Digital Brand Media & Marketing Group, Inc. (DBMM) Accumulated Expenses (2017 - 2025)
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Analysis
Digital Brand Media & Marketing Group, Inc. (DBMM) Accumulated Expenses (2017 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2025 | 1.77 Mn |
| May 31, 2025 | 1.72 Mn |
| Feb 28, 2025 | 1.58 Mn |
| Nov 30, 2024 | 1.73 Mn |
| Aug 31, 2024 | 1.61 Mn |
| May 31, 2024 | 1.48 Mn |
| Feb 29, 2024 | 1.38 Mn |
| Nov 30, 2023 | 1.31 Mn |
| Aug 31, 2023 | 1.19 Mn |
| May 31, 2023 | 1.10 Mn |
| Feb 28, 2023 | 1.03 Mn |
| Nov 30, 2022 | 967,519.00 |
| Aug 31, 2022 | 890,708.00 |
| May 31, 2022 | 823,180.00 |
| Feb 28, 2022 | 770,071.00 |
| Nov 30, 2021 | 702,803.00 |
| Aug 31, 2021 | 643,331.00 |
| May 31, 2021 | 745,168.00 |
| Feb 28, 2021 | 690,853.00 |
| Nov 30, 2020 | 635,938.00 |
API Access
Digital Brand Media & Marketing Group, Inc. Accumulated Expenses 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=accumulated-expenses&ticker=DBMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DBMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();