NetBrands (NBND) Accounts Payables (2017 - 2026)
Analysis
NetBrands (NBND) Accounts Payables (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.11 Mn |
| Dec 31, 2025 | 1.05 Mn |
| Sep 30, 2025 | 1.49 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.17 Mn |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 965,986.00 |
| Jun 30, 2024 | 904,775.00 |
| Mar 31, 2024 | 783,955.00 |
| Dec 31, 2023 | 710,824.00 |
| Sep 30, 2023 | 696,841.00 |
| Jun 30, 2023 | 425,737.00 |
| Mar 31, 2023 | 471,503.00 |
| Dec 31, 2022 | 325,374.00 |
| Sep 30, 2022 | 451,450.00 |
| Jun 30, 2022 | 228,580.00 |
| Mar 31, 2022 | 241,188.00 |
| Dec 31, 2021 | 491,684.00 |
| Sep 30, 2021 | 390,614.00 |
| Jun 30, 2021 | 582,926.00 |
API Access
NetBrands Accounts Payables 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=accounts-payables&ticker=NBND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=NBND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();