Digital Brand Media & Marketing (DBMM) Shares Outstanding (2010 - 2026)
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Analysis
Digital Brand Media & Marketing (DBMM) Shares Outstanding (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 865.22 Mn |
| Feb 28, 2026 | 865.22 Mn |
| Nov 30, 2025 | 865.22 Mn |
| Aug 31, 2025 | 848.34 Mn |
| May 31, 2025 | 925.22 Mn |
| Feb 28, 2025 | 856.33 Mn |
| Nov 30, 2024 | 825.22 Mn |
| Aug 31, 2024 | 825.22 Mn |
| May 31, 2024 | 825.22 Mn |
| Feb 29, 2024 | 825.22 Mn |
| Nov 30, 2023 | 825.22 Mn |
| Aug 31, 2023 | 797.25 Mn |
| May 31, 2023 | 795.22 Mn |
| Feb 28, 2023 | 790.20 Mn |
| Nov 30, 2022 | 787.72 Mn |
| Aug 31, 2022 | 771.28 Mn |
| May 31, 2022 | 782.72 Mn |
| Feb 28, 2022 | 757.72 Mn |
| Nov 30, 2021 | 757.72 Mn |
| Aug 31, 2021 | 757.72 Mn |
API Access
Digital Brand Media & Marketing Shares Outstanding 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=shares-outstanding&ticker=DBMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=DBMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();