NetBrands (NBND) Operating Expenses (2018 - 2026)
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Analysis
NetBrands (NBND) Operating Expenses (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 127,725.00 |
| Dec 31, 2025 | 121,939.00 |
| Sep 30, 2025 | 454,917.00 |
| Mar 31, 2025 | 6,191.00 |
| Dec 31, 2024 | 6,098.00 |
| Sep 30, 2024 | 52,122.00 |
| Jun 30, 2024 | 548,761.00 |
| Mar 31, 2024 | 211,042.00 |
| Dec 31, 2023 | 146,167.00 |
| Sep 30, 2023 | 151,697.00 |
| Jun 30, 2023 | 409,420.00 |
| Mar 31, 2023 | 372,702.00 |
| Dec 31, 2022 | 316,006.00 |
| Sep 30, 2022 | 414,763.00 |
| Jun 30, 2022 | 432,589.00 |
| Mar 31, 2022 | 311,047.00 |
| Dec 31, 2021 | 582,594.00 |
| Sep 30, 2021 | 304,059.00 |
| Jun 30, 2021 | 608,109.00 |
| Mar 31, 2021 | 742,415.00 |
API Access
NetBrands Operating 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=operating-expenses&ticker=NBND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NBND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();