How much does Thunder make on YouTube?

Thunder ยท by EXO - Topic

Estimated lifetime YouTube ad earnings
$5,899
on 7,374,265 views ยท ~$0.80 creator RPM
Per 1,000 views
$0.80
Per 1M views
$800
Recent month
$94

Estimated Earnings (Best Estimate)

Single-figure creator earnings using 2026 category-specific RPM data (~$0.80/1,000 views for this video), net of YouTube's 45% share. Music and Shorts monetize 10โ€“30ร— lower than Finance, Tech, and Education. Actual revenue varies with audience geography, advertiser demand, and Premium splits.

Total Views Tracked
940,811
940.81K
Total Estimated Earnings
$752.65
~$0.80 RPM
Avg per Month
$0.00

Peak Performance

๐Ÿ† Best Month -
$0.00
0 views
๐Ÿ“‰ Lowest Month -
$0.00
0 views
๐Ÿ‘๏ธ Most Views -
0

Projections

๐Ÿ”ฎ Next Month Estimate
$0.00
Based on current trend
๐Ÿ“… Annual Projection
$0.00
If current rate continues
๐Ÿ“Š Growth Trend
--
Month-over-month
Export Data

Earnings Trend

Month-over-month estimated earnings

Estimated

๐Ÿ’ก Future Feature: Full historical data (6+ months) will be available with a premium subscription. Currently showing all available data.

Monthly Breakdown

Based on view count changes between data points

Month Views Gained Estimated Earnings Growth
February 2026
52,212
52.21K
$41.77
March 2026
106,252
106.25K
$85.00
April 2026
147,677
147.68K
$118.14
May 2026
139,354
139.35K
$111.48
June 2026
116,732
116.73K
$93.39
July 2026
111,808
111.81K
$89.45
August 2026
124,966
124.97K
$99.97
September 2026
141,810
141.81K
$113.45
Total 940,811 $752.65

About These Estimates

Earnings use 2026 creator RPM data (revenue per 1,000 views, net of YouTube's 45% share). We blend per-category and Shorts-specific rates from public industry reporting.

Example net RPMs we apply:

  • Music: ~$0.80 / 1,000 views
  • People & Blogs: ~$1.20 / 1,000 views
  • Entertainment / Film: ~$1.50โ€“$1.80 / 1,000 views
  • Gaming: ~$3.00 / 1,000 views
  • Education / Science & Tech: ~$7โ€“$8 / 1,000 views
  • YouTube Shorts: ~$0.05 / 1,000 views

Real-world earnings vary with viewer geography, ad demand, audience demographics, YouTube Premium splits, and seasonality.