NetBrands (NBND) Assets (2017 - 2026)
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Analysis
NetBrands (NBND) Assets (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 91,180.00 |
| Dec 31, 2025 | 102,185.00 |
| Sep 30, 2025 | 52,020.00 |
| Jun 30, 2025 | 1,600.00 |
| Mar 31, 2025 | 1,600.00 |
| Dec 31, 2024 | 1,600.00 |
| Sep 30, 2024 | 7,695.00 |
| Jun 30, 2024 | 8,594.00 |
| Mar 31, 2024 | 49,763.00 |
| Dec 31, 2023 | 15,079.00 |
| Sep 30, 2023 | 657,776.00 |
| Jun 30, 2023 | 740,502.00 |
| Mar 31, 2023 | 969,995.00 |
| Dec 31, 2022 | 980,434.00 |
| Sep 30, 2022 | 735,382.00 |
| Jun 30, 2022 | 782,013.00 |
| Mar 31, 2022 | 831,099.00 |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | 1.18 Mn |
| Jun 30, 2021 | 1.05 Mn |
API Access
NetBrands Assets 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=assets&ticker=NBND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=NBND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();