Newegg Commerce (NEGG) EPS (Diluted) (2010 - 2026)
Newegg Commerce's EPS (Diluted) was $13.13 in the quarter ended Jun 30, 2026, compared with -$10.02 a year earlier.
Newegg Commerce (NEGG) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Newegg Commerce's EPS (Diluted) was -$262.75 through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$18.58.
- In earlier years, EPS (Diluted) was -$168.78 in the year ended Dec 31, 2024, -$348.12 in the year ended Dec 31, 2023, -$338.91 in the year ended Dec 31, 2022 and $213.99 in the year ended Dec 31, 2021 (+19.2%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly EPS (Diluted) since the quarter ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 2.66 |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 0.86 |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 4.11 |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 38.07 |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 0.42 |
| 10 | Newegg Commerce | 234.71 Mn | -154.09 Mn | 39.75 Mn | 0.10 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.10 |
| Jun 30, 2025 | -0.08 |
| Dec 31, 2023 | -0.69 |
| Dec 31, 2022 | -1.39 |
| Sep 30, 2022 | -0.39 |
| Dec 31, 2021 | 0.29 |
| Sep 30, 2021 | 76.78 |
| Dec 31, 2020 | 53.87 |
| Sep 30, 2020 | 50.45 |
| Dec 31, 2012 | 12.28 |
| Sep 30, 2012 | 35.26 |
| Jun 30, 2012 | 57.33 |
| Mar 31, 2012 | 4.28 |
| Dec 31, 2011 | -7.78 |
| Sep 30, 2011 | 48.93 |
| Jun 30, 2011 | 61.66 |
| Mar 31, 2011 | 7.05 |
| Dec 31, 2010 | 56.72 |
| Sep 30, 2010 | 48.35 |
| Jun 30, 2010 | 42.75 |
Newegg Commerce EPS (Diluted) 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=eps-diluted&ticker=NEGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=NEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();