Newegg Commerce (NEGG) Selling, General & Administrative (2010 - 2026)
Newegg Commerce (NEGG) reported Selling, General & Administrative of $38.34 million for the quarter ended Jun 30, 2026, down 13.2% from $44.16 million a year earlier.
Newegg Commerce (NEGG) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Newegg Commerce's Selling, General & Administrative came in at $217.33 million, down 8.8% year-over-year; for the year ended Dec 31, 2025, it came in at $114.8 million, down 5.0% from the prior year.
- Selling, General & Administrative has declined for four consecutive years, with a five-year compound annual growth rate of -14.4% (years ended Dec 2020 to Dec 2025).
- By year, Selling, General & Administrative came in at $120.82 million in the year ended Dec 31, 2024 (-49.4%), $238.64 million in the year ended Dec 31, 2023 (-10.3%), $266.16 million in the year ended Dec 31, 2022 (-9.0%) and $292.46 million in the year ended Dec 31, 2021 (+16.9%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Selling, General & Administrative since the quarter ended Dec 31, 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Newegg Commerce | 213.53 Mn | -175.27 Mn | 39.75 Mn | 38.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.34 Mn |
| Jun 30, 2025 | 44.16 Mn |
| Dec 31, 2023 | 67.09 Mn |
| Dec 31, 2022 | 67.74 Mn |
| Sep 30, 2022 | 59.43 Mn |
| Dec 31, 2021 | 76.28 Mn |
| Sep 30, 2021 | 71.72 Mn |
| Dec 31, 2020 | 78.82 Mn |
| Sep 30, 2020 | 170.21 Mn |
| Dec 31, 2012 | 1.14 Mn |
| Sep 30, 2012 | 432,169.00 |
| Jun 30, 2012 | 540,789.00 |
| Mar 31, 2012 | 490,713.00 |
| Dec 31, 2011 | 1.21 Mn |
| Sep 30, 2011 | 396,692.00 |
| Jun 30, 2011 | 512,641.00 |
| Mar 31, 2011 | 503,526.00 |
| Dec 31, 2010 | 381,680.00 |
| Sep 30, 2010 | 355,431.00 |
| Jun 30, 2010 | 297,024.00 |
Newegg Commerce Selling, General & Administrative 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=selling-general-and-administrative&ticker=NEGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();