Hong Yuan Holding (HGYN) Selling, General & Administrative (2010 - 2026)
Hong Yuan Holding's Selling, General & Administrative came in at $82,346 for Q2 2026, up 76.0% from $46,799 a year earlier and up 22.5% from the prior quarter.
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Analysis
Hong Yuan Holding (HGYN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hong Yuan Holding reported Selling, General & Administrative of $286,880, up 49.8% year-over-year; for FY2025, it came in at $236,116, up 55.0% from FY2024.
- Selling, General & Administrative has increased in each of the last four years, with a five-year compound annual growth rate of 102.1% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $152,343 in FY2024 (+32.5%), $114,954 in FY2023 (+440.0%), $21,289 in FY2022 (+305.1%) and $5,255 in FY2021 (-25.0%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2023.
- Year-over-year, Selling, General & Administrative has increased for six consecutive quarters, with growth averaging 44.8% over the last seven quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2023 (growth of 609.5%), and the weakest in Q1 2023 (a decline of 98.8%).
- Business Quant data shows HGYN's Selling, General & Administrative at $67,235 (Q1 2026), $70,043 (Q4 2025) and $67,256 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Hong Yuan Holding | 2.99 Mn | 3.02 Mn | 21,466.00 | 82,346.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82,346.00 |
| Mar 31, 2026 | 67,235.00 |
| Dec 31, 2025 | 70,043.00 |
| Sep 30, 2025 | 67,256.00 |
| Jun 30, 2025 | 46,799.00 |
| Mar 31, 2025 | 45,019.00 |
| Dec 31, 2024 | 55,193.00 |
| Sep 30, 2024 | 44,460.00 |
| Jun 30, 2024 | 21,463.00 |
| Mar 31, 2024 | 31,227.00 |
| Dec 31, 2023 | 114,804.00 |
| Sep 30, 2023 | 60.00 |
| Jun 30, 2023 | 30.00 |
| Mar 31, 2023 | 60.00 |
| Dec 31, 2022 | 16,180.00 |
| Sep 30, 2022 | 30.00 |
| Jun 30, 2022 | 60.00 |
| Mar 31, 2022 | 5,019.00 |
| Sep 30, 2021 | 1,755.00 |
| Mar 31, 2021 | 3,500.00 |
API Access
Hong Yuan Holding 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=HGYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "HGYN", "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=HGYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();