HWH International (ESYN) Operating Expenses (2022 - 2026)
HWH International's Operating Expenses came in at $249,063 for Q2 2026, down 35.1% from $383,868 a year earlier and down 62.9% from the prior quarter.
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Analysis
HWH International (ESYN) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, HWH International reported Operating Expenses of $3.34 million, up 54.5% year-over-year; for FY2025, it was $3.65 million, up 14.5% from FY2024.
- Operating Expenses carries a four-year compound annual growth rate of 419.7% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $3.19 million in FY2024, $1.24 million in FY2023 (+80.5%), $689,646 in FY2022 and $5,000 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q2 2023.
- Year-over-year, Operating Expenses increased in 1 of the last six quarters, with growth averaging 18.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 273.2%), and the weakest in Q1 2025 (a decline of 50.4%).
- Business Quant data shows ESYN's Operating Expenses at $672,202 (Q1 2026), $2.05 million (Q4 2025) and $369,978 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,722.03 Bn | 2,238.72 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 322.82 Bn | 316.06 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 113.89 Bn | 106.85 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 75.11 Bn | 74.20 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 74.58 Bn | 57.51 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 70.09 Bn | 64.68 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 53.21 Bn | 52.12 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.49 Bn | 32.98 Bn | 1.38 Bn | 704.00 Mn |
| 10 | HWH International | 13.12 Mn | 4.65 Mn | 20,364.00 | 249,063.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 249,063.00 |
| Mar 31, 2026 | 672,202.00 |
| Dec 31, 2025 | 2.05 Mn |
| Sep 30, 2025 | 369,978.00 |
| Jun 30, 2025 | 383,868.00 |
| Mar 31, 2025 | 741,722.00 |
| Dec 31, 2024 | 548,770.00 |
| Sep 30, 2024 | 487,394.00 |
| Jun 30, 2024 | 654,740.00 |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 2.62 Mn |
| Aug 31, 2023 | 395,777.00 |
| May 31, 2023 | 236,975.00 |
| Feb 28, 2023 | 153,095.00 |
| Nov 30, 2022 | 347,497.00 |
| Aug 31, 2022 | 167,454.00 |
| May 31, 2022 | 128,821.00 |
| Feb 28, 2022 | 45,874.00 |
API Access
HWH International 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=ESYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ESYN", "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=ESYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();