Wenyuan (WYGC) Net Margin (2011 - 2024)
Wenyuan's Net Margin was -2594.89% in FY2025, down 651.62 percentage points from -1943.27% in FY2024.
Analysis
Wenyuan (WYGC) Net Margin (2011 - 2024) Analysis & Trends
From FY2011 onward, Wenyuan has reported Net Margin for 5 years.
- Net Margin shows a three-year change of -780.40 percentage points (FY2022 to FY2025).
- Annual Net Margin has moved between -4867.96% (FY2023) and -1814.49% (FY2022) over five years.
- Per Business Quant data, Net Margin in earlier years was -1943.27% in FY2024 (+2924.69 pp), -4867.96% in FY2023 (-3053.47 pp) and -1814.49% in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | 10.24% |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | 9.96% |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn | 10.01% |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn | 9.24% |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn | 3.59% |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn | 15.34% |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn | 13.59% |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn | 7.07% |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn | 14.13% |
| 10 | Wenyuan | 3.30 Mn | 3.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -754.55% |
| Jun 30, 2024 | -1,948.76% |
| Mar 31, 2024 | -1,186.39% |
| Sep 30, 2023 | -34.00% |
| Jun 30, 2023 | -6,403.69% |
| Mar 31, 2023 | -3,239.95% |
| Dec 31, 2022 | -2,518.82% |
| Sep 30, 2022 | -355.73% |
| Jun 30, 2022 | -1,660.11% |
| Mar 31, 2022 | -3,693.42% |
| Dec 31, 2011 | 190,174.23% |
| Sep 30, 2011 | -2,151,027.27% |
API Access
Wenyuan Net Margin 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=net-margin&ticker=WYGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "WYGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();