Newegg Commerce (NEGG) Land & Improvements (2012 - 2022)
Newegg Commerce (NEGG) posted Land & Improvements of $2.12 million for the quarter ended Sep 30, 2022, down 10.5% from $2.37 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Newegg Commerce (NEGG) Land & Improvements (2012 - 2022) Analysis & Trends
As of Dec 31, 2021, Newegg Commerce's Land & Improvements came in at $2.38 million, up 2.2% from the prior year.
- In prior years, Newegg Commerce's Land & Improvements was $2.32 million in the year ended Dec 31, 2020.
- The figure for the quarter ended Sep 30, 2022 stands as the lowest quarterly Land & Improvements since the quarter ended Jun 30, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,699.85 Bn | 2,216.54 Bn | 104.83 Bn | - |
| 2 | Home Depot | 327.03 Bn | 320.28 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 162.28 Bn | 139.83 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 114.66 Bn | 107.62 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.66 Bn | 58.58 Bn | 2.12 Bn | 1.84 Bn |
| 6 | O Reilly Automotive | 75.09 Bn | 74.17 Bn | 2.52 Bn | - |
| 7 | Target | 71.82 Bn | 66.41 Bn | 8.94 Bn | - |
| 8 | Carvana | 64.53 Bn | 56.13 Bn | 1.38 Bn | - |
| 9 | Autozone | 53.43 Bn | 52.33 Bn | 2.52 Bn | - |
| 10 | Newegg Commerce | 183.75 Mn | -205.05 Mn | 39.75 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 2.12 Mn |
| Jun 30, 2022 | 2.21 Mn |
| Dec 31, 2021 | 2.38 Mn |
| Sep 30, 2021 | 2.37 Mn |
| Jun 30, 2021 | 2.37 Mn |
| Dec 31, 2020 | 2.32 Mn |
| Jun 30, 2013 | 316,757.00 |
| Dec 31, 2012 | 311,973.00 |
API Access
Newegg Commerce Land & Improvements 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=land-and-improvements&ticker=NEGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=NEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();