NetBrands (NBND) Revenue (2018 - 2026)
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Analysis
NetBrands (NBND) Revenue (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 13,816.00 |
| Dec 31, 2025 | 11,155.00 |
| Sep 30, 2025 | 7,110.00 |
| Dec 31, 2023 | 60,531.00 |
| Sep 30, 2023 | 71,938.00 |
| Jun 30, 2023 | 194,383.00 |
| Mar 31, 2023 | 317,684.00 |
| Dec 31, 2022 | 354,606.00 |
| Sep 30, 2022 | 394,924.00 |
| Jun 30, 2022 | 560,724.00 |
| Mar 31, 2022 | 332,885.00 |
| Dec 31, 2021 | 552,437.00 |
| Sep 30, 2021 | 732,601.00 |
| Jun 30, 2021 | 556,579.00 |
| Mar 31, 2021 | 823,400.00 |
| Dec 31, 2020 | 400,187.00 |
| Sep 30, 2020 | 667,237.00 |
| Jun 30, 2020 | 253,341.00 |
| Mar 31, 2020 | 339,961.00 |
| Dec 31, 2019 | 276,448.00 |
API Access
NetBrands Revenue 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=revenue&ticker=NBND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "NBND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=NBND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();