Newegg Commerce (NEGG) Exchange Rate Effect (2010 - 2023)
Newegg Commerce's (NEGG) quarterly Exchange Rate Effect came in at -$305000.0 in Q4 2023, down 210.11% year-over-year from $277000.0 in Q4 2022, and down 210.11% quarter-over-quarter from $277000.0 in Q4 2022.
Newegg Commerce (NEGG) Exchange Rate Effect (2010 - 2023) Analysis & Trends
Newegg Commerce has disclosed Exchange Rate Effect across 7 years of filings, most recently posting -$305000.0 for Q4 2023.
- In Q4 2023, Exchange Rate Effect fell 210.11% year-over-year to -$305000.0; the TTM figure through Dec 2023 stood at $140000.0 (down 83.43% YoY), while the FY2025 annual figure was $127049.8, up 108.36% from the prior year.
- Exchange Rate Effect came in at -$305000.0 for Q4 2023 at Newegg Commerce, down from $277000.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $400000.0 in Q3 2021 to a low of -$489000.0 in Q4 2020.
- Average Exchange Rate Effect over 4 years is $36857.1, with a median of $100000.0 recorded in 2022.
- Year-over-year, Exchange Rate Effect jumped 307.35% in 2022 and tumbled 210.11% in 2023.
- Over 4 years, Exchange Rate Effect stood at -$489000.0 in 2020, then jumped by 113.91% to $68000.0 in 2021, then surged by 307.35% to $277000.0 in 2022, then plunged by 210.11% to -$305000.0 in 2023.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$305000.0 in Q4 2023, $277000.0 in Q4 2022, and $100000.0 in Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,735.76 Bn | 2,612.77 Bn | 198.88 Bn | -54.00 Mn |
| 2 | JD.com | 32.66 Bn | 9.40 Bn | 16.50 Bn | -401.00 Mn |
| 3 | Coupang | 25.61 Bn | 19.50 Bn | 2.49 Bn | -94.00 Mn |
| 4 | Wayfair | 13.93 Bn | 12.79 Bn | 1.05 Bn | 1.00 Mn |
| 5 | GigaCloud Technology | 3.80 Bn | 3.42 Bn | 105.56 Mn | 132,000.00 |
| 6 | Pattern | 3.04 Bn | 2.69 Bn | 384.36 Mn | 127,000.00 |
| 7 | Yunji | 1.88 Bn | 1.86 Bn | - | - |
| 8 | Revolve | 1.47 Bn | 1.13 Bn | 196.67 Mn | -75,000.00 |
| 9 | ATRenew | 632.36 Mn | 371.23 Mn | -705.59 Mn | - |
| 10 | Newegg Commerce | 2.31 Mn | -80.78 Mn | 39.75 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -305,000.00 |
| Dec 31, 2022 | 277,000.00 |
| Sep 30, 2022 | 100,000.00 |
| Dec 31, 2021 | 68,000.00 |
| Sep 30, 2021 | 400,000.00 |
| Dec 31, 2020 | -489,000.00 |
| Sep 30, 2020 | 207,000.00 |
| Dec 31, 2012 | 34,602.00 |
| Sep 30, 2012 | 211,511.00 |
| Jun 30, 2012 | -247,599.00 |
| Mar 31, 2012 | 41,252.00 |
| Dec 31, 2011 | 257,799.00 |
| Sep 30, 2011 | 324,844.00 |
| Jun 30, 2011 | 312,083.00 |
| Mar 31, 2011 | 184,469.00 |
| Dec 31, 2010 | 276,254.00 |
| Sep 30, 2010 | 243,049.00 |
Newegg Commerce Exchange Rate Effect 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=exchange-rate-effect&ticker=NEGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();