Orix (IX) Other Accumulated Expenses (2009 - 2025)
Orix (IX) posted Other Accumulated Expenses of $13.17 billion for fiscal Q3 2020 (quarter ended Dec 31, 2019).
Analysis
Orix (IX) Other Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2019 (ended Mar 31, 2019), Orix's Other Accumulated Expenses came in at $13.22 billion, down 2.1% from FY2018.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 228.5% (FY2014 to FY2019).
- In prior fiscal years, Orix's Other Accumulated Expenses was $13.5 billion in FY2018 (+10.7%), $12.2 billion in FY2017 (+1.3%), $12.04 billion in FY2016 and $11.32 million in FY2015 (-67.2%).
- The fiscal Q3 2020 figure stands as the lowest quarterly Other Accumulated Expenses since fiscal Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 42.82 Bn | 31.64 Bn | - |
| 2 | Orix | 38.85 Bn | 7.58 Bn | 12.74 Bn |
| 3 | Royalty Pharma | 30.02 Bn | 27.40 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.05 Bn | 26.05 Bn | - |
| 5 | Synchrony Financial | 23.55 Bn | -44.08 Bn | - |
| 6 | Affirm Holdings | 23.27 Bn | 16.32 Bn | - |
| 7 | Royal Gold | 22.53 Bn | 21.71 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.32 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.77 Bn | 11.52 Bn | - |
| 10 | Federal Home Loan Mortgage | 12.90 Bn | -5.77 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 1.26 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2019 | 13.17 Bn |
| Mar 31, 2019 | 13.22 Bn |
| Mar 31, 2018 | 13.50 Bn |
| Dec 31, 2017 | 472.20 Mn |
| Mar 31, 2017 | 12.20 Bn |
| Dec 31, 2016 | 487.03 Mn |
| Mar 31, 2016 | 12.04 Bn |
| Mar 31, 2015 | 11.32 Mn |
| Mar 31, 2009 | 2.11 Mn |
API Access
Orix 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=IX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=IX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();