NetBrands (NBND) Interest Expenses (2019 - 2026)
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Analysis
NetBrands (NBND) Interest Expenses (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 84,680.00 |
| Dec 31, 2025 | 119,253.00 |
| Sep 30, 2025 | 590,797.00 |
| Jun 30, 2025 | 23,616.00 |
| Dec 31, 2024 | 250,000.00 |
| Sep 30, 2024 | 4,117.00 |
| Jun 30, 2024 | 4,584.00 |
| Mar 31, 2024 | 228,516.00 |
| Dec 31, 2023 | -1,941.00 |
| Sep 30, 2023 | 304,372.00 |
| Jun 30, 2023 | 76,374.00 |
| Mar 31, 2023 | 27,241.00 |
| Dec 31, 2022 | 10,599.00 |
| Sep 30, 2022 | 2,657.00 |
| Jun 30, 2022 | 5,531.00 |
| Mar 31, 2022 | 1,080.00 |
| Dec 31, 2021 | 1,274.00 |
| Sep 30, 2021 | 4,905.00 |
| Jun 30, 2021 | 3,746.00 |
| Mar 31, 2021 | 2,677.00 |
API Access
NetBrands Interest 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=interest-expenses&ticker=NBND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=NBND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();