NetBrands (NBND) Selling, General & Administrative (2019 - 2026)
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Analysis
NetBrands (NBND) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 30,085.00 |
| Dec 31, 2025 | 29,439.00 |
| Sep 30, 2025 | 41,085.00 |
| Mar 31, 2025 | 6,191.00 |
| Dec 31, 2024 | 6,095.00 |
| Sep 30, 2024 | 5,039.00 |
| Jun 30, 2024 | 14,996.00 |
| Mar 31, 2024 | 37,439.00 |
| Dec 31, 2023 | 49,094.00 |
| Sep 30, 2023 | 36,709.00 |
| Jun 30, 2023 | 53,871.00 |
| Mar 31, 2023 | 106,351.00 |
| Dec 31, 2022 | 62,298.00 |
| Sep 30, 2022 | 46,581.00 |
| Jun 30, 2022 | 96,583.00 |
| Mar 31, 2022 | 110,137.00 |
| Dec 31, 2021 | 89,702.00 |
| Sep 30, 2021 | 120,448.00 |
| Jun 30, 2021 | 168,343.00 |
| Mar 31, 2021 | 138,129.00 |
API Access
NetBrands 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=NBND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NBND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();