Newegg Commerce (NEGG) Long-Term Debt Repayments (2020 - 2023)
Newegg Commerce's Long-Term Debt Repayments came in at -$874,630 for the year ended Dec 31, 2024, compared with -$264,000 a year earlier.
Analysis
Newegg Commerce (NEGG) Long-Term Debt Repayments (2020 - 2023) Analysis & Trends
Going back to the year ended Dec 31, 2011, Newegg Commerce's Long-Term Debt Repayments data covers 13 years.
- The figure for the year ended Dec 31, 2024 represents the lowest annual Long-Term Debt Repayments since the year ended Dec 31, 2019.
- Per Business Quant, earlier years put Long-Term Debt Repayments at -$264,000 in the year ended Dec 31, 2023, -$274,000 in the year ended Dec 31, 2022, -$285,000 in the year ended Dec 31, 2021 and -$265,000 in the year ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,715.19 Bn | 2,231.89 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 322.27 Bn | 315.52 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 162.16 Bn | 139.71 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 113.53 Bn | 106.49 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 74.91 Bn | 74.00 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 74.55 Bn | 57.48 Bn | 2.12 Bn | - |
| 7 | Target | 70.59 Bn | 65.18 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.95 Bn | 51.85 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.09 Bn | 32.58 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Newegg Commerce | 222.82 Mn | -165.98 Mn | 39.75 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 463,000.00 |
| Dec 31, 2022 | 483,000.00 |
| Sep 30, 2022 | -68,000.00 |
| Dec 31, 2021 | 498,000.00 |
| Sep 30, 2021 | -72,000.00 |
| Dec 31, 2020 | 462,000.00 |
| Sep 30, 2020 | -66,000.00 |
API Access
Newegg Commerce Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NEGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "NEGG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=NEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();