Federal Home Loan Mortgage (FMCC) Cash & Equivalents (2010 - 2026)
Federal Home Loan Mortgage (FMCC) recorded Cash & Equivalents of $4.32 billion in Q2 2026, up 1.3% from $4.27 billion a year earlier but down 3.3% from the prior quarter.
Federal Home Loan Mortgage (FMCC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Federal Home Loan Mortgage reported Cash & Equivalents of $5.33 billion, down 3.7% from FY2024.
- Annual Cash & Equivalents has declined for five straight years, with a five-year compound annual growth rate of -25.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $5.53 billion in FY2024 (-8.1%), $6.02 billion in FY2023 (-5.4%), $6.36 billion in FY2022 (-37.3%) and $10.15 billion in FY2021 (-57.5%).
- Quarterly Cash & Equivalents has ranged from $3.53 billion in Q1 2024 to $10.53 billion in Q1 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in two of the last eight quarters, with an average decline of 2.3%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 35.7% in Q1 2025, against a decline of 89.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.47 billion (Q1 2026), $5.33 billion (Q4 2025) and $4.62 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 41.24 Bn | 9.96 Bn | 4.68 Bn | 5.98 Bn |
| 2 | Rocket Companies | 31.07 Bn | 16.75 Bn | - | 3.10 Bn |
| 3 | Affirm Holdings | 26.20 Bn | 19.89 Bn | - | 1.63 Bn |
| 4 | Royalty Pharma | 25.19 Bn | 22.15 Bn | - | 811.99 Mn |
| 5 | Synchrony Financial | 24.34 Bn | -43.63 Bn | - | 16.19 Bn |
| 6 | Federal National Mortgage Association Fannie Mae | 20.07 Bn | 20.07 Bn | - | - |
| 7 | Royal Gold | 19.93 Bn | 19.11 Bn | 390.45 Mn | 182.47 Mn |
| 8 | Annaly Capital Management | 13.42 Bn | 4.46 Bn | - | 2.91 Bn |
| 9 | Ares Capital | 13.33 Bn | 10.77 Bn | - | 383.00 Mn |
| 10 | Federal Home Loan Mortgage | 10.12 Bn | -8.62 Bn | - | 4.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.32 Bn |
| Mar 31, 2026 | 4.47 Bn |
| Dec 31, 2025 | 5.33 Bn |
| Sep 30, 2025 | 4.62 Bn |
| Jun 30, 2025 | 4.27 Bn |
| Mar 31, 2025 | 4.79 Bn |
| Dec 31, 2024 | 5.53 Bn |
| Sep 30, 2024 | 4.86 Bn |
| Jun 30, 2024 | 5.53 Bn |
| Mar 31, 2024 | 3.53 Bn |
| Dec 31, 2023 | 6.02 Bn |
| Sep 30, 2023 | 5.35 Bn |
| Jun 30, 2023 | 5.51 Bn |
| Mar 31, 2023 | 5.87 Bn |
| Dec 31, 2022 | 6.36 Bn |
| Sep 30, 2022 | 5.69 Bn |
| Jun 30, 2022 | 5.26 Bn |
| Mar 31, 2022 | 10.53 Bn |
| Dec 31, 2021 | 10.15 Bn |
| Sep 30, 2021 | 9.48 Bn |
Federal Home Loan Mortgage Cash & Equivalents 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=cash-and-equivalents&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();