Oriental Rise Holdings (ORISF) Operating Leases (2022 - 2025)
Oriental Rise Holdings' Operating Leases was $168,000 in the quarter ended Dec 31, 2025, down 6.1% from $179,000 a year earlier.
Analysis
Oriental Rise Holdings (ORISF) Operating Leases (2022 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2022 onward, Oriental Rise Holdings has reported Operating Leases for 6 quarters.
- Operating Leases shows a three-year compound annual growth rate of 1.9% (years ended Dec 2022 to Dec 2025).
- In earlier years, Operating Leases was $179,000 in the year ended Dec 31, 2024 (-10.5%), $200,000 in the year ended Dec 31, 2023 (+25.8%) and $159,000 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Operating Leases since the quarter ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn |
| 10 | Oriental Rise Holdings | 105,324.66 | -171.28 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 168,000.00 |
| Jun 30, 2025 | 182,000.00 |
| Dec 31, 2024 | 179,000.00 |
| Jun 30, 2024 | 187,000.00 |
| Dec 31, 2023 | 200,000.00 |
| Dec 31, 2022 | 159,000.00 |
API Access
Oriental Rise Holdings 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=ORISF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "ORISF", "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=ORISF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();