Digital Brand Media & Marketing (DBMM) Assets (2011 - 2026)
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Analysis
Digital Brand Media & Marketing (DBMM) Assets (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 62,019.00 |
| Feb 28, 2026 | 81,756.00 |
| Nov 30, 2025 | 52,030.00 |
| Aug 31, 2025 | 58,502.00 |
| May 31, 2025 | 53,880.00 |
| Feb 28, 2025 | 52,754.00 |
| Nov 30, 2024 | 36,551.00 |
| Aug 31, 2024 | 61,417.00 |
| May 31, 2024 | 53,880.00 |
| Feb 29, 2024 | 48,830.00 |
| Nov 30, 2023 | 42,981.00 |
| Aug 31, 2023 | 65,730.00 |
| May 31, 2023 | 34,194.00 |
| Feb 28, 2023 | 84,778.00 |
| Nov 30, 2022 | 37,921.00 |
| Aug 31, 2022 | 31,637.00 |
| May 31, 2022 | 34,194.00 |
| Feb 28, 2022 | 33,023.00 |
| Nov 30, 2021 | 37,098.00 |
| Aug 31, 2021 | 27,928.00 |
API Access
Digital Brand Media & Marketing Assets 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=assets&ticker=DBMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DBMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();