Affirm Holdings (AFRM) Accumulated Expenses (2020 - 2026)
Affirm Holdings (AFRM) posted Accumulated Expenses of $199.49 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 26.8% from $157.27 million a year earlier but down 8.5% from the prior quarter.
Affirm Holdings (AFRM) Accumulated Expenses (2020 - 2026) Analysis & Trends
Since fiscal Q4 2020, Affirm Holdings has reported Accumulated Expenses for 24 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -9.2% (FY2021 to FY2026).
- In prior fiscal years, Affirm Holdings' Accumulated Expenses was $157.27 million in FY2025 (+6.7%), $147.43 million in FY2024 (-18.5%), $180.88 million in FY2023 (-23.9%) and $237.6 million in FY2022 (-26.6%).
- Quarterly Accumulated Expenses has run from a low of $137.46 million in fiscal Q1 2025 to a high of $450.66 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last seven quarters, with growth averaging 12.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2022, with growth of 878.1%; the weakest was fiscal Q2 2023, with a decline of 49.5%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $217.94 million (Q3 2026), $184.46 million (Q2 2026) and $165.83 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 5 | Synchrony Financial | 23.66 Bn | -44.31 Bn | - |
| 6 | Federal National Mortgage Association Fannie Mae | 23.53 Bn | 23.53 Bn | - |
| 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 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 199.49 Mn |
| Mar 31, 2026 | 217.94 Mn |
| Dec 31, 2025 | 184.46 Mn |
| Sep 30, 2025 | 165.83 Mn |
| Jun 30, 2025 | 157.27 Mn |
| Mar 31, 2025 | 173.63 Mn |
| Dec 31, 2024 | 155.57 Mn |
| Sep 30, 2024 | 137.46 Mn |
| Jun 30, 2024 | 147.43 Mn |
| Mar 31, 2024 | 150.16 Mn |
| Dec 31, 2023 | 150.27 Mn |
| Sep 30, 2023 | 160.33 Mn |
| Jun 30, 2023 | 180.88 Mn |
| Mar 31, 2023 | 192.36 Mn |
| Dec 31, 2022 | 220.62 Mn |
| Sep 30, 2022 | 249.81 Mn |
| Jun 30, 2022 | 237.60 Mn |
| Mar 31, 2022 | 313.31 Mn |
| Dec 31, 2021 | 436.53 Mn |
| Sep 30, 2021 | 450.66 Mn |
Affirm Holdings Accumulated Expenses 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=accumulated-expenses&ticker=AFRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AFRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();