Orix (IX) Provision for Credit Losses (2016 - 2026)
Orix (IX) recorded Provision for Credit Losses of $14.87 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 67.5% from $45.78 million a year earlier.
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Analysis
Orix (IX) Provision for Credit Losses (2016 - 2026) Analysis & Trends
On a TTM basis, Orix's Provision for Credit Losses came in at $165.58 million as of Sep 30, 2026, up 15.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $344.93 million, up 16.2% from FY2025.
- Annual Provision for Credit Losses has increased for four straight fiscal years, with a five-year compound annual growth rate of 9.2% (FY2021 to FY2026).
- Across earlier fiscal years, Provision for Credit Losses came in at $296.8 million in FY2025 (+104.1%), $145.39 million in FY2024 (+54.9%), $93.86 million in FY2023 (+7.4%) and $87.43 million in FY2022 (-60.7%).
- Quarterly Provision for Credit Losses has ranged from -$3.38 million in fiscal Q1 2027 to $107.62 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Provision for Credit Losses rose in five of the last seven quarters, with growth averaging 31.1%.
- Peak year-over-year performance for Provision for Credit Losses in the last five years was growth of 275.8% in fiscal Q2 2024, against a decline of 95.1% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$3.38 million (Q1 2027), $107.62 million (Q4 2026) and $46.47 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | -88.32 Mn |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | 14.87 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 1.14 Bn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 1.27 Bn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | 259.36 Mn |
| 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 | - | 800.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.87 Mn |
| Jun 30, 2026 | -3.38 Mn |
| Mar 31, 2026 | 107.62 Mn |
| Dec 31, 2025 | 46.47 Mn |
| Sep 30, 2025 | 45.78 Mn |
| Jun 30, 2025 | 22.42 Mn |
| Mar 31, 2025 | 35.13 Mn |
| Dec 31, 2024 | 39.76 Mn |
| Sep 30, 2024 | 32.32 Mn |
| Jun 30, 2024 | 16.05 Mn |
| Mar 31, 2024 | 45.59 Mn |
| Dec 31, 2023 | 38.48 Mn |
| Sep 30, 2023 | 38.80 Mn |
| Jun 30, 2023 | 21.83 Mn |
| Mar 31, 2023 | 3.10 Mn |
| Dec 31, 2022 | 45.51 Mn |
| Sep 30, 2022 | 10.33 Mn |
| Jun 30, 2022 | 1.92 Mn |
| Mar 31, 2022 | 6.18 Mn |
| Dec 31, 2021 | 35.02 Mn |
API Access
Orix Provision for Credit Losses 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=provision-for-credit-losses&ticker=IX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=IX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();