Orix (IX) Income and Excise Taxes (2009 - 2026)
Orix (IX) reported Tax Provisions of $1.38 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 177.4% from $498.16 million a year earlier and up 75.4% from the prior quarter.
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Analysis
Orix (IX) Income and Excise Taxes (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Orix's Tax Provisions came in at $2.92 billion, up 153.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.55 billion, up 83.1% from FY2025.
- Tax Provisions has a five-year compound annual growth rate of 12.6% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $845.74 million in FY2025 (-7.2%), $911.06 million in FY2024 (+29.2%), $705.03 million in FY2023 (-57.6%) and $1.66 billion in FY2022 (+94.2%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Tax Provisions in data going back to fiscal Q4 2009.
- Year over year, Tax Provisions has now increased in each of the last six quarters, with growth averaging 86.3% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q4 2026 (growth of 244.9%); the low point was fiscal Q4 2023 (a decline of 72.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $787.89 million (Q1 2027), $387.69 million (Q4 2026) and $361.81 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - |
| 10 | Federal Home Loan Mortgage | 12.64 Bn | -328.33 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.38 Bn |
| Jun 30, 2026 | 787.89 Mn |
| Mar 31, 2026 | 387.69 Mn |
| Dec 31, 2025 | 361.81 Mn |
| Sep 30, 2025 | 498.16 Mn |
| Jun 30, 2025 | 298.70 Mn |
| Mar 31, 2025 | 112.41 Mn |
| Dec 31, 2024 | 242.17 Mn |
| Sep 30, 2024 | 267.21 Mn |
| Jun 30, 2024 | 224.87 Mn |
| Mar 31, 2024 | 263.21 Mn |
| Dec 31, 2023 | 260.83 Mn |
| Sep 30, 2023 | 197.98 Mn |
| Jun 30, 2023 | 184.14 Mn |
| Mar 31, 2023 | 199.65 Mn |
| Dec 31, 2022 | 204.24 Mn |
| Sep 30, 2022 | 153.60 Mn |
| Jun 30, 2022 | -408.99 Mn |
| Mar 31, 2022 | 736.86 Mn |
| Dec 31, 2021 | 289.35 Mn |
API Access
Orix Income and Excise Taxes 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=income-and-excise-taxes&ticker=IX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-and-excise-taxes", "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=income-and-excise-taxes&ticker=IX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();