Digital Brand Media & Marketing (DBMM) Selling, General & Administrative (2009 - 2026)
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Analysis
Digital Brand Media & Marketing (DBMM) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 127,855.00 |
| Feb 28, 2026 | 132,917.00 |
| Nov 30, 2025 | 166,654.00 |
| Aug 31, 2025 | 148,311.00 |
| May 31, 2025 | 91,406.00 |
| Feb 28, 2025 | 194,379.00 |
| Nov 30, 2024 | 135,480.00 |
| Aug 31, 2024 | 144,502.00 |
| May 31, 2024 | 102,360.00 |
| Feb 29, 2024 | 101,605.00 |
| Nov 30, 2023 | 116,707.00 |
| Aug 31, 2023 | 92,422.00 |
| May 31, 2023 | 107,022.00 |
| Feb 28, 2023 | 115,546.00 |
| Nov 30, 2022 | 148,704.00 |
| Aug 31, 2022 | 111,134.00 |
| May 31, 2022 | 124,451.00 |
| Feb 28, 2022 | 151,529.00 |
| Nov 30, 2021 | 165,925.00 |
| Aug 31, 2021 | 180,256.00 |
API Access
Digital Brand Media & Marketing Selling, General & Administrative 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=selling-general-and-administrative&ticker=DBMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DBMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();