Orix (IX) Accumulated Expenses (2009 - 2025)
Orix (IX) recorded Accumulated Expenses of $1.76 billion in fiscal Q2 2015 (quarter ended Sep 30, 2014), up 1.5% from $1.73 billion a year earlier and up 7.1% from the prior quarter.
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Analysis
Orix (IX) Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2014 (ended Mar 31, 2014), Orix reported Accumulated Expenses of $1.85 billion, up 43.7% from FY2013.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 13.5% (FY2009 to FY2014).
- Across earlier fiscal years, Accumulated Expenses came in at $1.29 billion in FY2013 (-3.8%), $1.34 billion in FY2012 (-5.9%), $1.42 billion in FY2011 and $1.07 billion in FY2010.
- Quarterly Accumulated Expenses has ranged from $997.74 million in fiscal Q3 2010 to $1.85 billion in fiscal Q4 2014 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 20.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 61.8% in fiscal Q1 2015, against a decline of 12.4% in fiscal Q1 2014 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.64 billion (Q1 2015), $1.85 billion (Q4 2014) and $1.7 billion (Q3 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 41.86 Bn | 27.54 Bn | - |
| 2 | Orix | 41.36 Bn | 10.08 Bn | 12.74 Bn |
| 3 | Royalty Pharma | 29.12 Bn | 26.08 Bn | - |
| 4 | Affirm Holdings | 25.78 Bn | 19.47 Bn | - |
| 5 | Federal National Mortgage Association Fannie Mae | 25.05 Bn | 25.05 Bn | - |
| 6 | Synchrony Financial | 23.30 Bn | -44.32 Bn | - |
| 7 | Royal Gold | 20.48 Bn | 19.66 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.24 Bn | 5.20 Bn | - |
| 9 | Ares Capital | 13.92 Bn | 11.67 Bn | - |
| 10 | Federal Home Loan Mortgage | 12.16 Bn | -6.52 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 158.03 Mn |
| Mar 31, 2024 | 175.09 Mn |
| Dec 31, 2017 | 183.65 Mn |
| Dec 31, 2016 | 223.39 Mn |
| Sep 30, 2014 | 1.76 Bn |
| Jun 30, 2014 | 1.64 Bn |
| Mar 31, 2014 | 1.85 Bn |
| Dec 31, 2013 | 1.70 Bn |
| Sep 30, 2013 | 1.73 Bn |
| Jun 30, 2013 | 1.01 Bn |
| Mar 31, 2013 | 1.29 Bn |
| Dec 31, 2012 | 1.21 Bn |
| Sep 30, 2012 | 1.30 Bn |
| Jun 30, 2012 | 1.16 Bn |
| Mar 31, 2012 | 1.34 Bn |
| Dec 31, 2011 | 1.23 Bn |
| Sep 30, 2011 | 1.31 Bn |
| Jun 30, 2011 | 1.20 Bn |
| Mar 31, 2011 | 1.42 Bn |
| Dec 31, 2010 | 1.31 Bn |
API Access
Orix 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=accumulated-expenses&ticker=IX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=IX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();