +7
2026-09-30 8 870 +50 1 233 558 +10 827 1 989 +6
2026-10-03 8 880 +10 1 238 524 +4 966 1 998 +9
2026-10-04 8 930 +50 1 240 148 +1 624 1 999 +1
2026-10-05 8 940 +10 1 249 698 +9 550 2 000 +1
2026-10-09 9 000 +60 1 264 237 +14 539 2 007 +7
2026-10-11 9 020 +20 1 279 375 +15 138 2 009 +2
2026-10-12 9 030 +10 1 281 573 +2 198 2 010 +1
2026-10-13 9 040 +10 1 282 047 +474 2 013 +3
2026-10-15 9 050 +10 1 285 365 +3 318 2 015 +2
2026-10-16 latest 9 050 0 1 285 544 +179 2 020 +5
Daily Average 13 3 591 2
Weekly Average 79 22 744 14
Last 14 days 180 51 986 31
Last 30 days 380 107 730 52

Charts and Forecast for the Channel Automotive News

About the Channel Growth Forecast Automotive News: The forecast is based on linear regression of historical data and is intended for reference purposes only.

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