Affirm Holdings (AFRM) Financial Services Fees (2019 - 2026)
Affirm Holdings (AFRM) recorded Financial Services Fees of $46.02 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 35.8% from $33.88 million a year earlier but down 63.8% from the prior quarter.
Affirm Holdings (AFRM) Financial Services Fees (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Affirm Holdings reported Financial Services Fees of $173.12 million, up 43.5% from FY2025.
- Annual Financial Services Fees has increased for seven straight fiscal years, with a five-year compound annual growth rate of 47.6% (FY2021 to FY2026).
- Across earlier fiscal years, Financial Services Fees came in at $120.6 million in FY2025 (+26.3%), $95.5 million in FY2024 (+9.1%), $87.5 million in FY2023 (+33.0%) and $65.8 million in FY2022 (+166.2%).
- Quarterly Financial Services Fees has ranged from $9.5 million in fiscal Q1 2022 to $127.1 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Financial Services Fees has increased for ten consecutive quarters, with growth averaging 36.7% over the last eight quarters.
- Peak year-over-year performance for Financial Services Fees in the last five years was growth of 188.1% in fiscal Q4 2022, against a decline of 5.6% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $127.1 million (Q3 2026), $82.44 million (Q2 2026) and $39.7 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 | 46.02 Mn |
| Mar 31, 2026 | 127.10 Mn |
| Dec 31, 2025 | 82.44 Mn |
| Sep 30, 2025 | 39.70 Mn |
| Jun 30, 2025 | 33.88 Mn |
| Mar 31, 2025 | 86.72 Mn |
| Dec 31, 2024 | 54.70 Mn |
| Sep 30, 2024 | 26.00 Mn |
| Jun 30, 2024 | 27.60 Mn |
| Mar 31, 2024 | 67.90 Mn |
| Dec 31, 2023 | 42.60 Mn |
| Sep 30, 2023 | 20.20 Mn |
| Jun 30, 2023 | 23.20 Mn |
| Mar 31, 2023 | 64.30 Mn |
| Dec 31, 2022 | 42.90 Mn |
| Sep 30, 2022 | 21.40 Mn |
| Jun 30, 2022 | 21.56 Mn |
| Mar 31, 2022 | 44.24 Mn |
| Dec 31, 2021 | 20.80 Mn |
| Sep 30, 2021 | 9.50 Mn |
Affirm Holdings Financial Services Fees 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=financial-services-fees&ticker=AFRM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "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=financial-services-fees&ticker=AFRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();