Orix (IX) Prepaid Assets (2009 - 2014)
Orix's Prepaid Assets came in at $681.17 million for the quarter ended Sep 30, 2014, up 22.2% from $557.62 million a year earlier but down 4.3% from the prior quarter.
Orix (IX) Prepaid Assets (2009 - 2014) Analysis & Trends
As of Mar 31, 2014, Orix's Prepaid Assets was $618.17 million, up 1.5% from the prior year.
- Prepaid Assets carries a five-year compound annual growth rate of 11.9% (years ended Mar 2009 to Mar 2014).
- Going back by year, Prepaid Assets was $609.08 million in the year ended Mar 31, 2013 (+26.6%), $481 million in the year ended Mar 31, 2012 (-10.3%), $536 million in the year ended Mar 31, 2011 and $573.06 million in the year ended Jun 30, 2010.
- The five-year range for quarterly Prepaid Assets is $389.39 million (the quarter ended Dec 31, 2009) to $711.74 million (the quarter ended Jun 30, 2014).
- Year-over-year, Prepaid Assets has increased for four consecutive quarters, with growth averaging 8.5% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Jun 30, 2010 (growth of 53.1%), and the weakest in the quarter ended Dec 31, 2012 (a decline of 10.6%).
- Business Quant data shows IX's Prepaid Assets at $711.74 million (quarter ended Jun 30, 2014), $601.81 million (quarter ended Mar 31, 2014) and $589.58 million (quarter ended Dec 31, 2013) in the three quarters before the quarter ended Sep 30, 2014.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Orix | 41.18 Bn | 9.90 Bn | 4.68 Bn |
| 2 | Rocket Companies | 30.87 Bn | 16.55 Bn | - |
| 3 | Affirm Holdings | 26.11 Bn | 19.80 Bn | - |
| 4 | Royalty Pharma | 25.20 Bn | 22.16 Bn | - |
| 5 | Synchrony Financial | 24.32 Bn | -43.65 Bn | - |
| 6 | Federal National Mortgage Association Fannie Mae | 20.83 Bn | 20.83 Bn | - |
| 7 | Royal Gold | 19.70 Bn | 18.88 Bn | 390.45 Mn |
| 8 | Ares Capital | 13.30 Bn | 10.74 Bn | - |
| 9 | Annaly Capital Management | 13.26 Bn | 4.30 Bn | - |
| 10 | Federal Home Loan Mortgage | 10.54 Bn | -8.20 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 681.17 Mn |
| Jun 30, 2014 | 711.74 Mn |
| Mar 31, 2014 | 601.81 Mn |
| Dec 31, 2013 | 589.58 Mn |
| Sep 30, 2013 | 557.62 Mn |
| Jun 30, 2013 | 561.13 Mn |
| Mar 31, 2013 | 547.16 Mn |
| Dec 31, 2012 | 524.73 Mn |
| Sep 30, 2012 | 559.43 Mn |
| Jun 30, 2012 | 570.14 Mn |
| Mar 31, 2012 | 499.36 Mn |
| Dec 31, 2011 | 587.25 Mn |
| Sep 30, 2011 | 608.21 Mn |
| Jun 30, 2011 | 623.71 Mn |
| Mar 31, 2011 | 541.85 Mn |
| Dec 31, 2010 | 593.25 Mn |
| Sep 30, 2010 | 590.59 Mn |
| Jun 30, 2010 | 573.06 Mn |
| Mar 31, 2010 | 500.59 Mn |
| Dec 31, 2009 | 389.39 Mn |
Orix Prepaid Assets 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=prepaid-assets&ticker=IX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=IX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();