Wenyuan (WYGC) Operating Expenses (2009 - 2026)
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Analysis
Wenyuan (WYGC) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | 173.87 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn | 805.00 Mn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn | 1.71 Bn |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn | 1.02 Bn |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn | 5.73 Bn |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn | 2.20 Bn |
| 10 | Wenyuan | 3.30 Mn | 3.30 Mn | - | 51,819.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51,819.00 |
| Mar 31, 2026 | 63,416.00 |
| Dec 31, 2025 | 403,528.00 |
| Sep 30, 2025 | 74,827.00 |
| Jun 30, 2025 | 78,392.00 |
| Mar 31, 2025 | 83,988.00 |
| Dec 31, 2024 | -44,230.00 |
| Sep 30, 2024 | 91,696.00 |
| Jun 30, 2024 | 333,477.00 |
| Mar 31, 2024 | 488,632.00 |
| Sep 30, 2023 | 133,692.00 |
| Jun 30, 2023 | 171,540.00 |
| Mar 31, 2023 | 651,685.00 |
| Dec 31, 2022 | 571,646.00 |
| Sep 30, 2022 | 51,390.00 |
| Jun 30, 2022 | 119,617.00 |
| Mar 31, 2022 | 44,520.00 |
| Sep 30, 2021 | 13,000.00 |
| Jun 30, 2021 | -6,500.00 |
| Dec 31, 2018 | 3,519.00 |
API Access
Wenyuan Operating Expenses 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=operating-expenses&ticker=WYGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();