Apollo Commercial Real Estate Finance Liquidating Trust (ARI) Provision for Credit Losses (2016 - 2026)
Apollo Commercial Real Estate Finance (ARI) posted Provision for Credit Losses of -$379.22 million for Q2 2026, compared with $3.11 million a year earlier.
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Analysis
Apollo Commercial Real Estate Finance Liquidating Trust (ARI) Provision for Credit Losses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Credit Losses at Apollo Commercial Real Estate Finance was -$387.93 million; for FY2025, it was $3.23 million, down 98.8% from FY2024.
- Annual Provision for Credit Losses shows a five-year compound annual growth rate of -51.9% (FY2020 to FY2025).
- In prior years, Apollo Commercial Real Estate Finance's Provision for Credit Losses was $277.01 million in FY2024 (+95.8%), $141.48 million in FY2023, -$17.62 million in FY2022 and -$34.77 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Provision for Credit Losses in data going back to Q2 2016.
- According to Business Quant data, Provision for Credit Losses for the three prior quarters was -$3.29 million (Q1 2026), $945,000 (Q4 2025) and -$6.37 million (Q3 2025).
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 | Apollo Commercial Real Estate Finance Liquidating Trust | 297.45 Mn | -1.45 Bn | - | -379.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -379.22 Mn |
| Mar 31, 2026 | -3.29 Mn |
| Dec 31, 2025 | 945,000.00 |
| Sep 30, 2025 | -6.37 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | 4.01 Mn |
| Dec 31, 2024 | 119.97 Mn |
| Sep 30, 2024 | 127.51 Mn |
| Jun 30, 2024 | 10.26 Mn |
| Mar 31, 2024 | 147.68 Mn |
| Dec 31, 2023 | -777,000.00 |
| Sep 30, 2023 | -5.83 Mn |
| Jun 30, 2023 | 141.48 Mn |
| Mar 31, 2023 | 4.39 Mn |
| Dec 31, 2022 | 20.27 Mn |
| Sep 30, 2022 | -55.56 Mn |
| Jun 30, 2022 | -944,000.00 |
| Mar 31, 2022 | 18.61 Mn |
| Dec 31, 2021 | 1.82 Mn |
| Sep 30, 2021 | -5.77 Mn |
API Access
Apollo Commercial Real Estate Finance Liquidating Trust 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=ARI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "ARI", "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=ARI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();