High-Trend International (HTCO) Operating Leases (2023 - 2026)
High-Trend International's Operating Leases was $67,115 in the quarter ended Apr 30, 2026, up 2.8% from $65,290 a year earlier.
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Analysis
High-Trend International (HTCO) Operating Leases (2023 - 2026) Analysis & Trends
As of Oct 31, 2025, Operating Leases at High-Trend International came in at $26,533, up 13.4% from the prior year.
- In earlier years, Operating Leases was $23,407 in the year ended Oct 31, 2024 (-78.6%) and $109,492 in the year ended Oct 31, 2023.
- The figure for the quarter ended Apr 30, 2026 marks the highest quarterly Operating Leases since the quarter ended Oct 31, 2023.
- Compared with a year earlier, Operating Leases was higher in three of the last four quarters, with an average decline of 14.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.47 Bn | 164.99 Bn | - |
| 2 | Csx | 89.21 Bn | 85.41 Bn | - |
| 3 | United Parcel Service | 83.90 Bn | 60.80 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.28 Bn | 76.30 Bn | - |
| 5 | Norfolk Southern | 73.05 Bn | 67.69 Bn | - |
| 6 | Fedex | 70.97 Bn | 36.91 Bn | - |
| 7 | Delta Air Lines | 50.13 Bn | 32.32 Bn | - |
| 8 | Old Dominion Freight Line | 39.18 Bn | 38.44 Bn | - |
| 9 | United Airlines Holdings | 31.95 Bn | -24.42 Bn | - |
| 10 | High-Trend International | 6.07 Mn | -41.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 67,115.00 |
| Oct 31, 2025 | 26,533.00 |
| Apr 30, 2025 | 65,290.00 |
| Oct 31, 2024 | 23,407.00 |
| Apr 30, 2024 | 63,249.00 |
| Oct 31, 2023 | 109,492.00 |
| Apr 30, 2023 | 64,538.00 |
API Access
High-Trend International Operating Leases 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-leases&ticker=HTCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=HTCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();