Orix (IX) Price to Book (2009 - 2026)
Orix's (IX) Price to Book came in at 1.42 for the quarter ended Jun 30, 2026, up 58.6% from 0.90 a year earlier and up 23.1% from the prior quarter.
Orix (IX) Price to Book (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Orix's Price to Book stood at 1.11, up 25.1% from the prior year.
- In prior years, Orix's Price to Book was 0.89 in the year ended Mar 31, 2025 (-10.1%), 0.99 in the year ended Mar 31, 2024 (+30.2%), 0.76 in the year ended Mar 31, 2023 (-8.3%) and 0.83 in the year ended Mar 31, 2022 (+10.9%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Price to Book in data going back to the quarter ended Mar 31, 2009.
- On a year-over-year basis, Price to Book has increased in each of the last three quarters, with growth averaging 13.7% over the last eight quarters.
- The strongest year-over-year quarter for Price to Book in the past five years was the quarter ended Jun 30, 2026, with growth of 58.6%; the weakest was the quarter ended Sep 30, 2022, with a decline of 19.4%.
- According to Business Quant data, Price to Book for the three prior quarters was 1.16 (quarter ended Mar 31, 2026), 1.10 (quarter ended Dec 31, 2025) and 0.99 (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 |
| Mar 31, 2026 | 1.16 |
| Dec 31, 2025 | 1.10 |
| Sep 30, 2025 | 0.99 |
| Jun 30, 2025 | 0.90 |
| Mar 31, 2025 | 0.89 |
| Dec 31, 2024 | 0.90 |
| Sep 30, 2024 | 1.06 |
| Jun 30, 2024 | 1.01 |
| Mar 31, 2024 | 0.99 |
| Dec 31, 2023 | 0.86 |
| Sep 30, 2023 | 0.87 |
| Jun 30, 2023 | 0.83 |
| Mar 31, 2023 | 0.74 |
| Dec 31, 2022 | 0.77 |
| Sep 30, 2022 | 0.67 |
| Jun 30, 2022 | 0.78 |
| Mar 31, 2022 | 0.86 |
| Dec 31, 2021 | 0.88 |
| Sep 30, 2021 | 0.83 |
Orix Price to Book 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=price-to-book&ticker=IX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=IX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();