Federal Home Loan Mortgage (FMCC) Assets (2010 - 2026)
Federal Home Loan Mortgage (FMCC) posted Assets of $3.52 trillion for Q2 2026, up 2.4% from $3.44 trillion a year earlier and up 0.4% from the prior quarter.
Federal Home Loan Mortgage (FMCC) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Federal Home Loan Mortgage's Assets came in at $3.5 trillion, up 3.3% from FY2024.
- Annual Assets has increased for 11 consecutive years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In prior years, Federal Home Loan Mortgage's Assets was $3.39 trillion in FY2024 (+3.2%), $3.28 trillion in FY2023 (+2.3%), $3.21 trillion in FY2022 (+6.0%) and $3.03 trillion in FY2021 (+15.2%).
- The Q2 2026 figure stands as the highest quarterly Assets in data going back to Q4 2010.
- On a year-over-year basis, Assets has increased in each of the last 33 quarters, with growth averaging 3.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Assets ranged from 1.7% (Q2 2024) to 19.7% (Q3 2021).
- According to Business Quant data, Assets for the three prior quarters was $3.51 trillion (Q1 2026), $3.5 trillion (Q4 2025) and $3.47 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 41.23 Bn | 9.95 Bn | 4.68 Bn | 112.75 Bn |
| 2 | Rocket Companies | 31.02 Bn | 16.69 Bn | - | 60.98 Bn |
| 3 | Affirm Holdings | 26.16 Bn | 19.85 Bn | - | 15.79 Bn |
| 4 | Royalty Pharma | 25.18 Bn | 22.15 Bn | - | 19.82 Bn |
| 5 | Synchrony Financial | 24.35 Bn | -43.62 Bn | - | 121.93 Bn |
| 6 | Federal National Mortgage Association Fannie Mae | 20.12 Bn | 20.12 Bn | - | 4,332.34 Bn |
| 7 | Royal Gold | 19.91 Bn | 19.09 Bn | 390.45 Mn | 9.45 Bn |
| 8 | Annaly Capital Management | 13.44 Bn | 4.48 Bn | - | 143.74 Bn |
| 9 | Ares Capital | 13.34 Bn | 10.77 Bn | - | 30.50 Bn |
| 10 | Federal Home Loan Mortgage | 10.15 Bn | -8.59 Bn | - | 3,518.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,518.32 Bn |
| Mar 31, 2026 | 3,505.32 Bn |
| Dec 31, 2025 | 3,497.60 Bn |
| Sep 30, 2025 | 3,468.19 Bn |
| Jun 30, 2025 | 3,436.28 Bn |
| Mar 31, 2025 | 3,409.12 Bn |
| Dec 31, 2024 | 3,386.69 Bn |
| Sep 30, 2024 | 3,342.58 Bn |
| Jun 30, 2024 | 3,307.25 Bn |
| Mar 31, 2024 | 3,287.37 Bn |
| Dec 31, 2023 | 3,280.98 Bn |
| Sep 30, 2023 | 3,271.64 Bn |
| Jun 30, 2023 | 3,250.96 Bn |
| Mar 31, 2023 | 3,224.98 Bn |
| Dec 31, 2022 | 3,208.33 Bn |
| Sep 30, 2022 | 3,190.66 Bn |
| Jun 30, 2022 | 3,145.58 Bn |
| Mar 31, 2022 | 3,108.85 Bn |
| Dec 31, 2021 | 3,025.59 Bn |
| Sep 30, 2021 | 2,937.98 Bn |
Federal Home Loan Mortgage Assets 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=assets&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();