Digital Brand Media & Marketing (DBMM) Income towards Parent Company (2009 - 2026)
Analysis
Digital Brand Media & Marketing (DBMM) Income towards Parent Company (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -296,439.00 |
| Feb 28, 2026 | -244,792.00 |
| Nov 30, 2025 | -305,414.00 |
| Aug 31, 2025 | -661,745.00 |
| May 31, 2025 | -227,965.00 |
| Feb 28, 2025 | 184,504.00 |
| Nov 30, 2024 | -355,014.00 |
| Aug 31, 2024 | -343,867.00 |
| May 31, 2024 | -116,070.00 |
| Feb 29, 2024 | -189,452.00 |
| Nov 30, 2023 | -395,753.00 |
| Aug 31, 2023 | 2,631.00 |
| May 31, 2023 | 23,534.00 |
| Feb 28, 2023 | -374,638.00 |
| Nov 30, 2022 | -364,670.00 |
| Aug 31, 2022 | -221,310.00 |
| May 31, 2022 | -282,895.00 |
| Feb 28, 2022 | 23,651.00 |
| Nov 30, 2021 | -145,514.00 |
| Aug 31, 2021 | -171,449.00 |
API Access
Digital Brand Media & Marketing Income towards Parent Company 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=income-towards-parent-company&ticker=DBMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-towards-parent-company", "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=income-towards-parent-company&ticker=DBMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();