Wenyuan (WYGC) EBITDA (2022 - 2026)
Wenyuan's EBITDA came in at -$49,922 for Q2 2026, compared with -$74,165 a year earlier.
Powered by 
Analysis
Wenyuan (WYGC) EBITDA (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wenyuan reported EBITDA of -$577,153; for FY2025, it was -$621,661.
- Going back by year, EBITDA was -$1.16 million in FY2024, -$1.01 million in FY2023 and -$741,992 in FY2022.
- The Q2 2026 figure represents the highest quarterly EBITDA since Q3 2022.
- Business Quant data shows WYGC's EBITDA at -$61,526 (Q1 2026), -$395,141 (Q4 2025) and -$70,564 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | 49.03 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn | 784.00 Mn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn | 1.24 Bn |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn | 1.24 Bn |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn | 3.34 Bn |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn | 1.54 Bn |
| 10 | Wenyuan | 3.30 Mn | 3.30 Mn | - | -49,922.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -49,922.00 |
| Mar 31, 2026 | -61,526.00 |
| Dec 31, 2025 | -395,141.00 |
| Sep 30, 2025 | -70,564.00 |
| Jun 30, 2025 | -74,165.00 |
| Mar 31, 2025 | -79,392.00 |
| Dec 31, 2024 | -284,899.00 |
| Sep 30, 2024 | -81,473.00 |
| Jun 30, 2024 | -314,412.00 |
| Mar 31, 2024 | -482,718.00 |
| Sep 30, 2023 | -130,708.00 |
| Jun 30, 2023 | -166,526.00 |
| Mar 31, 2023 | -631,803.00 |
| Dec 31, 2022 | -546,753.00 |
| Sep 30, 2022 | -39,699.00 |
| Jun 30, 2022 | -112,433.00 |
| Mar 31, 2022 | -43,107.00 |
API Access
Wenyuan EBITDA 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=ebitda&ticker=WYGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();