Digital Brand Media & Marketing (DBMM) Revenue (2010 - 2026)
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Analysis
Digital Brand Media & Marketing (DBMM) Revenue (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 48,600.00 |
| Feb 28, 2026 | 38,672.00 |
| Nov 30, 2025 | 47,017.00 |
| Aug 31, 2025 | 56,331.00 |
| May 31, 2025 | 25,090.00 |
| Feb 28, 2025 | 27,604.00 |
| Nov 30, 2024 | 28,973.00 |
| Aug 31, 2024 | 29,199.00 |
| May 31, 2024 | 42,335.00 |
| Feb 29, 2024 | 80,784.00 |
| Nov 30, 2023 | 85,550.00 |
| Aug 31, 2023 | 88,288.00 |
| May 31, 2023 | 98,496.00 |
| Feb 28, 2023 | 68,329.00 |
| Nov 30, 2022 | 54,531.00 |
| Aug 31, 2022 | 60,866.00 |
| May 31, 2022 | 68,130.00 |
| Feb 28, 2022 | 39,264.00 |
| Nov 30, 2021 | 57,582.00 |
| Aug 31, 2021 | 51,174.00 |
API Access
Digital Brand Media & Marketing Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=revenue&ticker=DBMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "DBMM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=DBMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();