High-Trend International (HTCO) Other Accumulated Expenses (2021 - 2026)
High-Trend International's Other Accumulated Expenses came in at $2.68 million for the quarter ended Apr 30, 2026, compared with $83,080 a year earlier.
High-Trend International (HTCO) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
As of Oct 31, 2025, High-Trend International's Other Accumulated Expenses was $91,059, down 98.3% from the prior year.
- Other Accumulated Expenses carries a four-year compound annual growth rate of -66.1% (years ended Oct 2021 to Oct 2025).
- Going back by year, Other Accumulated Expenses was $5.5 million in the year ended Oct 31, 2024 (+41.2%), $3.9 million in the year ended Oct 31, 2023 (+31.0%), $2.98 million in the year ended Oct 31, 2022 (-57.0%) and $6.92 million in the year ended Oct 31, 2021.
- The figure for the quarter ended Apr 30, 2026 represents the highest quarterly Other Accumulated Expenses since the quarter ended Oct 31, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | High-Trend International | 12.69 Mn | -29.15 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 2.68 Mn |
| Oct 31, 2025 | 91,059.00 |
| Apr 30, 2025 | 83,080.00 |
| Oct 31, 2024 | 5.50 Mn |
| Apr 30, 2024 | 7.74 Mn |
| Oct 31, 2023 | 3.90 Mn |
| Apr 30, 2023 | 2.90 Mn |
| Oct 31, 2022 | 2.98 Mn |
| Oct 31, 2021 | 6.92 Mn |
High-Trend 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=HTCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "HTCO", "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=HTCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();