Newegg Commerce (NEGG) Property, Plant & Equipment (Net) (2010 - 2026)
Newegg Commerce's Property, Plant & Equipment (Net) came in at $44.59 million for the quarter ended Jun 30, 2026, up 49.4% from $29.84 million a year earlier.
Newegg Commerce (NEGG) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
As of Dec 31, 2025, Newegg Commerce's Property, Plant & Equipment (Net) was $29.03 million, down 14.1% from the prior year.
- Property, Plant & Equipment (Net) has declined in each of the last four years, with a five-year compound annual growth rate of -9.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Property, Plant & Equipment (Net) was $33.78 million in the year ended Dec 31, 2024 (-17.3%), $40.86 million in the year ended Dec 31, 2023 (-9.4%), $45.08 million in the year ended Dec 31, 2022 (-10.1%) and $50.15 million in the year ended Dec 31, 2021 (+7.9%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Property, Plant & Equipment (Net) since the quarter ended Sep 30, 2023.
- Year-over-year, Property, Plant & Equipment (Net) increased in 1 of the last four quarters, with growth averaging 0.4%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in the quarter ended Jun 30, 2026 (growth of 49.4%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 42.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 18.28 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 6.55 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.26 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 34.77 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.86 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Newegg Commerce | 179.31 Mn | -209.49 Mn | 39.75 Mn | 44.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.59 Mn |
| Dec 31, 2025 | 45.01 Mn |
| Dec 31, 2024 | 51.18 Mn |
| Dec 31, 2023 | 61.48 Mn |
| Sep 30, 2023 | 62.79 Mn |
| Jun 30, 2023 | 64.51 Mn |
| Dec 31, 2022 | 45.08 Mn |
| Sep 30, 2022 | 46.98 Mn |
| Jun 30, 2022 | 49.23 Mn |
| Dec 31, 2021 | 50.15 Mn |
| Sep 30, 2021 | 48.52 Mn |
| Jun 30, 2021 | 47.31 Mn |
| Dec 31, 2020 | 46.47 Mn |
| Jun 30, 2020 | 272,332.00 |
| Dec 31, 2019 | 656,840.00 |
| Jun 30, 2019 | 853,504.00 |
| Dec 31, 2018 | 1.26 Mn |
| Jun 30, 2018 | 320,672.00 |
| Dec 31, 2017 | 531,467.00 |
| Jun 30, 2017 | 607,384.00 |
Newegg Commerce Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NEGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();