Wenyuan (WYGC) Operating Expenses (2010 - 2026)
Wenyuan (WYGC) posted Operating Expenses of $63,416 for Q1 2026, down 24.5% from $83,988 a year earlier and down 84.3% from the prior quarter.
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Analysis
Wenyuan (WYGC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Wenyuan was $620,163, up 33.4% year-over-year; for FY2025, it was $640,735, down 26.3% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 215.1% (FY2021 to FY2025).
- In prior years, Wenyuan's Operating Expenses was $869,575 in FY2024 (-15.8%), $1.03 million in FY2023 (+31.2%), $787,173 in FY2022 and $6,500 in FY2021.
- The Q1 2026 figure stands as the lowest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in 1 of the last six quarters, with an average decline of 23.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2023, with growth of 160.2%; the weakest was Q4 2023, with a decline of 86.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $403,528 (Q4 2025), $74,827 (Q3 2025) and $78,392 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 5.73 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 704.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 1.53 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Wenyuan | 4.96 Mn | 4.95 Mn | - | 63,416.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Dec 31, 2023 | 76,168.00 |
| 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 |
| Dec 31, 2018 | 3,519.00 |
| Sep 30, 2018 | 2,147.00 |
| Jun 30, 2018 | 4,654.00 |
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();