Digital Brand Media & Marketing (DBMM) EBT (2009 - 2026)
Analysis
Digital Brand Media & Marketing (DBMM) EBT (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -296,055.00 |
| Feb 28, 2026 | -228,357.00 |
| Nov 30, 2025 | -306,039.00 |
| Aug 31, 2025 | -429,450.00 |
| May 31, 2025 | -228,379.00 |
| Feb 28, 2025 | -317,690.00 |
| Nov 30, 2024 | -320,664.00 |
| Aug 31, 2024 | -374,637.00 |
| May 31, 2024 | -290,774.00 |
| Feb 29, 2024 | -174,231.00 |
| Nov 30, 2023 | -229,249.00 |
| Aug 31, 2023 | -168,136.00 |
| May 31, 2023 | -158,706.00 |
| Feb 28, 2023 | -202,867.00 |
| Nov 30, 2022 | -198,350.00 |
| Aug 31, 2022 | -156,825.00 |
| May 31, 2022 | -182,137.00 |
| Feb 28, 2022 | -272,553.00 |
| Nov 30, 2021 | -231,569.00 |
| Aug 31, 2021 | -281,592.00 |
API Access
Digital Brand Media & Marketing EBT 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=ebt&ticker=DBMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DBMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();