Hong Yuan Holding (HGYN) Operating Expenses (2009 - 2026)
Hong Yuan Holding's Operating Expenses came in at $116,939 for Q2 2026, up 102.8% from $57,676 a year earlier and up 0.3% from the prior quarter.
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Analysis
Hong Yuan Holding (HGYN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hong Yuan Holding reported Operating Expenses of $462,401, up 94.5% year-over-year; for FY2025, it was $363,167, up 92.0% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 80.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $189,198 in FY2024 (+22.5%), $154,476 in FY2023 (+164.7%), $58,348 in FY2022 (+26.1%) and $46,276 in FY2021 (+144.7%).
- The five-year range for quarterly Operating Expenses is $2,512 (Q4 2021) to $123,057 (Q4 2023).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 107.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 788.3%), and the weakest in Q4 2021 (a decline of 75.8%).
- Business Quant data shows HGYN's Operating Expenses at $116,552 (Q1 2026), $106,669 (Q4 2025) and $122,241 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 1,016.23 Bn | 978.93 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 490.35 Bn | 413.63 Bn | 12.19 Bn | 8.39 Bn |
| 3 | Kroger | 41.83 Bn | 27.99 Bn | 7.86 Bn | 198.00 Mn |
| 4 | Sysco | 37.95 Bn | 29.87 Bn | 4.05 Bn | 3.33 Bn |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 25.91 Bn | 22.54 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 23.28 Bn | 23.08 Bn | 1.90 Bn | 1.53 Bn |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn | 984.29 Mn |
| 10 | Hong Yuan Holding | 2.24 Mn | 2.27 Mn | 21,466.00 | 116,939.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116,939.00 |
| Mar 31, 2026 | 116,552.00 |
| Dec 31, 2025 | 106,669.00 |
| Sep 30, 2025 | 122,241.00 |
| Jun 30, 2025 | 57,676.00 |
| Mar 31, 2025 | 69,582.00 |
| Dec 31, 2024 | 60,175.00 |
| Sep 30, 2024 | 50,341.00 |
| Jun 30, 2024 | 32,126.00 |
| Mar 31, 2024 | 46,556.00 |
| Dec 31, 2023 | 123,057.00 |
| Sep 30, 2023 | 10,166.00 |
| Jun 30, 2023 | 9,231.00 |
| Mar 31, 2023 | 12,022.00 |
| Dec 31, 2022 | 22,313.00 |
| Sep 30, 2022 | 9,925.00 |
| Jun 30, 2022 | 6,610.00 |
| Mar 31, 2022 | 19,500.00 |
| Dec 31, 2021 | 2,512.00 |
| Sep 30, 2021 | 13,107.00 |
API Access
Hong Yuan Holding 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=HGYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HGYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();