Federal Home Loan Mortgage (FMCC) Financial Services Fees (2011 - 2026)
Federal Home Loan Mortgage (FMCC) posted Financial Services Fees of $288 million for Q2 2026, down 27.6% from $398 million a year earlier and down 10.0% from the prior quarter.
Federal Home Loan Mortgage (FMCC) Financial Services Fees (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Financial Services Fees at Federal Home Loan Mortgage was $1.36 billion, down 13.2% year-over-year; for FY2025, it was $1.59 billion, down 1.2% from FY2024.
- Annual Financial Services Fees shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior years, Federal Home Loan Mortgage's Financial Services Fees was $1.61 billion in FY2024 (-0.2%), $1.62 billion in FY2023 (+106.3%), $783 million in FY2022 (-24.1%) and $1.03 billion in FY2021 (-28.4%).
- The Q2 2026 figure stands as the lowest quarterly Financial Services Fees since Q4 2024.
- On a year-over-year basis, Financial Services Fees increased in three of the last eight quarters, with an average decline of 3.0%.
- The strongest year-over-year quarter for Financial Services Fees in the past five years was Q1 2023, with growth of 565.7%; the weakest was Q1 2022, with a decline of 71.8%.
- According to Business Quant data, Financial Services Fees for the three prior quarters was $320 million (Q1 2026), $377 million (Q4 2025) and $377 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Orix | 41.21 Bn | 9.93 Bn | 4.68 Bn |
| 2 | Rocket Companies | 30.99 Bn | 16.66 Bn | - |
| 3 | Affirm Holdings | 26.19 Bn | 19.88 Bn | - |
| 4 | Royalty Pharma | 25.20 Bn | 22.16 Bn | - |
| 5 | Synchrony Financial | 24.29 Bn | -43.68 Bn | - |
| 6 | Federal National Mortgage Association Fannie Mae | 20.24 Bn | 20.24 Bn | - |
| 7 | Royal Gold | 19.89 Bn | 19.07 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.34 Bn | 4.38 Bn | - |
| 9 | Ares Capital | 13.30 Bn | 10.74 Bn | - |
| 10 | Federal Home Loan Mortgage | 10.19 Bn | -8.55 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 288.00 Mn |
| Mar 31, 2026 | 320.00 Mn |
| Dec 31, 2025 | 377.00 Mn |
| Sep 30, 2025 | 377.00 Mn |
| Jun 30, 2025 | 398.00 Mn |
| Mar 31, 2025 | 440.00 Mn |
| Dec 31, 2024 | 245.00 Mn |
| Sep 30, 2024 | 487.00 Mn |
| Jun 30, 2024 | 383.00 Mn |
| Mar 31, 2024 | 496.00 Mn |
| Dec 31, 2023 | 539.00 Mn |
| Sep 30, 2023 | 301.00 Mn |
| Jun 30, 2023 | 309.00 Mn |
| Mar 31, 2023 | 466.00 Mn |
| Dec 31, 2022 | 383.00 Mn |
| Sep 30, 2022 | 125.00 Mn |
| Jun 30, 2022 | 205.00 Mn |
| Mar 31, 2022 | 70.00 Mn |
| Dec 31, 2021 | 182.00 Mn |
| Sep 30, 2021 | 246.00 Mn |
Federal Home Loan Mortgage 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=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "ticker": "FMCC", "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=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();