Digital Brand Media & Marketing (DBMM) Receivables - Net (2011 - 2026)
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Analysis
Digital Brand Media & Marketing (DBMM) Receivables - Net (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 36,663.00 |
| Feb 28, 2026 | 18,166.00 |
| Nov 30, 2025 | 18,137.00 |
| Aug 31, 2025 | 35,139.00 |
| May 31, 2025 | 18,970.00 |
| Feb 28, 2025 | 15,711.00 |
| Nov 30, 2024 | 9,249.00 |
| Aug 31, 2024 | 11,010.00 |
| May 31, 2024 | 11,099.00 |
| Feb 29, 2024 | 26,694.00 |
| Nov 30, 2023 | 31,586.00 |
| Aug 31, 2023 | 20,739.00 |
| May 31, 2023 | 21,605.00 |
| Feb 28, 2023 | 24,062.00 |
| Nov 30, 2022 | 20,389.00 |
| Aug 31, 2022 | 20,383.00 |
| May 31, 2022 | 17,895.00 |
| Feb 28, 2022 | 931.00 |
| Nov 30, 2021 | 19,587.00 |
| Aug 31, 2021 | 16,251.00 |
API Access
Digital Brand Media & Marketing Receivables - Net 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=receivables-net&ticker=DBMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=DBMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();