Affirm Holdings (AFRM) Provisions (2019 - 2026)
Affirm Holdings' Provisions came in at $223.2 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 42.5% from $156.63 million a year earlier and up 13.6% from the prior quarter.
Affirm Holdings (AFRM) Provisions (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Affirm Holdings' Provisions was $796.65 million, up 29.2% from FY2025.
- Provisions 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, Provisions 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 Q4 2026 figure represents the highest quarterly Provisions in data going back to fiscal Q2 2020.
- Year-over-year, Provisions has increased for 17 consecutive quarters, with growth averaging 32.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Provisions ranged from 0.2% (fiscal Q3 2023) to 320.4% (fiscal Q2 2022).
- Business Quant data shows AFRM's Provisions at $196.54 million (Q3 2026), $214.15 million (Q2 2026) and $162.75 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.07 Bn | 28.75 Bn | - | - |
| 2 | Orix | 41.51 Bn | 42.01 Bn | 4.68 Bn | - |
| 3 | Royalty Pharma | 32.73 Bn | 32.65 Bn | - | - |
| 4 | Affirm Holdings | 27.21 Bn | 20.90 Bn | - | 223.20 Mn |
| 5 | Synchrony Financial | 23.66 Bn | -44.31 Bn | - | 1.20 Bn |
| 6 | Federal National Mortgage Association Fannie Mae | 23.53 Bn | 23.53 Bn | - | 485.00 Mn |
| 7 | Royal Gold | 20.00 Bn | 19.23 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 13.74 Bn | 4.84 Bn | - | - |
| 9 | Ares Capital | 13.33 Bn | 10.76 Bn | - | - |
| 10 | Federal Home Loan Mortgage | 11.90 Bn | -6.84 Bn | - | -880.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 63.65 Mn |
Affirm Holdings Provisions 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=provisions&ticker=AFRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=AFRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();