Orix (IX) Total Expenses (2009 - 2026)
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Analysis
Orix (IX) Total Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 44.05 Bn | 29.73 Bn | - |
| 2 | Orix | 40.96 Bn | 10.18 Bn | 12.74 Bn |
| 3 | Royalty Pharma | 36.72 Bn | 36.63 Bn | - |
| 4 | Affirm Holdings | 23.63 Bn | 17.32 Bn | - |
| 5 | Federal National Mortgage Association Fannie Mae | 23.47 Bn | 23.47 Bn | - |
| 6 | Synchrony Financial | 22.90 Bn | -44.72 Bn | - |
| 7 | Royal Gold | 19.26 Bn | 18.48 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.77 Bn | 4.86 Bn | - |
| 9 | Ares Capital | 13.38 Bn | 10.82 Bn | - |
| 10 | Federal Home Loan Mortgage | 12.16 Bn | -6.58 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.79 Bn |
| Mar 31, 2026 | 11.85 Bn |
| Dec 31, 2025 | 12.03 Bn |
| Sep 30, 2025 | 12.37 Bn |
| Jun 30, 2025 | 12.06 Bn |
| Mar 31, 2025 | 11.15 Bn |
| Dec 31, 2024 | 9.80 Bn |
| Sep 30, 2024 | 13.82 Bn |
| Jun 30, 2024 | 11.55 Bn |
| Mar 31, 2024 | 10.93 Bn |
| Dec 31, 2023 | 9.92 Bn |
| Sep 30, 2023 | 10.27 Bn |
| Jun 30, 2023 | 10.51 Bn |
| Mar 31, 2023 | 9.86 Bn |
| Dec 31, 2022 | 8.55 Bn |
| Sep 30, 2022 | 4.63 Bn |
| Jun 30, 2022 | 9.80 Bn |
| Mar 31, 2022 | 5.41 Bn |
| Dec 31, 2021 | 10.39 Bn |
| Sep 30, 2021 | 11.22 Bn |
API Access
Orix Total 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=total-expenses&ticker=IX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-expenses", "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=total-expenses&ticker=IX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();