Affirm Holdings (AFRM) Provision for Credit Losses (2019 - 2026)
Affirm Holdings' Provision for Credit Losses came in at $259.36 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 59.4% from $162.75 million a year earlier and up 16.2% from the prior quarter.
Affirm Holdings (AFRM) Provision for Credit Losses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Affirm Holdings reported Provision for Credit Losses of $893.26 million, up 44.2% year-over-year; for FY2026 (ended Jun 30, 2026), it was $796.65 million, up 29.2% from FY2025.
- Provision for Credit Losses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 64.6% (FY2021 to FY2026).
- Going back by fiscal year, Provision for Credit Losses was $616.68 million in FY2025 (+33.9%), $460.63 million in FY2024 (+38.8%), $331.86 million in FY2023 (+30.0%) and $255.27 million in FY2022 (+287.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Provision for Credit Losses in data going back to fiscal Q2 2020.
- Year-over-year, Provision for Credit Losses has increased for 18 consecutive quarters, with growth averaging 32.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Provision for Credit Losses ranged from 0.2% (fiscal Q3 2023) to 320.4% (fiscal Q2 2022).
- Business Quant data shows AFRM's Provision for Credit Losses at $223.2 million (Q4 2026), $196.54 million (Q3 2026) and $214.15 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 259.36 Mn |
| Jun 30, 2026 | 223.20 Mn |
| Mar 31, 2026 | 196.54 Mn |
| Dec 31, 2025 | 214.15 Mn |
| Sep 30, 2025 | 162.75 Mn |
| Jun 30, 2025 | 156.63 Mn |
| Mar 31, 2025 | 147.25 Mn |
| Dec 31, 2024 | 152.98 Mn |
| Sep 30, 2024 | 159.82 Mn |
| Jun 30, 2024 | 117.61 Mn |
| Mar 31, 2024 | 122.44 Mn |
| Dec 31, 2023 | 120.88 Mn |
| Sep 30, 2023 | 99.70 Mn |
| Jun 30, 2023 | 94.48 Mn |
| Mar 31, 2023 | 66.44 Mn |
| Dec 31, 2022 | 106.69 Mn |
| Sep 30, 2022 | 64.25 Mn |
| Jun 30, 2022 | 72.69 Mn |
| Mar 31, 2022 | 66.29 Mn |
| Dec 31, 2021 | 52.64 Mn |
Affirm Holdings 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=AFRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "AFRM", "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=AFRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();