Wenyuan (WYGC) Selling, General & Administrative (2009 - 2026)
Wenyuan (WYGC) posted Selling, General & Administrative of $34,849 for Q2 2026, down 49.0% from $68,389 a year earlier and down 23.3% from the prior quarter.
Wenyuan (WYGC) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Wenyuan was $155,429, down 37.8% year-over-year; for FY2025, it came in at $209,541, down 26.3% from FY2024.
- Annual Selling, General & Administrative shows a four-year compound annual growth rate of 138.3% (FY2021 to FY2025).
- In prior years, Wenyuan's Selling, General & Administrative was $284,319 in FY2024 (-1.2%), $287,830 in FY2023 (+12.6%), $255,691 in FY2022 and $6,500 in FY2021.
- Quarterly Selling, General & Administrative has run from a low of $3,750 in Q4 2021 to a high of $151,510 in Q4 2022 over five years.
- On a year-over-year basis, Selling, General & Administrative has declined in each of the last three quarters, with an average decline of 26.7% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q1 2023, with growth of 706.3%; the weakest was Q4 2025, with a decline of 73.3%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $45,416 (Q1 2026), $18,437 (Q4 2025) and $56,727 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | 2.70 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | 8.42 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 | 1.58 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 | - | 34,849.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34,849.00 |
| Mar 31, 2026 | 45,416.00 |
| Dec 31, 2025 | 18,437.00 |
| Sep 30, 2025 | 56,727.00 |
| Jun 30, 2025 | 68,389.00 |
| Mar 31, 2025 | 65,988.00 |
| Dec 31, 2024 | 69,169.00 |
| Sep 30, 2024 | 46,491.00 |
| Jun 30, 2024 | 75,682.00 |
| Mar 31, 2024 | 92,977.00 |
| Sep 30, 2023 | 71,886.00 |
| Jun 30, 2023 | 62,500.00 |
| Mar 31, 2023 | 78,530.00 |
| Dec 31, 2022 | 151,510.00 |
| Sep 30, 2022 | 21,379.00 |
| Jun 30, 2022 | 73,062.00 |
| Mar 31, 2022 | 9,740.00 |
| Dec 31, 2021 | 3,750.00 |
| Jun 30, 2021 | 2,750.00 |
| Dec 31, 2018 | 3,519.00 |
Wenyuan Selling, General & Administrative 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=selling-general-and-administrative&ticker=WYGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();