Wenyuan (WYGC) EBITDA (2022 - 2026)
Wenyuan's EBITDA came in at -$49,922 for Q2 2026, compared with -$74,165 a year earlier.
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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 | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | 4.20 Bn |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 1.13 Bn |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | 1.24 Bn |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Wenyuan | 5.78 Mn | 5.77 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 | -74,592.00 |
| 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 |
| Dec 31, 2023 | -80,911.00 |
| 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();