Affirm Holdings (AFRM) Other Operating Expenses (2019 - 2026)
Affirm Holdings (AFRM) reported Other Operating Expenses of $871.86 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 27.2% from $685.5 million a year earlier and up 8.3% from the prior quarter.
Affirm Holdings (AFRM) Other Operating Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Affirm Holdings posted Other Operating Expenses of $3.27 billion, up 18.0% from FY2025.
- Other Operating Expenses has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 30.3% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $2.77 billion in FY2025 (+15.0%), $2.41 billion in FY2024 (+11.1%), $2.17 billion in FY2023 (+32.3%) and $1.64 billion in FY2022 (+88.2%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to fiscal Q2 2020.
- Year over year, Other Operating Expenses has now increased in each of the last 23 quarters, with growth averaging 16.6% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 4.6% (fiscal Q1 2026) and 119.0% (fiscal Q2 2022) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $805.03 million (Q3 2026), $864.17 million (Q2 2026) and $724.74 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 | 871.86 Mn |
| Mar 31, 2026 | 805.03 Mn |
| Dec 31, 2025 | 864.17 Mn |
| Sep 30, 2025 | 724.74 Mn |
| Jun 30, 2025 | 685.50 Mn |
| Mar 31, 2025 | 657.22 Mn |
| Dec 31, 2024 | 731.29 Mn |
| Sep 30, 2024 | 692.62 Mn |
| Jun 30, 2024 | 609.32 Mn |
| Mar 31, 2024 | 603.03 Mn |
| Dec 31, 2023 | 630.38 Mn |
| Sep 30, 2023 | 563.96 Mn |
| Jun 30, 2023 | 561.20 Mn |
| Mar 31, 2023 | 516.81 Mn |
| Dec 31, 2022 | 600.45 Mn |
| Sep 30, 2022 | 488.12 Mn |
| Jun 30, 2022 | 483.83 Mn |
| Mar 31, 2022 | 438.85 Mn |
| Dec 31, 2021 | 415.92 Mn |
| Sep 30, 2021 | 299.25 Mn |
Affirm Holdings Other Operating 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=other-operating-expenses&ticker=AFRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=AFRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();