Orix (IX) Operating Leases (2016 - 2025)
Orix (IX) reported Operating Leases of $1.15 billion for the quarter ended Mar 31, 2025, down 0.6% from $1.16 billion a year earlier.
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Analysis
Orix (IX) Operating Leases (2016 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2016, Orix's Operating Leases record includes 11 quarters.
- Operating Leases has a five-year compound annual growth rate of 2.4% (years ended Mar 2020 to Mar 2025).
- By year, Operating Leases came in at $1.16 billion in the year ended Mar 31, 2024 (-11.1%), $1.3 billion in the year ended Mar 31, 2023 (+6.1%), $1.23 billion in the year ended Mar 31, 2022 (+7.1%) and $1.14 billion in the year ended Mar 31, 2021 (+12.0%).
- The figure for the quarter ended Mar 31, 2025 ranks as the lowest quarterly Operating Leases since the quarter ended Mar 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Federal Home Loan Mortgage | 12.39 Bn | -6.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 1.15 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Mar 31, 2023 | 1.33 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Mar 31, 2021 | 1.15 Bn |
| Mar 31, 2020 | 1.02 Bn |
| Mar 31, 2019 | 959.81 Mn |
| Mar 31, 2018 | 900.91 Mn |
| Dec 31, 2017 | 816.94 Mn |
| Mar 31, 2017 | 811.46 Mn |
| Dec 31, 2016 | 828.72 Mn |
API Access
Orix 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=IX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "IX", "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=IX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();