NetBrands (NBND) EBT (2018 - 2026)
Analysis
NetBrands (NBND) EBT (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -677,294.00 |
| Dec 31, 2025 | -362,094.00 |
| Sep 30, 2025 | -1.21 Mn |
| Jun 30, 2025 | -23,616.00 |
| Mar 31, 2025 | -103,045.00 |
| Dec 31, 2024 | -256,097.00 |
| Sep 30, 2024 | -56,239.00 |
| Jun 30, 2024 | -553,345.00 |
| Mar 31, 2024 | -439,559.00 |
| Dec 31, 2023 | -180,776.00 |
| Sep 30, 2023 | -422,740.00 |
| Jun 30, 2023 | -425,808.00 |
| Mar 31, 2023 | -292,020.00 |
| Dec 31, 2022 | -226,503.00 |
| Sep 30, 2022 | -367,903.00 |
| Jun 30, 2022 | -288,462.00 |
| Mar 31, 2022 | -203,794.00 |
| Dec 31, 2021 | -403,769.00 |
| Sep 30, 2021 | -27,432.00 |
| Jun 30, 2021 | -372,132.00 |
API Access
NetBrands EBT 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=ebt&ticker=NBND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=NBND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();