Newegg Commerce (NEGG) Total Liabilities (2010 - 2026)
Newegg Commerce's Total Liabilities came in at $251.3 million for the quarter ended Jun 30, 2026, up 51.7% from $165.64 million a year earlier.
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Analysis
Newegg Commerce (NEGG) Total Liabilities (2010 - 2026) Analysis & Trends
As of Dec 31, 2025, Newegg Commerce's Total Liabilities was $198.76 million, unchanged from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of -14.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $198.84 million in the year ended Dec 31, 2024 (-19.1%), $245.67 million in the year ended Dec 31, 2023 (-36.5%), $386.87 million in the year ended Dec 31, 2022 (-12.9%) and $444.3 million in the year ended Dec 31, 2021 (+3.3%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Total Liabilities since the quarter ended Sep 30, 2023.
- Year-over-year, Total Liabilities increased in two of the last four quarters, with growth averaging 7.9%.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Jun 30, 2026 (growth of 51.7%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 41.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Newegg Commerce | 234.71 Mn | -154.09 Mn | 39.75 Mn | 251.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 251.30 Mn |
| Dec 31, 2025 | 308.20 Mn |
| Dec 31, 2024 | 301.23 Mn |
| Dec 31, 2023 | 369.66 Mn |
| Sep 30, 2023 | 282.72 Mn |
| Jun 30, 2023 | 296.15 Mn |
| Dec 31, 2022 | 386.87 Mn |
| Sep 30, 2022 | 313.15 Mn |
| Jun 30, 2022 | 336.15 Mn |
| Dec 31, 2021 | 444.30 Mn |
| Sep 30, 2021 | 372.67 Mn |
| Jun 30, 2021 | 364.43 Mn |
| Dec 31, 2020 | 429.97 Mn |
| Jun 30, 2020 | 3.96 Mn |
| Dec 31, 2019 | -89.71 Mn |
| Jun 30, 2019 | 3.97 Mn |
| Dec 31, 2018 | 69.05 Mn |
| Jun 30, 2018 | 7.37 Mn |
| Dec 31, 2017 | 4.41 Mn |
| Jun 30, 2017 | 692,365.00 |
API Access
Newegg Commerce Total Liabilities 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=total-liabilities&ticker=NEGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();