HWH International (HWH) Other Accumulated Expenses (2023 - 2026)
HWH International's Other Accumulated Expenses came in at $1.2 million for Q2 2026, down 78.2% from $5.51 million a year earlier but up 33.4% from the prior quarter.
HWH International (HWH) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, HWH International's Other Accumulated Expenses was $613,140, down 48.6% from FY2024.
- Going back by year, Other Accumulated Expenses was $1.19 million in FY2024.
- The five-year range for quarterly Other Accumulated Expenses is $33,475 (Q2 2023) to $6.08 million (Q1 2024).
- Year-over-year, Other Accumulated Expenses increased in two of the last five quarters, with an average decline of 37.5%.
- Business Quant data shows HWH's Other Accumulated Expenses at $901,568 (Q1 2026), $613,140 (Q4 2025) and $739,797 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | HWH International | 19.86 Mn | 11.45 Mn | 20,364.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 901,568.00 |
| Dec 31, 2025 | 613,140.00 |
| Sep 30, 2025 | 739,797.00 |
| Jun 30, 2025 | 5.51 Mn |
| Mar 31, 2025 | 760,619.00 |
| Dec 31, 2024 | 1.19 Mn |
| Sep 30, 2024 | 685,153.00 |
| Mar 31, 2024 | 6.08 Mn |
| May 31, 2023 | 33,475.00 |
HWH International Other Accumulated 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=other-accumulated-expenses&ticker=HWH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "HWH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=HWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();