Federal Home Loan Mortgage (FMCC) Total Liabilities (2010 - 2026)
Federal Home Loan Mortgage (FMCC) reported Total Liabilities of $3.44 trillion for Q2 2026, up 2.0% from $3.37 trillion a year earlier and up 0.3% from the prior quarter.
Federal Home Loan Mortgage (FMCC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Federal Home Loan Mortgage posted Total Liabilities of $3.43 trillion, up 3.0% from FY2024.
- Total Liabilities has increased for 11 consecutive years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $3.33 trillion in FY2024 (+2.9%), $3.23 trillion in FY2023 (+2.0%), $3.17 trillion in FY2022 (+5.8%) and $3 trillion in FY2021 (+14.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last 33 quarters, with growth averaging 2.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 1.4% (Q2 2024) to 19.4% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.43 trillion (Q1 2026), $3.43 trillion (Q4 2025) and $3.4 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 41.21 Bn | 9.93 Bn | 4.68 Bn | 83.16 Bn |
| 2 | Rocket Companies | 31.09 Bn | 16.76 Bn | - | 37.43 Bn |
| 3 | Affirm Holdings | 26.19 Bn | 19.88 Bn | - | 10.31 Bn |
| 4 | Royalty Pharma | 25.16 Bn | 22.12 Bn | - | 10.03 Bn |
| 5 | Synchrony Financial | 24.34 Bn | -43.63 Bn | - | 105.03 Bn |
| 6 | Federal National Mortgage Association Fannie Mae | 20.07 Bn | 20.07 Bn | - | 4,215.85 Bn |
| 7 | Royal Gold | 19.93 Bn | 19.11 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Annaly Capital Management | 13.38 Bn | 4.42 Bn | - | 126.76 Bn |
| 9 | Ares Capital | 13.31 Bn | 10.75 Bn | - | 16.61 Bn |
| 10 | Federal Home Loan Mortgage | 10.12 Bn | -8.62 Bn | - | 3,440.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,440.55 Bn |
| Mar 31, 2026 | 3,431.40 Bn |
| Dec 31, 2025 | 3,427.21 Bn |
| Sep 30, 2025 | 3,400.59 Bn |
| Jun 30, 2025 | 3,371.47 Bn |
| Mar 31, 2025 | 3,346.71 Bn |
| Dec 31, 2024 | 3,327.12 Bn |
| Sep 30, 2024 | 3,286.19 Bn |
| Jun 30, 2024 | 3,254.03 Bn |
| Mar 31, 2024 | 3,236.91 Bn |
| Dec 31, 2023 | 3,233.25 Bn |
| Sep 30, 2023 | 3,226.98 Bn |
| Jun 30, 2023 | 3,209.00 Bn |
| Mar 31, 2023 | 3,185.91 Bn |
| Dec 31, 2022 | 3,171.32 Bn |
| Sep 30, 2022 | 3,155.43 Bn |
| Jun 30, 2022 | 3,111.48 Bn |
| Mar 31, 2022 | 3,077.14 Bn |
| Dec 31, 2021 | 2,997.55 Bn |
| Sep 30, 2021 | 2,912.67 Bn |
Federal Home Loan Mortgage Total Liabilities 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=total-liabilities&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();